fix large jpg rendering

[jsta]

workflows/docs/net_modification.jpg does not render at https://nbviewer.org/github/insarlab/MintPy-tutorial/blob/main/workflows/smallbaselineApp_aria.ipynb

I'm not sure if it's a general jpg issue or the fact that the dimensions of the jpg in question are very large

Summary by Sourcery

Fix the rendering issue of a large image in the notebook by changing its format from JPG to PNG.

Bug Fixes:

• Fix image rendering issue by changing the file format from JPG to PNG in the notebook.

[review-notebook-app[bot]]

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[sourcery-ai[bot]]

Reviewer's Guide by Sourcery

This pull request addresses an issue with rendering a large JPG image in the MintPy-tutorial repository. The change involves replacing the file extension of an image from '.jpg' to '.png' in the 'workflows/smallbaselineApp_aria.ipynb' Jupyter notebook.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Changed image file extension from JPG to PNG	Updated the image source attribute from 'docs/net_modification.jpg' to 'docs/net_modification.png'	workflows/smallbaselineApp_aria.ipynb

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[codeautopilot[bot]]

PR summary

This Pull Request addresses an issue with rendering a large JPEG image in a Jupyter Notebook hosted on nbviewer. The original JPEG image, net_modification.jpg, was not displaying correctly due to its large dimensions. The solution implemented in this PR involves converting the image to a PNG format, which is now referenced in the notebook. This change ensures that the image renders properly on nbviewer, improving the visual presentation and accessibility of the tutorial content.

Suggestion

To further enhance the robustness of image rendering in the notebook, consider optimizing the image size and resolution to balance quality and loading performance. Additionally, verify that the PNG format consistently resolves rendering issues across different platforms and browsers. If similar issues persist, exploring alternative image hosting solutions or embedding methods might be beneficial.

Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect.

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