Mixin Network Flutter Plugins

mixin_markdown_widget is a high-performance, desktop-first Flutter Markdown reader package. It is designed for high-quality reading surfaces and features highly customizable block-based rendering.

Key capabilities include:

• Streaming Support: Optimized for LLM responses using MarkdownController for incremental parsing.
• Advanced Selection: A model-driven selection engine (MarkdownSelectionController) that supports word selection, block selection, and table cell range selection.
• Rich Syntax: Supports CommonMark, GFM task lists, tables, footnotes, definition lists, math (TeX), and inline HTML.
• Customization: Deep control over block rendering (code blocks, bullets, images), link handling, and theming via MarkdownThemeData.

In CppJieba, the file extension of a dictionary file indicates its character encoding. Use the appropriate extension based on your required encoding:

• .utf8: Files encoded in UTF-8.
• .gbk: Files encoded in GBK.

CppJieba uses different dictionaries depending on the segmentation algorithm selected:

1. MPSegment (Max Probability): Uses jieba.dict.utf8 or jieba.dict.gbk.
2. HMMSegment (Hidden Markov Model): Uses hmm_model.utf8 or hmm_model.gbk.
3. MixSegment (Hybrid): Uses both jieba.dict and hmm_model dictionaries to combine the strengths of both algorithms.

When performing keyword extraction via the KeywordExtractor (which uses the TF-IDF algorithm), the following dictionaries are required:

• IDF Information: Use idf.utf8 to provide Inverse Document Frequency data.
• Stop Words: Use stop_words.utf8 to define the list of words to be excluded during extraction.

When calling native functions via Dart FFI, consider the execution time of the function to maintain UI performance:

• Short-running functions: Can be invoked directly from any isolate (e.g., simple arithmetic).
• Long-running functions: Should be invoked on a helper isolate to prevent blocking the main thread and dropping frames in the Flutter application.