MLIR Highlighting for VSCode

Implements syntax highlighting for MLIR code by applying TextMate grammar rules that tokenize MLIR source text into semantic tokens (keywords, operators, identifiers, literals) and map them to VS Code theme colors. The extension uses a declarative grammar file (likely JSON or PLIST format) that defines regex-based patterns for MLIR constructs, enabling real-time colorization as users type or open files without requiring AST parsing or language server infrastructure.

Provides syntax highlighting rules for 8 distinct MLIR dialects (Affine, LLVM IR, TensorFlow Lite, Tile, gpu, nvvm, loop, vector) by maintaining separate or integrated grammar patterns that recognize dialect-specific operations, attributes, and type systems. Each dialect has unique syntax conventions (e.g., gpu.launch vs affine.for), and the extension's grammar rules distinguish these to apply appropriate token colors, enabling developers to visually identify which dialect a given operation belongs to.

Automatically activates syntax highlighting when a .mlir file is opened or when a file's language ID is set to 'mlir' in VS Code. The extension registers a language definition with VS Code's language registry, triggering grammar application without requiring manual configuration or command invocation. This is implemented via the extension's package.json manifest, which declares file associations and language metadata that VS Code uses to select the appropriate grammar on file open.

Maps MLIR syntax tokens to VS Code's standard TextMate token scopes (e.g., keyword, operator, variable, type, comment), which are then colored according to the user's active VS Code theme. The extension does not define its own colors; instead, it assigns semantic meaning to tokens (e.g., 'this is a keyword'), and VS Code's theme engine applies colors based on the user's theme settings. This allows the highlighting to adapt to light, dark, and custom themes without hardcoding colors.

Provides syntax highlighting using only TextMate grammar rules and regex-based tokenization, without requiring a language server process or AST parsing. The extension operates entirely within VS Code's built-in grammar engine, which applies regex patterns to source text and emits tokens in real-time. This approach avoids the overhead of spawning a separate process, maintaining a persistent connection, or parsing the full AST, making the extension lightweight and responsive even on large files.