public List<Toolchain> getToolchains(Session session, String type, Map<String, String> requirements)
            throws ToolchainManagerException {
        MavenSession s = InternalMavenSession.from(session).getMavenSession();
        List<org.apache.maven.toolchain.Toolchain> toolchains =
                toolchainManagerPrivate.getToolchains(s, type, requirements);
        return new MappedList<>(toolchains, this::toToolchain);
    }

    /**
     * Let the toolchain decide if it matches requirements defined
     * in the toolchain plugin configuration.
     *
     * @param requirements key value pair, may not be {@code null}
     * @return {@code true} if the requirements match, otherwise {@code false}
     */
    boolean matchesRequirements(Map<String, String> requirements);

                  properties:
                    matchExpressions:
                      description: matchExpressions is a list of label selector requirements.
                        The requirements are ANDed.
                      items:
                        description: A label selector requirement is a selector that
                          contains values, a key, and an operator that relates the
                          key and values.

    }
    TesterRequirements requirements;
    try {
      requirements = FeatureUtil.getTesterRequirements(method);
    } catch (ConflictingRequirementsException e) {
      throw new RuntimeException(e);
    }
    if (!features.containsAll(requirements.getPresentFeatures())) {
      if (logger.isLoggable(FINER)) {
        Set<Feature<?>> missingFeatures = copyToSet(requirements.getPresentFeatures());

# ==============================================================================
#
# setup.python.sh: Install a specific Python version and packages for it.
# Usage: setup.python.sh <pyversion> <requirements.txt>
set -xe

source ~/.bashrc
VERSION=$1
REQUIREMENTS=$2

# Install Python packages for this container's version
if [[ ${VERSION} == "python3.13" ]]; then
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF

     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   

      </configuration>
      <requirements>
        <requirement>
          <role>org.codehaus.plexus.archiver.Archiver</role>
          <role-hint>jar</role-hint>
          <field-name>jarArchiver</field-name>
        </requirement>
      </requirements>
    </mojo>
    <mojo>
      <goal>war</goal>
      <threadSafe>true</threadSafe>
    </mojo>

    }

fun Requirements.requiresOs(os: Os) {
    contains("teamcity.agent.jvm.os.name", os.agentRequirement)
}

fun Requirements.requiresArch(os: Os, arch: Arch) {
    if (os == Os.MACOS) {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnMac)
    } else {
        contains("teamcity.agent.jvm.os.arch", arch.nameOnLinuxWindows)
    }
}

fun Requirements.requiresNotEc2Agent() {

# (2)
WORKDIR /code

# (3)
COPY ./requirements.txt /code/requirements.txt

# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (5)
COPY ./app /code/app

# (6)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

1. 공식 파이썬 베이스 이미지에서 시작합니다.

2. 현재 워킹 디렉터리를 `/code`로 설정합니다.

    여기에 `requirements.txt` 파일과 `app` 디렉터리를 위치시킬 것입니다.

During the development, I also contributed to <a href="https://www.starlette.io/" class="external-link" target="_blank">**Starlette**</a>, the other key requirement.

## Development

By the time I started creating **FastAPI** itself, most of the pieces were already in place, the design was defined, the requirements and tools were ready, and the knowledge about the standards and specifications was clear and fresh.

## Future