// trailing UTF-8-encoded code points contained in cutset.
func Trim(s []byte, cutset string) []byte {
	if len(s) == 0 {
		// This is what we've historically done.
		return nil
	}
	if cutset == "" {
		return s
	}
	if len(cutset) == 1 && cutset[0] < utf8.RuneSelf {
		return trimLeftByte(trimRightByte(s, cutset[0]), cutset[0])
	}
	if as, ok := makeASCIISet(cutset); ok {

        run: ./util/deploy_snapshot.sh

  generate_docs:
    permissions:
      contents: write
    name: 'Generate latest docs'
    needs: test
    if: github.event_name == 'push' && github.repository == 'google/guava'
    runs-on: ubuntu-latest
    steps:
      - name: 'Check out repository'
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      - name: 'Set up JDKs'

name: Publish

on:
  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    permissions:
      id-token: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5

typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a

nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0
nvidia-curand-cu12>=10.3.6.82,<11.0
nvidia-cusolver-cu12>=11.6.3.83,<12.0

typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a

name: "Conflict detector"
on:
  push:
  pull_request_target:
    types: [synchronize]

jobs:
  main:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Check if PRs have merge conflicts
        uses: eps1lon/actions-label-merge-conflict@v3
        with:
          dirtyLabel: "conflicts"
          repoToken: "${{ secrets.GITHUB_TOKEN }}"

    - cron: '45 9 * * 0'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    name: Scorecard analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write

		if versionID == "" {
			versionID = mustGetUUID()
			fi.IsLatest = true // we are creating a new version so this is latest.
		}
	}

	modTime = UTCNow() // We only preserve modTime if dstOpts.MTime is true.
	// in all other cases mtime is latest.

	fi.VersionID = versionID // set any new versionID we might have created
	fi.ModTime = modTime     // set modTime for the new versionID

### Internal

* 🔧 Configure strict pytest options and update/refactor tests. Upgrade pytest to `>=6.2.4,<7.0.0` and pytest-cov to `>=2.12.0,<3.0.0`. Initial PR [#2790](https://github.com/tiangolo/fastapi/pull/2790) by [@graingert](https://github.com/graingert).