CS 631-01 Systems Foundations — Meeting Summary¶
Date: February 12, 2026
Time: 08:10 AM Pacific Time (US and Canada)
Meeting ID: 870 0988 0761
Quick Recap¶
The session focused on Rust programming concepts in the context of parsing arithmetic expressions. Greg led a walkthrough of Rust code paralleling a previous C implementation, emphasizing:
- Ownership, borrowing, and mutable references
- Move semantics and how ownership transfers between parse nodes
- Memory management differences between Rust and C (owned/heap vs. borrowed/stack)
- Pattern matching with irrefutable patterns
- Techniques for updating and mutating nested parse tree nodes
Next Steps¶
- Greg: Fix broken or 404 lecture note links after class.
- Greg: Publish the C visualizer mode code from the previous class for student access.
Detailed Summary¶
Rust Code Structure and Syntax¶
- Discussed Rust modules, imports, enums, and structs, drawing parallels to the prior C codebase to aid comprehension.
- Introduced token types and their role in parsing.
- Noted the final project:
- Expand the NT language to completeness
- Add evaluation capabilities
- Due: One week from Monday
Rust Scan Table Implementation Overview¶
- Explained implementing a scan table and token types using Rust vectors for arguments.
- Clarified syntax differences between Rust and C.
- Mentioned the future-purpose “-E” option for selecting output bases for expressions.
- Covered type inference and mutability, including creating and using a mutable scan table.
Rust Memory Management Overview¶
- Reviewed ownership and borrowing:
- How ownership transfers between variables
- Differences from C’s manual allocation and deallocation
- Clarified module usage with
useand the relationship betweenmod scananduse scan. - Distinguished
Clonevs.Copytraits and when each applies. - Highlighted Rust enums as a flexible way to combine data and structure (more expressive than C’s separate enums and structs).
Rust’s Move Semantics and Ownership¶
- Demonstrated move semantics:
- After a move, the destination (e.g., node 3) owns the data previously held by the source (e.g., node 1).
- Ownership is immediate and local: a parent owns its direct child; the root does not have special transitive ownership beyond that structure.
- Used a code example to illustrate direct, one-level ownership in tree structures.
Recursive Ownership in Rust Trees¶
- Explained drop behavior in trees:
- Dropping the root causes each parent to drop what it directly owns, cascading through the tree.
- Introduced mutable tree examples and irrefutable matching (LTF syntax), emphasizing the ubiquity of pattern matching in Rust.
- Discussed strategies for accessing tree nodes:
- Ownership transfer
- Traversal via matching or recursion
- Noted that Rust’s ownership model provides rigor compared to C’s less structured memory management.
Node Data Transfer Discussion¶
- Described transferring data from node 1 and node 2 into node 3:
- After transfer, the original nodes are no longer accessible.
- Clarified the meaning of
&in function signatures: passing references to parse nodes. - Considered alternative ownership scopes but retained the current, working approach.
Rust Parsing and Ownership Concepts¶
- Reviewed parsing functions and why mutable references are required:
- To update the scan table
- To manage ownership during parse node construction
- Explained
matchstructure for recursive parsing and value binding. - Covered mutable bindings for updating pointer-like values.
- Emphasized the logical similarity between the Rust and C parsers.
Rust Arithmetic Expression Parser Implementation¶
- Walked through:
- Token handling
- Building operator enums
- Ownership transfer for left and right operands
- Highlighted exhaustive pattern matching:
- Use of catch-all patterns for non-exhaustive cases
- Addressed questions on intermediate ownership states:
- Confirmed the necessity of mutable references for correct parser behavior.
Rust Ownership and Lambda Functions¶
- Clarified that ownership is a compile-time guarantee that does not exist at runtime.
- Explained function return behavior:
- A function can return a value without “owning” it at runtime; ownership is enforced by the type system.
- Differentiated owned types (heap-allocated) from borrowed references (no heap space).
- Introduced closures (lambdas) for error handling, e.g., applying a function to an error when parsing fails.
Rust Parse Tree Mutations¶
- Demonstrated mutating parse trees:
- Using
mutto allow mutation - Using
if letwith pattern matching to access nested nodes - Dereferencing
Boxpointers and replacing subtrees - Verified changes through a test case.
- Encouraged ongoing questions and help-seeking; the next session will be on Tuesday.