Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Fix napari 0.5.0 compatybility #1116

Merged
merged 7 commits into from
Jul 2, 2024
Merged

fix: Fix napari 0.5.0 compatybility #1116

merged 7 commits into from
Jul 2, 2024

Conversation

Czaki
Copy link
Collaborator

@Czaki Czaki commented Jul 2, 2024

Summary by CodeRabbit

  • New Features

    • Enhanced compatibility with Napari version 5.0, including conditional logic for colormap and layer viewing.
  • Bug Fixes

    • Improved color handling logic for label highlighting in various widgets.
    • Corrected rendering image logic in tests to ensure accurate assertions.
  • Dependencies

    • Updated numpy dependency to version >= 1.18.5 but < 2.
  • Tests

    • Introduced version-based conditional logic in tests for better Napari compatibility.
    • Adjusted test assertions for image rendering and colormap type validations.

@Czaki Czaki added this to the 0.15.3 milestone Jul 2, 2024
Copy link
Contributor

sourcery-ai bot commented Jul 2, 2024

🧙 Sourcery has finished reviewing your pull request!


Tips
  • Trigger a new Sourcery review by commenting @sourcery-ai review on the pull request.
  • Continue your discussion with Sourcery by replying directly to review comments.
  • You can change your review settings at any time by accessing your dashboard:
    • Enable or disable the Sourcery-generated pull request summary or reviewer's guide;
    • Change the review language;
  • You can always contact us if you have any questions or feedback.

Copy link
Contributor

coderabbitai bot commented Jul 2, 2024

Walkthrough

The recent changes primarily involve updating the PartSeg package and its associated tests to accommodate the new napari version 5.0. These updates include adding conditional checks based on the napari version, modifying the way colormaps are handled, and updating test cases to reflect changes in rendering methods. Additionally, there is an update in the pyproject.toml to restrict the numpy version to below 2.

Changes

Files/Packages Change Summary
package/PartSeg/common_gui/napari_image_view.py Added condition _napari_ge_5, updated _mark_layer function, added view property and get_highlight_colormap function.
package/PartSeg/plugins/napari_widgets/search_label_widget.py Introduced use of DirectLabelColormap for setting colormap for highlighting labels.
package/PartSeg/plugins/napari_widgets/lables_control.py Introduced Napari version check using importlib.metadata and updated color handling logic.
package/tests/test_PartSeg/test_channel_control.py Replaced canvas.render() calls with _render() method.
package/tests/test_PartSeg/test_napari_image_view.py Added conditional logic for EXPECTED_RANGE based on Napari version.
package/tests/test_PartSeg/test_napari_widgets.py Introduced conditional logic for version check with new functions to validate colormap types.
pyproject.toml Updated numpy dependency to numpy>=1.18.5,<2.
package/tests/test_PartSeg/test_common_backend.py Modified assertion condition in test_safe_repr_napari_image to use startswith method.

🐇
Amidst the code, in lines that wind,
Napari's version checks you'll find.
Colormaps dance with colors bright,
Tests now render in the light.
Changes precise, dependencies set,
With numpy bound, our work's reset. 🌟

Tip

AI model upgrade

gpt-4o model for reviews and chat is now live

OpenAI claims that this model is better at understanding and generating code than the previous models. Please join our Discord Community to provide any feedback or to report any issues.


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share
Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link
Contributor

@sourcery-ai sourcery-ai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

We've reviewed this pull request using the Sourcery rules engine. If you would also like our AI-powered code review then let us know.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between ecf008e and 78fa047.

Files selected for processing (5)
  • package/PartSeg/_roi_mask/image_view.py (2 hunks)
  • package/PartSeg/common_backend/base_settings.py (3 hunks)
  • package/PartSeg/common_gui/error_report.py (3 hunks)
  • package/PartSeg/common_gui/napari_image_view.py (3 hunks)
  • pyproject.toml (1 hunks)
Additional comments not posted (10)
package/PartSeg/_roi_mask/image_view.py (2)

1-2: Import statement additions are appropriate.

The added imports for version and parse_version are necessary for the version checking logic introduced later.

Also applies to: 3-3


10-10: Version check and conditional logic are correct.

