.Values.configPathmc }}certs {{ end }} resources: {{ toYaml .Values.makeUserJob.resources | indent 10 }} {{- end }} minio/templates/post-install-custom-command.yaml {{- if .Values.customCommands }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-custom-command-job namespace: {{ .Release.Namespace | quote }} labels: app: {{ template "minio.name" . }}-custom-command-job chart: {{ template "minio.chart" . }} release: {{ .Release.Name }} heritage: {{ .Release.Service }} annotations: "helm.sh/hook":...

    TF_Status status;
    // Let this custom device choose the device to pin this op on if it
    // implements the pinning function.
    if (device_.shall_pin_to_this_device != nullptr) {
      return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status);
    }
    return errors::Unimplemented("No custom device pinning implementation.");
  }

 private:
  TFE_Context* context_;

It might also help avoid confusion for new developers that see an unused parameter in your code and could think it's unnecessary.

///

/// info

In this example we use invented custom headers `X-Key` and `X-Token`.

But in real cases, when implementing security, you would get more benefits from using the integrated [Security utilities (the next chapter)](../security/index.md).

///

        scriptEngineFactory.add("custom", customEngine);

        // Verify all engines are accessible by their registered names
        assertEquals(engine1, scriptEngineFactory.getScriptEngine("engine1"));
        assertEquals(engine2, scriptEngineFactory.getScriptEngine("engine2"));
        assertEquals(customEngine, scriptEngineFactory.getScriptEngine("custom"));

@app.get("/items/stream-mixed", response_class=EventSourceResponse)
async def sse_items_mixed() -> AsyncIterable[Item]:
    yield items[0]
    yield ServerSentEvent(data="custom-event", event="special")
    yield items[1]


@app.get("/items/stream-string", response_class=EventSourceResponse)
async def sse_items_string():
    yield ServerSentEvent(data="plain text data")

 * <li><dfn>Private Remote Repository</dfn>: Organizations often maintain their own private remote repositories, which may host proprietary or custom-built artifacts that are not available in the central repository. These repositories can be managed using tools like Apache Archiva, Sonatype Nexus, or JFrog Artifactory.</li>

import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.util.logging.Logger;

import org.apache.commons.io.output.DeferredFileOutputStream;

/**
 * ContentOutputStream is a custom output stream that extends DeferredFileOutputStream.
 * It writes data to a temporary file once the data size exceeds a specified threshold.
 *
 * <p>This class ensures that the temporary file is deleted if it is not needed.

-   type: input id: tfversion attributes: label: Tensorflow Version description:
    placeholder: ex,. tf 2.8 validations: required: true

-   type: dropdown id: Code attributes: label: Custom Code description:
    options: - "Yes" - "No" validations: required: true

-   type: input id: OS attributes: label: OS Platform and Distribution
    description: placeholder: e.g., Linux Ubuntu 16.04 validations: required:

        this.isShowing = false;
        this.leftCalendar = {};
        this.rightCalendar = {};

        //custom options from user
        if (typeof options !== 'object' || options === null)
            options = {};

        //allow setting options with data attributes
        //data-api options will be overwritten with custom javascript options
        options = $.extend(this.element.data(), options);

    private static final Logger log = LoggerFactory.getLogger(SingletonContext.class);
    private static SingletonContext INSTANCE;

    /**
     * Initialize singleton context using custom properties
     *
     * This method can only be called once.
     *
     * @param props the properties to use for initialization