Docusaurus doesn't have a built-in feature to create a separate image sitemap. The @docusaurus/plugin-sitemap only handles generating a sitemap for your pages and documentation, not for media like images.
Since the plugin doesn't have a specific option for image sitemaps, the recommended approach is to manually create an XML file that follows the image sitemap protocol and place it in the static directory of your Docusaurus project.
To define a property that can be a string or null in OpenAPI (Swagger), you use different methods depending on the OpenAPI specification version.
To fix a detached HEAD in Git, you need to save your work by creating a new branch or by checking out an existing one. A detached HEAD occurs when you check out a specific commit, tag, or a remote branch's commit instead of a local branch name (1). In this state, any new commits you make are not part of any branch, making them easy to lose.
The HEAD pointer in Git usually points to the tip of a branch (e.g., main, feature-a). A detached HEAD means the pointer is pointing directly to a commit instead of a branch.
Python helper function for making it work both locally and on Vercel is to correctly determine the project's root directory, as Vercel's serverless environment can change the working directory.
The primary cause for import errors on Vercel is often a mismatch between your local development environment's flexibility and Vercel's strict, serverless build process. Beyond the crucial __init__.py file, you need to pay attention to your project's overall structure, the way you write imports, and Vercel's build configuration.
The imports working perfectly fine locally, but failed after deploying on Vercel. The error I've experiencing is common when deploying Python applications with a specific file structure. My local environment likely handles imports differently than Vercel's serverless environment(because of the folder structure), which can cause import errors. The solution is to ensure that my project structure is recognized as a Python package
To transform emojis back into text in Python, you can use the emoji module, which is a powerful third-party library for handling emojis. Specifically, the demojize() function converts Unicode emoji characters into their human-readable shortcode text (e.g., 👍 becomes :thumbs_up:) [2].
To convert text to emoji in Python, you can use the emoji module. This third-party library provides functions to replace specific text patterns, known as "shortcodes" or "aliases," with their corresponding Unicode emoji characters. This is the most straightforward and recommended way to add emojis to your text [1, 3].
The pyenv: python: command not found error occurs when pyenv is not properly configured to manage your Python versions. The solution is to ensure your shell's configuration files are correctly updated to point to pyenv's shims, which are small executable files that intercept commands like python and pip and redirect them to the correct Python version [4, 5].