📦 deps(thirdparty): update snapshots

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ci[bot]
2026-07-01 16:02:41 +00:00
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# Advanced Debugging Techniques
## When the Program Hangs
When a program runs but never returns, that *is* information — something is stuck. Don't guess; interrupt
and observe.
```
Bug: program hangs (infinite loop or deadlock)
→ dap pause ← interrupt wherever it is (returns OK immediately)
[the already-blocking debug/continue/step call returns auto-context: location + locals]
Stopped at process() · worker.py:55, locals: i=99999
→ dap threads ← are other threads blocked too?
→ dap eval "lock.locked()" ← test deadlock hypothesis
Root cause: lock never released. Fix → dap stop.
```
Check: is it one thread stuck (infinite loop, blocking I/O), or are multiple threads waiting on each
other (deadlock)? The location where `pause` stops is your first clue.
## Digging Into Complex State
When a variable is opaque or deeply nested, expand it: `dap inspect data --depth 2`.
## Concurrency Bugs
If state is wrong but the code path looks correct, consider: is another thread modifying state
concurrently?
**First move at any concurrent crash or hang:** run `dap threads`, then inspect every thread's stack with
`dap thread <id>` — the thread causing the problem is often not the one currently stopped.
- **Deadlock pattern**: two or more threads each waiting for a resource the other holds. Check thread
states to confirm.
- **Race condition**: unexpected values that change between stops. Look for shared mutable state
accessed without synchronization.
## Bisecting Loops (Wolf Fence)
A loop goes wrong at an unknown iteration. Binary search it:
```
dap debug app.py --break "app.py:45:i == 500" # midpoint of 1000
→ dap eval "is_valid(result)" # True → bug is after 500
→ dap break add "app.py:45:i == 750" # update the condition
→ dap restart # restart preserving new breakpoint
```
~10 iterations to find the bug in 1000. Not 1000 step commands.