chore: update jinja2 latest version to 3.1.6

[github-actions]

Update jinja2 lockfiles and dependency package lockfiles.
This performs the following updates:

1. Some jinja2 lockfiles use jinja2 latest. This will update jinja2 and dependencies.
2. Some jinja2 lockfiles use a pinned (non-latest) version of jinja2, but require the latest version of another package. This will update all such packages.

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:

.riot/requirements/11868bf.txt                                          @DataDog/apm-python
.riot/requirements/11c2588.txt                                          @DataDog/apm-python
.riot/requirements/12c877d.txt                                          @DataDog/apm-python
.riot/requirements/167b853.txt                                          @DataDog/apm-python
.riot/requirements/1951a77.txt                                          @DataDog/apm-python
.riot/requirements/1b1913f.txt                                          @DataDog/apm-python
.riot/requirements/1d23fbc.txt                                          @DataDog/apm-python
.riot/requirements/1e87e36.txt                                          @DataDog/apm-python
.riot/requirements/1fa3005.txt                                          @DataDog/apm-python
.riot/requirements/2b4e2d5.txt                                          @DataDog/apm-python
.riot/requirements/45f9c27.txt                                          @DataDog/apm-python
.riot/requirements/8049cd3.txt                                          @DataDog/apm-python
.riot/requirements/9204343.txt                                          @DataDog/apm-python
.riot/requirements/e87b392.txt                                          @DataDog/apm-python
ddtrace/contrib/integration_registry/registry.yaml                      @DataDog/apm-core-python @DataDog/apm-idm-python
supported_versions_output.json                                          @DataDog/apm-core-python
supported_versions_table.csv                                            @DataDog/apm-core-python

[github-actions]

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 273 ± 3 ms.

The average import time from base is: 275 ± 6 ms.

The import time difference between this PR and base is: -2.3 ± 0.2 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.008 ms (0.74%)

ddtrace.bootstrap.sitecustomize 1.337 ms (0.49%)

ddtrace.bootstrap.preload 1.337 ms (0.49%)

ddtrace.internal.remoteconfig.client 0.638 ms (0.23%)

ddtrace 0.672 ms (0.25%)

ddtrace.internal._unpatched 0.031 ms (0.01%)

json 0.031 ms (0.01%)

json.decoder 0.031 ms (0.01%)

re 0.031 ms (0.01%)

enum 0.031 ms (0.01%)

types 0.031 ms (0.01%)

[pr-commenter]

Benchmarks

Benchmark execution time: 2025-06-16 17:57:10

Comparing candidate commit 33350ab in PR branch upgrade-latest-jinja2-version with baseline commit 98e661a in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 501 metrics, 3 unstable metrics.