The _napari_ge_0_5_0 check and the corresponding conditional logic ensure compatibility with napari version 0.5.0.

Also applies to: 22-25

pyproject.toml (1)

57-57: Dependency version range update is appropriate.

The change to the numpy dependency version range ensures compatibility with mahotas by requiring a rebuild for numpy 2.

package/PartSeg/common_gui/error_report.py (2)

15-15: Import statement additions are appropriate.

The added imports for version and parse_version are necessary for the version checking logic introduced later.

Also applies to: 22-22


58-58: Version check and conditional logic are correct.

The _napari_ge_5 check and the corresponding conditional logic ensure compatibility with napari version 0.5.0.

Also applies to: 88-91

package/PartSeg/common_backend/base_settings.py (3)

20-20: Import statement addition is appropriate.

The added import for parse_version is necessary for the version checking logic introduced later.


41-41: Version check is correct.

The _napari_ge_5 check ensures compatibility with napari version 0.5.0.


274-275: Conditional logic in the theme property is correct.

The conditional logic ensures the theme property returns the correct value based on the napari version.

package/PartSeg/common_gui/napari_image_view.py (2)

45-45: LGTM! Version check for napari 0.5.0a1.

The version check _napari_ge_5 is correctly implemented using parse_version.


969-974: LGTM! Conditional view property based on napari version.

The view property is correctly implemented to return self.canvas.view if _napari_ge_5 is True.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 78fa047 and 427c405.

Files selected for processing (1)
  • package/PartSeg/common_gui/error_report.py (3 hunks)
Files skipped from review as they are similar to previous changes (1)
  • package/PartSeg/common_gui/error_report.py

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 1

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 427c405 and a7fa090.

Files selected for processing (2)
  • package/PartSeg/common_gui/napari_image_view.py (4 hunks)
  • package/PartSeg/plugins/napari_widgets/search_label_widget.py (2 hunks)
Files skipped from review as they are similar to previous changes (1)
  • package/PartSeg/common_gui/napari_image_view.py

@@ -4,6 +4,7 @@
from magicgui.widgets import Container, HBox, PushButton, SpinBox, create_widget
from napari import Viewer
from napari.layers import Labels
from napari.utils import DirectLabelColormap
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Remove redundant entry in color_dict.

The color_dict parameter in DirectLabelColormap has a redundant entry for None. The DirectLabelColormap can handle missing keys without explicit None entry.

- colormap=DirectLabelColormap(color_dict={0: (0, 0, 0, 0), 1: "white", None: (0, 0, 0, 0)}),
+ colormap=DirectLabelColormap(color_dict={0: (0, 0, 0, 0), 1: "white"}),

Also applies to: 81-81

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between a7fa090 and 0b52061.

Files selected for processing (6)
  • package/PartSeg/common_gui/napari_image_view.py (3 hunks)
  • package/PartSeg/plugins/napari_widgets/lables_control.py (2 hunks)
  • package/PartSeg/plugins/napari_widgets/search_label_widget.py (2 hunks)
  • package/tests/test_PartSeg/test_channel_control.py (3 hunks)
  • package/tests/test_PartSeg/test_napari_image_view.py (3 hunks)
  • package/tests/test_PartSeg/test_napari_widgets.py (4 hunks)
Files skipped from review as they are similar to previous changes (1)
  • package/PartSeg/plugins/napari_widgets/search_label_widget.py
Additional comments not posted (18)
package/PartSeg/plugins/napari_widgets/lables_control.py (3)

1-1: Consider importing version and parse_version together.

To improve readability and maintainability, consider importing version and parse_version in a single import statement.

from importlib.metadata import version
from packaging.version import parse as parse_version

Also applies to: 6-6


13-13: Ensure the version check is correctly implemented.

The version check logic seems correct, but ensure that parse_version(version("napari")) correctly retrieves the napari version at runtime.


44-47: Ensure correct colormap assignment based on napari version.

The conditional logic for assigning colormap based on the napari version is correctly implemented. Ensure that layer.colormap and layer.color are the correct attributes for the respective napari versions.

Verification successful

Correct colormap assignment based on napari version.

The conditional logic for colormap assignment based on the napari version is correctly implemented. The attributes layer.colormap and layer.color are valid and appropriately used for the respective napari versions.

