fix: prevent silent RecurringTask death and swallowed timeouts in AutoscaledPool

[vdusek]

Problem

• RecurringTask dies silently. RecurringTask ran its function bare in the loop, so the first exception permanently killed the underlying asyncio task. Nothing awaited the task until stop() (which suppresses exceptions), so state persistence, autoscaling snapshots, statistics logging, and browser cleanup could die silently mid-run.
• AutoscaledPool swallows timeouts. AutoscaledPool._worker_task caught every asyncio.TimeoutError and logged "Task timed out after not set seconds". Since _TASK_TIMEOUT is never set, wait_for(timeout=None) can't time out itself, so the only timeouts it ever caught were real errors escaping the task function (e.g. session fetch or mark-as-handled timeouts). Swallowing them left the request stuck in progress and run() hung forever.

Changes

• RecurringTask. The wrapper now logs the exception and keeps the recurrence going.
• AutoscaledPool. The pool now re-raises when no task timeout is configured, so such errors propagate and stop the pool, matching how all other exceptions already behave.

Tests

Both fixes are covered by regression tests that failed before the change.

[codecov]

Codecov Report

❌ Patch coverage is 88.88889% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 93.36%. Comparing base (7780e78) to head (f527258).
⚠️ Report is 2 commits behind head on master.

Files with missing lines	Patch %	Lines
src/crawlee/_autoscaling/autoscaled_pool.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2009      +/-   ##
==========================================
+ Coverage   93.35%   93.36%   +0.01%     
==========================================
  Files         179      179              
  Lines       12482    12486       +4     
==========================================
+ Hits        11652    11658       +6     
+ Misses        830      828       -2     

Flag	Coverage Δ
unit	93.36% <88.88%> (+0.01%)	⬆️

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