feat(vortex): integrate Ocular tracing functionality with callbacks and telemetry

- Added `callbacks.rs` to handle tracing events such as instruction execution, jumps, and function returns.
- Introduced `model.rs` to define data structures for trace events and metadata.
- Created `state.rs` to manage global state, including event queues, tracing status, and pattern filtering.
- Developed `telemetry.rs` to process and report tracing statistics, including hot traces and instruction hits.
- Updated `mod.rs` to expose new functions for starting and stopping tracing, as well as retrieving statistics.
- Implemented pattern matching for including/excluding specific code during tracing.
- Ensured thread safety and efficient memory management using atomic types and queues.

Co-authored-by: Iris Seravelle <iris.seravelle@gmail.com>

Author: SSL-ACTX

Cargo.toml

@@ -21,6 +21,7 @@ tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter", "time"] }
 once_cell = "1"
 crossbeam-channel = "0.5"
+crossbeam-queue = "0.3.11"
 
 # Python (Default)
 pyo3 = { version = "0.20", features = ["auto-initialize"], optional = true}