  • package/PartSeg/plugins/napari_widgets/lables_control.py: layer.colormap = labels, layer.color = labels
Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that the colormap assignment is correctly handled based on napari version.

# Test: Check the attributes of a napari Labels layer. Expect: colormap for napari >= 0.5.0 and color for napari < 0.5.0.
python -c "from napari.layers import Labels; from packaging.version import parse as parse_version; from importlib.metadata import version; print(hasattr(Labels, 'colormap'), hasattr(Labels, 'color'))"

Length of output: 288



Script:

#!/bin/bash
# Description: Verify that the colormap assignment is correctly handled based on napari version.

# Search for the colormap attribute in the Labels class
ast-grep --lang python --pattern $'class Labels:\n  $$$\n  colormap = $_\n  $$$'

# Search for the color attribute in the Labels class
ast-grep --lang python --pattern $'class Labels:\n  $$$\n  color = $_\n  $$$'

Length of output: 154



Script:

#!/bin/bash
# Description: Verify that the colormap assignment is correctly handled based on napari version.

# Search for colormap references in the napari codebase
rg --word-regexp 'colormap'

# Search for color references in the napari codebase
rg --word-regexp 'color'

Length of output: 32800

package/tests/test_PartSeg/test_napari_image_view.py (4)

4-4: Consider importing version and parse_version together.

To improve readability and maintainability, consider importing version and parse_version in a single import statement.

from importlib.metadata import version
from packaging.version import parse as parse_version

Also applies to: 11-11


33-36: Ensure the conditional logic for EXPECTED_RANGE is correct.

The conditional logic for setting EXPECTED_RANGE based on the napari version is correctly implemented. Ensure that EXPECTED_RANGE values are appropriate for the respective napari versions.


259-259: Ensure the EXPECTED_RANGE is correctly applied.

The usage of EXPECTED_RANGE in the test case is correctly implemented. Ensure that the value of EXPECTED_RANGE is appropriate for the napari version and the test case.


30-30: Ensure the version check is correctly implemented.

The version check logic seems correct, but ensure that parse_version(version("napari")) correctly retrieves the napari version at runtime.

package/tests/test_PartSeg/test_channel_control.py (2)

312-317: Ensure the _render() method is correctly implemented.

The replacement of canvas.render() with _render() method calls on viewer_widget instances is correctly implemented. Ensure that the _render() method is correctly defined and behaves as expected.

Verification successful

Ensure the _render() method is correctly implemented.

The replacement of canvas.render() with _render() method calls on viewer_widget instances is correctly implemented. The _render() method is defined and conditionally calls the appropriate render method based on the version of the napari library.

  • _render method implementation:
    def _render(self):
        if _napari_ge_5:
            return self.canvas._scene_canvas.render()
        return self.canvas.render()
Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that the `_render()` method on `viewer_widget` instances is correctly implemented.

# Test: Check the definition of `_render()` method. Expect: Correct method definition.
rg --type python 'def _render' package/PartSeg/common_gui/napari_image_view.py

Length of output: 111



Script:

#!/bin/bash
# Description: Verify that the `_render()` method on `viewer_widget` instances is correctly implemented.

# Test: Check the definition of `_render()` method. Expect: Correct method definition.
rg 'def _render' package/PartSeg/common_gui/napari_image_view.py

Length of output: 89



Script:

#!/bin/bash
# Description: Extract the implementation details of the `_render()` method in `package/PartSeg/common_gui/napari_image_view.py`.

# Test: Retrieve the full implementation of `_render` method.
ast-grep --lang python --pattern 'def _render(self): $$$' package/PartSeg/common_gui/napari_image_view.py

Length of output: 453


331-337: Ensure the _render() method is correctly implemented.

The replacement of canvas.render() with _render() method calls on viewer_widget instances is correctly implemented. Ensure that the _render() method is correctly defined and behaves as expected.

Verification successful

The _render() method is correctly implemented.

The _render() method in the viewer_widget class is correctly defined and properly calls the appropriate rendering functions based on the version of Napari being used.

  • File: package/PartSeg/common_gui/napari_image_view.py
  • Lines: 1-10
def _render(self):
    if _napari_ge_5:
        return self.canvas._scene_canvas.render()
    return self.canvas.render()
Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that the `_render()` method on `viewer_widget` instances is correctly implemented.

