chore(profiling, crashtracking): upgrade libdatadog to v16.0.2

[taegyunkim]

Checklist

• PR author has checked that all the criteria below are met
• The PR description includes an overview of the change
• The PR description articulates the motivation for the change
• The change includes tests OR the PR description describes a testing strategy
• The PR description notes risks associated with the change, if any
• Newly-added code is easy to change
• The change follows the library release note guidelines
• The change includes or references documentation updates if necessary
• Backport labels are set (if applicable)

Reviewer Checklist

• Reviewer has checked that all the criteria below are met
• Title is accurate
• All changes are related to the pull request's stated goal
• Avoids breaking API changes
• Testing strategy adequately addresses listed risks
• Newly-added code is easy to change
• Release note makes sense to a user of the library
• If necessary, author has acknowledged and discussed the performance implications of this PR as reported in the benchmarks PR comment
• Backport labels are set in a manner that is consistent with the release branch maintenance policy

[github-actions]

CODEOWNERS have been resolved as:

releasenotes/notes/libdd-16.0.2-bc8a1a77c8055974.yaml                   @DataDog/apm-python
ddtrace/internal/datadog/profiling/cmake/FindLibdatadog.cmake           @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/sample.cpp            @DataDog/profiling-python

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-02-10 17:25:54

Comparing candidate commit b439902 in PR branch taegyunkim/upgrade-libdd with baseline commit a604d93 in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 393 metrics, 2 unstable metrics.

scenario:iast_aspects-ospathsplitext_aspect

• 🟩 execution_time [-487.428ns; -434.499ns] or [-12.019%; -10.714%]