Multilog Analysis (Logx)

[Jeffrey-Moon]

Added tests to test the features but they were AI generated as a result of me being lazy... If you can think of edge cases, let me know.

Zero-Copy Parser Optimization

• Replaced Polars group_by loops with an $O(N)$ contiguous boundary detector.
• Slices telemetry values into zero-copy NumPy array views of master columns, dropping parsing time to 60ms and saving 280MB of RAM per log for a test log with size $736.9\text{MB}$.
• Parses log start timestamps from the header.

Run Catalog & Scanner

• Indexes directory log headers in under 1ms per file.
• Implemented date filtering and lazy evaluation in check_any with automatic garbage collection to prevent OOM leaks.
• Added unified path resolution for directories, wildcards, and list inputs.

Overlay Graphing & Downsampling

• Added plot_comparison and compare_summary to overlay relative time coordinates
• Implemented max_points parameter using zero-copy step-slicing.
• Fixed step calculation using ceiling division (n_points + max_points - 1) // max_points to enforce a strict upper bound.

Hybrid Semantic Search

• Added optional SentenceTransformer vector search
• Caches embeddings in-memory with automatic invalidation.
• Lazy-loads imports to execute on keyword search if PyTorch/models are missing offline

[chinmaygovind]

Why does this function need to live in this file?

[Jeffrey-Moon]

it was originally in csv.py but chukka said to just move it to init unless I misunderstood him. I think once we have more auxiliary functions we can create a new file