# link to the Bazelisk binary which needs to be downloaded.
if [[ "${TFCI_MACOS_INSTALL_BAZELISK_ENABLE}" == 1 ]]; then
  sudo wget --no-verbose -O "/usr/local/bin/bazel" "${TFCI_MACOS_INSTALL_BAZELISK_URL}"
  chmod +x "/usr/local/bin/bazel"
fi

# "TFCI_MACOS_UPGRADE_PYENV_ENABLE" is used to decide if we need to upgrade the
# Pyenv version. We enable this for macOS x86 builds as the default Pyenv on

func (c *Connection) traceRequests(p *pubsub.PubSub[madmin.TraceInfo, madmin.TraceType]) {
	c.trace = &tracer{
		Publisher: p,
		TraceType: madmin.TraceInternal,
		Prefix:    "grid",
		Local:     c.Local,
		Remote:    c.Remote,
		Subroute:  "",
	}
}

// subroute adds a specific subroute to the request.
func (c *tracer) subroute(subroute string) *tracer {
	if c == nil {
		return nil
	}
	c2 := *c

    --@local_config_cuda//:enable_cuda \
    "somepath(//tensorflow/tools/pip_package:wheel, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cuda_driver + "\
    "@local_config_cuda//cuda:cudnn + "\
    "@local_config_cuda//cuda:curand + "\
    "@local_config_cuda//cuda:cusolver + "\

      envoyOtelAls:
        service: opentelemetry-collector.observability.svc.cluster.local
        port: 4317
    - name: skywalking
      skywalking:
        service: tracing.istio-system.svc.cluster.local
        port: 11800
    - name: otel-tracing
      opentelemetry:
        port: 4317
        service: opentelemetry-collector.observability.svc.cluster.local

global:
  proxy:
    resources:
      requests:
        cpu: 10m

	} else if addr1Local, err = isLocalHost(host1, port1, port1); err != nil {
		// Host not empty, check if it is local
		return false, err
	}

	if host2 == "" {
		// If empty host means it is localhost
		addr2Local = true
	} else if addr2Local, err = isLocalHost(host2, port2, port2); err != nil {
		// Host not empty, check if it is local
		return false, err
	}

	// If both of addresses point to the same machine, check if

    protected ArtifactRepository localRepository() throws Exception {
        String path = "target/test-repositories/" + component() + "/local-repository";

        File f = new File(getBasedir(), path);

        return artifactRepositoryFactory.createArtifactRepository(
                "local", "file://" + f.getPath(), repoLayout, null, null);
    }

    protected ArtifactRepository remoteRepository() throws Exception {

RUN wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://github.com/bazelbuild/buildtools/releases/download/4.2.5/buildozer-linux-arm64 -O /usr/local/bin/buildozer && chmod +x /usr/local/bin/buildozer

RUN groupadd -g 1001 buildslave && useradd -m -u 1001 -g buildslave buildslave
RUN mkdir -p /tf/venv

        assertEquals(4, problems.messages.size());
        assertContains(problems.messages.get(0), "'mirrors.mirror.id' must not be 'local'");
        assertContains(problems.messages.get(1), "'mirrors.mirror.url' for local is missing");
        assertContains(problems.messages.get(2), "'mirrors.mirror.mirrorOf' for local is missing");
        assertContains(problems.messages.get(3), "'mirrors.mirror.id' must not contain any of these characters");
    }

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

!!! note "Technical Details"

      envoyOtelAls:
        service: opentelemetry-collector.observability.svc.cluster.local
        port: 4317
    - name: skywalking
      skywalking:
        service: tracing.istio-system.svc.cluster.local
        port: 11800
    - name: otel-tracing
      opentelemetry:
        port: 4317
        service: opentelemetry-collector.observability.svc.cluster.local

global:
  proxy:
    resources:
      requests:
        cpu: 10m