chore(profiling): delete set_max_nframes and its references

[alyshawang]

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:

ddtrace/internal/datadog/profiling/dd_wrapper/include/ddup_interface.hpp  @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/include/sample_manager.hpp  @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/ddup_interface.cpp    @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/src/sample_manager.cpp    @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/test/test_api.cpp         @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/test/test_forking.cpp     @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/test/test_initialization.cpp  @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/test/test_threading.cpp   @DataDog/profiling-python
ddtrace/internal/datadog/profiling/dd_wrapper/test/test_utils.hpp       @DataDog/profiling-python
ddtrace/internal/datadog/profiling/ddup/_ddup.pyi                       @DataDog/profiling-python
ddtrace/internal/datadog/profiling/ddup/_ddup.pyx                       @DataDog/profiling-python
ddtrace/profiling/profiler.py                                           @DataDog/profiling-python

[github-actions]

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 284 ± 6 ms.

The average import time from base is: 284 ± 5 ms.

The import time difference between this PR and base is: 0.2 ± 0.2 ms.

The difference is not statistically significant (z = 0.61).

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 1.859 ms (0.65%)

ddtrace.bootstrap.sitecustomize 1.184 ms (0.42%)

ddtrace.bootstrap.preload 1.184 ms (0.42%)

ddtrace.internal.remoteconfig.client 0.596 ms (0.21%)

ddtrace 0.675 ms (0.24%)

ddtrace.internal._unpatched 0.028 ms (0.01%)

json 0.028 ms (0.01%)

json.decoder 0.028 ms (0.01%)

re 0.028 ms (0.01%)

enum 0.028 ms (0.01%)

types 0.028 ms (0.01%)

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-06-12 18:42:08

Comparing candidate commit 5bdfccf in PR branch alysha.wang/max_stack_frames with baseline commit 1b249e1 in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 563 metrics, 6 unstable metrics.

scenario:iastaspects-format_map_aspect

• 🟥 execution_time [+425.774ns; +507.000ns] or [+13.274%; +15.806%]