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## Summary Garbage collect ASTs once we are done checking a given file. Queries with a cross-file dependency on the AST will reparse the file on demand. This reduces ty's peak memory usage by ~20-30%. The primary change of this PR is adding a `node_index` field to every AST node, that is assigned by the parser. `ParsedModule` can use this to create a flat index of AST nodes any time the file is parsed (or reparsed). This allows `AstNodeRef` to simply index into the current instance of the `ParsedModule`, instead of storing a pointer directly. The indices are somewhat hackily (using an atomic integer) assigned by the `parsed_module` query instead of by the parser directly. Assigning the indices in source-order in the (recursive) parser turns out to be difficult, and collecting the nodes during semantic indexing is impossible as `SemanticIndex` does not hold onto a specific `ParsedModuleRef`, which the pointers in the flat AST are tied to. This means that we have to do an extra AST traversal to assign and collect the nodes into a flat index, but the small performance impact (~3% on cold runs) seems worth it for the memory savings. Part of https://github.com/astral-sh/ty/issues/214.
52 lines
1.5 KiB
Text
52 lines
1.5 KiB
Text
---
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source: crates/ruff_python_parser/tests/fixtures.rs
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input_file: crates/ruff_python_parser/resources/inline/ok/global_stmt.py
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---
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## AST
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```
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Module(
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ModModule {
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node_index: AtomicNodeIndex(..),
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range: 0..24,
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body: [
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Global(
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StmtGlobal {
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node_index: AtomicNodeIndex(..),
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range: 0..8,
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names: [
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Identifier {
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id: Name("x"),
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range: 7..8,
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node_index: AtomicNodeIndex(..),
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},
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],
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},
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),
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Global(
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StmtGlobal {
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node_index: AtomicNodeIndex(..),
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range: 9..23,
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names: [
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Identifier {
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id: Name("x"),
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range: 16..17,
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node_index: AtomicNodeIndex(..),
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},
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Identifier {
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id: Name("y"),
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range: 19..20,
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node_index: AtomicNodeIndex(..),
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},
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Identifier {
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id: Name("z"),
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range: 22..23,
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node_index: AtomicNodeIndex(..),
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},
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],
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},
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),
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],
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},
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)
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```
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