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Now we have to add a configuration file for the spelling checker. It uses PySpelling under the hood. When checking Markdown files, it first converts a Markdown text file's buffer using Python Markdown and returns a single SourceText object containing the text as HTML. Then it captures the HTML content, comments, and even attributes and performs the check. It has a lot of configuration options, but here we are going to see only an example with some basics. For further info you can read the docs of the rojopolis/spellcheck-github-actions Github action.
This blog is being checked with the examples provided in this post, because it is generated from Markdown files, so you can get the code of the examples directly from https://github.com/javierbrea/personal-website.
Now we have to add a configuration file for the spelling checker. It uses PySpelling under the hood. When checking Markdown files, it first converts a Markdown text file's buffer using Python Markdown and returns a single SourceText object containing the text as HTML. Then it captures the HTML content, comments, and even attributes and performs the check. It has a lot of configuration options, but here we are going to see only an example with some basics. For further info you can read the docs of the rojopolis/spellcheck-github-actions Github action.
Now we have to add a configuration file for the spelling checker. It uses PySpelling under the hood. When checking Markdown files, it first converts a Markdown text file's buffer using Python Markdown and returns a single SourceText object containing the text as HTML. Then it captures the HTML content, comments, and even attributes and performs the check. It has a lot of configuration options, but here we are going to see only an example with some basics. For further info you can read the docs of the rojopolis/spellcheck-github-actions Github action.