# Test: Check the definition of `_render()` method. Expect: Correct method definition.
rg --type python 'def _render' package/PartSeg/common_gui/napari_image_view.py

Length of output: 111



Script:

#!/bin/bash
# Description: Verify that the `_render()` method on `viewer_widget` instances is correctly implemented.

# Test: Check the definition of `_render()` method. Expect: Correct method definition.
ast-grep --lang python --pattern 'def _render($_) { $$$ }'

Length of output: 506



Script:

#!/bin/bash
# Description: Verify that the `_render()` method on `viewer_widget` instances is correctly implemented.

# Test: Check the definition of `_render()` method. Expect: Correct method definition.
ast-grep --lang python --pattern 'def _render($$):'

Length of output: 53



Script:

#!/bin/bash
# Description: Verify the existence of `_render()` or similarly named methods in the codebase.

# Test: List all method definitions in the repository.
ast-grep --lang python --pattern 'def $FUNC($$):'

Length of output: 51



Script:

#!/bin/bash
# Description: Verify the existence of `_render()` method in the codebase.

# Test: Search for the `_render` method definition in the entire repository.
rg 'def _render'

Length of output: 89



Script:

#!/bin/bash
# Description: Extract the implementation of the `_render()` method.

# Test: Extract the `_render` method implementation from the specified file.
ast-grep --lang python --pattern 'def _render($$): { $$$ }' package/PartSeg/common_gui/napari_image_view.py

Length of output: 109



Script:

#!/bin/bash
# Description: Extract the implementation of the `_render()` method.

# Test: Extract the `_render` method implementation from the specified file.
rg -A 10 'def _render' package/PartSeg/common_gui/napari_image_view.py

Length of output: 312

package/tests/test_PartSeg/test_napari_widgets.py (4)

4-4: Consider importing version and parse_version together.

To improve readability and maintainability, consider importing version and parse_version in a single import statement.

from importlib.metadata import version
from packaging.version import parse as parse_version

Also applies to: 14-14


378-380: Ensure correct colormap and color_mode assignment in test cases.

The usage of check_auto_mode and check_direct_mode functions in the test cases is correctly implemented. Ensure that the colormap and color_mode attributes are appropriately assigned based on the napari version.


60-60: Ensure the version check is correctly implemented.

The version check logic seems correct, but ensure that parse_version(version("napari")) correctly retrieves the napari version at runtime.

Verification successful

The version check is correctly implemented.

The static analysis confirms that parse_version(version("napari")) is used correctly to retrieve and compare the napari version.

  • package/tests/test_PartSeg/test_napari_widgets.py: Line 60
Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that the version check for napari is correctly implemented.

# Test: Print the napari version. Expect: Correct napari version string.
python -c "from importlib.metadata import version; print(version('napari'))"

Length of output: 158



Script:

#!/bin/bash
# Description: Verify that the version check for napari is correctly implemented.

# Test: Print the napari version. Expect: Correct napari version string.
python3 -c "from importlib.metadata import version; print(version('napari'))"

Length of output: 160



Script:

#!/bin/bash
# Description: Verify the usage of parse_version and version functions in the codebase.

# Search for the usage of parse_version in the codebase
echo "Searching for parse_version usage..."
rg 'parse_version' 

# Search for the usage of version function from importlib.metadata in the codebase
echo "Searching for version function usage..."
rg 'from importlib.metadata import version'

Length of output: 4573


62-81: Ensure correct colormap and color_mode assignment based on napari version.

The conditional logic for colormap and color_mode assignment based on the napari version is correctly implemented. Ensure that CyclicLabelColormap, DirectLabelColormap, and color_mode attributes are appropriate for the respective napari versions.

Verification successful

Ensure correct colormap and color_mode assignment based on napari version.

The imports and usage of CyclicLabelColormap and DirectLabelColormap are correctly implemented in the test file package/tests/test_PartSeg/test_napari_widgets.py. The conditional logic ensures that these colormaps are assigned based on the napari version. Additionally, the color_mode attribute is checked correctly in the alternative branch of the conditional logic.

