-   `/bin`
-   `/usr/sbin`
-   `/sbin`

////

//// tab | Windows

```plaintext
C:\Program Files\Python312\Scripts;C:\Program Files\Python312;C:\Windows\System32
```

이는 시스템이 다음 디렉토리에서 프로그램을 찾아야 함을 의미합니다:

-   `C:\Program Files\Python312\Scripts`
-   `C:\Program Files\Python312`
-   `C:\Windows\System32`

////

# limitations under the License.
# ==============================================================================
# This script dumps some information about the environment. It's most useful
# for verifying changes to the TFCI scripts system, and most users won't need
# to interact with it at all.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

echo "==TFCI== env outside of tfrun:"
env
echo "==TFCI== env inside of tfrun:"

          pip install -r requirements-tests.txt
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
      - name: Run source distribution tests
        run: |
          cd dist/fastapi*/
          bash scripts/test.sh
      - name: Build wheel distribution
        run: |
          cd dist
          pip wheel --no-deps fastapi*.tar.gz
      - name: Dump GitHub context
        env:

* `/bin`
* `/usr/sbin`
* `/sbin`

////

//// tab | Windows

```plaintext
C:\Program Files\Python312\Scripts;C:\Program Files\Python312;C:\Windows\System32
```

Isso significa que o sistema deve procurar programas nos diretórios:

* `C:\Program Files\Python312\Scripts`
* `C:\Program Files\Python312`
* `C:\Windows\System32`

////

else
  # When using the Linux-like path, venv creation quietly fails, which is
  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then

> place.

Maintainer: TensorFlow DevInfra

********************************************************************************

The CI folder contains the configuration files and scripts used to build, test,
and deploy TensorFlow. This folder is typically used by continuous integration
(CI) tools to build and test TensorFlow whenever there is a change to the

# has an explicit default value, and (b) no script can accidentally use a
# variable that doesn't exist. Please keep this list in alphabetical order.
#
# Find usage in scripts with e.g.:
#   cd ci/official
#   ls *.sh utilities/*.sh | xargs grep -H --color=always TFCI_ARG_HERE
# You may also get an overview, e.g.:
#   cd ci/official

 */
package org.codelibs.fess.job;

/**
 * Abstract base class for job executors that handle script execution within the job system.
 * This class provides a framework for executing scripts and managing shutdown operations.
 */
public abstract class JobExecutor {
    /** Listener to handle shutdown events */
    protected ShutdownListener shutdownListener;

    /**
     * Default constructor.
     */

        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_PR_TOKEN }}
      - name: FastAPI People Contributors
        run: python ./scripts/contributors.py
        env:

        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
      - name: FastAPI People Sponsors
        run: python ./scripts/sponsors.py
        env:
          SPONSORS_TOKEN: ${{ secrets.SPONSORS_TOKEN }}