chore(deps): Update lintrunner-adapters requirement from >=0.14.0 to >=0.14.1 in /requirements/lintrunner

[dependabot]

Updates the requirements on lintrunner-adapters to permit the latest version.

Release notes

Sourced from lintrunner-adapters's releases.

v0.14.1

What's Changed

• feat(linter): Adapter for banned c/c++ functions by @​tom-arm in justinchuby/lintrunner-adapters#139

New Contributors

• @​tom-arm made their first contribution in justinchuby/lintrunner-adapters#139

Full Changelog: justinchuby/lintrunner-adapters@v0.14.0...v0.14.1

Commits

• 33dec14 chore(deps): bump actions/checkout from 6 to 7 (#140)
• 66124b2 Bump version to 0.14.1
• fc398f9 chore(deps): bump pypa/gh-action-pypi-publish from 1.13.0 to 1.14.0 (#136)
• d8c9521 chore(deps): bump actions/download-artifact from 7 to 8 (#133)
• 55b573f chore(deps): bump actions/upload-artifact from 6 to 7 (#134)
• 26c001e feat(linter): Adapter for banned c/c++ functions (#139)
• See full diff in compare view

[github-actions]

Performance Comparison

Comparing 413d222 → 496b3d8

Model	Metric	Baseline	Current	Delta
bert (feature-extraction)	model_size_bytes	359 KB	359 KB	+0.0%	⚪
bert (feature-extraction)	num_nodes	60	60	+0.0%	⚪
falcon	model_size_bytes	364 KB	364 KB	+0.0%	⚪
falcon	num_nodes	68	68	+0.0%	⚪
gemma2	model_size_bytes	428 KB	428 KB	+0.0%	⚪
gemma2	num_nodes	107	107	+0.0%	⚪
gpt2	model_size_bytes	388 KB	388 KB	+0.0%	⚪
gpt2	num_nodes	54	54	+0.0%	⚪
llama	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama	num_nodes	62	62	+0.0%	⚪
llama (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama (static-cache)	num_nodes	58	58	+0.0%	⚪
mamba (ssm-text-generation)	model_size_bytes	296 KB	296 KB	+0.0%	⚪
mamba (ssm-text-generation)	num_nodes	98	98	+0.0%	⚪
phi3	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3	num_nodes	60	60	+0.0%	⚪
phi3 (static-cache)	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3 (static-cache)	num_nodes	56	56	+0.0%	⚪
qwen2	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2	num_nodes	62	62	+0.0%	⚪
qwen2 (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2 (static-cache)	num_nodes	58	58	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	model_size_bytes	506 KB	506 KB	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	num_nodes	275	275	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	model_size_bytes	458 KB	458 KB	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	num_nodes	129	129	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	model_size_bytes	977 KB	977 KB	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	num_nodes	413	413	+0.0%	⚪
t5 (seq2seq)	model_size_bytes	836 KB	836 KB	+0.0%	⚪
t5 (seq2seq)	num_nodes	166	166	+0.0%	⚪
whisper (speech-to-text)	model_size_bytes	1008 KB	1008 KB	+0.0%	⚪
whisper (speech-to-text)	num_nodes	128	128	+0.0%	⚪

No performance regressions.

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