  • package/tests/test_PartSeg/test_napari_widgets.py: Correct usage of CyclicLabelColormap and DirectLabelColormap.
  • package/PartSeg/common_gui/napari_image_view.py: Correct usage of DirectLabelColormap.
Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that the colormap and color_mode attributes are correctly handled based on napari version.

# Test: Check the attributes of a napari Labels layer. Expect: Correct colormap and color_mode attributes.
python -c "from napari.layers import Labels; from packaging.version import parse as parse_version; from importlib.metadata import version; print(hasattr(Labels, 'colormap'), hasattr(Labels, 'color_mode'))"

Length of output: 293



Script:

#!/bin/bash
# Search for usage of 'colormap' in the 'Labels' layer
ast-grep --lang python --pattern $'class Labels($_) {\n  $$$\n  self.colormap = $_\n  $$$\n}' 

# Search for usage of 'color_mode' in the 'Labels' layer
ast-grep --lang python --pattern $'class Labels($_) {\n  $$$\n  self.color_mode = $_\n  $$$\n}' 

Length of output: 873



Script:

#!/bin/bash
# Search for the definition of the 'Labels' class and inspect its methods or attributes
ast-grep --lang python --pattern $'class Labels($_) {\n  $$$\n}' 

# Search for imports of 'CyclicLabelColormap' and 'DirectLabelColormap'
rg 'from napari.utils.colormaps import CyclicLabelColormap'
rg 'from napari.utils.colormaps import DirectLabelColormap'

Length of output: 973



Script:

#!/bin/bash
# Search for usage of 'CyclicLabelColormap' in the codebase
rg 'CyclicLabelColormap'

# Search for usage of 'DirectLabelColormap' in the codebase
rg 'DirectLabelColormap'

Length of output: 731

package/PartSeg/common_gui/napari_image_view.py (5)

45-46: Version check for napari 0.5.0 compatibility added.

The version check _napari_ge_5 is correctly implemented.


48-55: New function get_highlight_colormap added.

The function correctly handles colormap based on the napari version.


853-853: Updated _mark_layer function to use get_highlight_colormap.

The function correctly integrates the new colormap handling.


979-983: New _render method added to NapariQtViewer class.

The method correctly handles rendering based on the napari version.


984-989: New view property added to NapariQtViewer class.

The property correctly returns the canvas view based on the napari version.

Copy link

codecov bot commented Jul 2, 2024

Codecov Report

Attention: Patch coverage is 75.00000% with 17 lines in your changes missing coverage. Please review.

Project coverage is 92.91%. Comparing base (ecf008e) to head (78941e1).
Report is 85 commits behind head on develop.

Files with missing lines Patch % Lines
package/PartSeg/common_gui/napari_image_view.py 60.00% 6 Missing ⚠️
package/tests/test_PartSeg/test_napari_widgets.py 62.50% 6 Missing ⚠️
package/PartSeg/_roi_mask/image_view.py 83.33% 1 Missing ⚠️
package/PartSeg/common_backend/base_settings.py 75.00% 1 Missing ⚠️
package/PartSeg/common_gui/error_report.py 83.33% 1 Missing ⚠️
...e/PartSeg/plugins/napari_widgets/lables_control.py 85.71% 1 Missing ⚠️
...ckage/tests/test_PartSeg/test_napari_image_view.py 85.71% 1 Missing ⚠️
Additional details and impacted files
@@             Coverage Diff             @@
##           develop    #1116      +/-   ##
===========================================
- Coverage    92.95%   92.91%   -0.05%     
===========================================
  Files          205      205              
  Lines        32464    32519      +55     
===========================================
+ Hits         30177    30215      +38     
- Misses        2287     2304      +17     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

Copy link

sonarcloud bot commented Jul 2, 2024

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 0b52061 and 78941e1.

Files selected for processing (1)
  • package/tests/test_PartSeg/test_common_backend.py (1 hunks)
Files skipped from review due to trivial changes (1)
  • package/tests/test_PartSeg/test_common_backend.py

@Czaki Czaki merged commit 1eb2297 into develop Jul 2, 2024
54 of 56 checks passed
@Czaki Czaki deleted the prepare_napari_0.5.0 branch July 2, 2024 20:13
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant