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  1. architecture/README.md

    For example, each process has different supported JVMs and a different set of services available for dependency injection.
    While a lot of Gradle source code runs only in the Gradle daemon, not all of it does and so, when working on some source code it is important to be aware of the runtimes in which it will run.
    
    See [Gradle runtimes](runtimes.md) for a list of these runtimes and more details.
    
    ## Build state model
    
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  2. docs/bucket/lifecycle/README.md

    ```
    
    ### 4.1 Monitoring transition events
    
    `s3:ObjectTransition:Complete` and `s3:ObjectTransition:Failed` events can be used to monitor transition events between the source cluster and transition tier. To watch lifecycle events, you can enable bucket notification on the source bucket with `mc event add`  and specify `--event ilm` flag.
    
    Note that transition event notification is a MinIO extension.
    
    ## Explore Further
    
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  3. docs/extensions/fan-out/README.md

    media content.
    
    MinIO implements an S3 extension to the [PostUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html) where in a special fan-out list is sent along with the TSB's for MinIO make multiple uploads from a single source stream. Optionally supports custom metadata, tags and other retention settings. All objects are also readable independently once upload is completed via the regular S3 [GetObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObject.html)...
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  4. README.md

    supports both synchronous blocking calls and async calls with callbacks.
    
    
    Get a URL
    ---------
    
    This program downloads a URL and prints its contents as a string. [Full source][get_example].
    
    ```java
    OkHttpClient client = new OkHttpClient();
    
    String run(String url) throws IOException {
      Request request = new Request.Builder()
          .url(url)
          .build();
    
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  5. README.md

    Questions related to the usage of Maven should be posted on
    the [Maven User List][users-list].
    
    
    Where can I get the latest release?
    -----------------------------------
    You can download the release source from our [download page][maven-download].
    
    Contributing
    ------------
    
    If you are interested in the development of Maven, please consult the
    documentation first and afterward you are welcome to join the developers
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  6. README.md

        <img src="https://github.com/istio/istio/raw/master/logo/istio-bluelogo-whitebackground-unframed.svg"
             alt="Istio logo" title="Istio" height="100" width="100" />
    </a>
    
    ---
    
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  7. docs/bucket/notifications/README.md

        "total" : 1,
        "max_score" : 1.0,
        "hits" : [
          {
            "_index" : "minio_events",
            "_type" : "event",
            "_id" : "images/myphoto.jpg",
            "_score" : 1.0,
            "_source" : {
              "Records" : [
                {
                  "eventVersion" : "2.0",
                  "eventSource" : "minio:s3",
                  "awsRegion" : "",
                  "eventTime" : "2017-03-30T08:00:41Z",
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  8. README.md

    ## Install from Source
    
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  9. README.md

    Guava comes in two flavors:
    
    *   The JRE flavor requires JDK 1.8 or higher.
    *   If you need support for Android, use
        [the Android flavor](https://github.com/google/guava/wiki/Android). You can
        find the Android Guava source in the [`android` directory].
    
    [`android` directory]: https://github.com/google/guava/tree/master/android
    
    ## Adding Guava to your build
    
    Guava's Maven group ID is `com.google.guava`, and its artifact ID is `guava`.
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  10. README.md

    [pip package](https://www.tensorflow.org/install/pip), to
    [enable GPU support](https://www.tensorflow.org/install/gpu), use a
    [Docker container](https://www.tensorflow.org/install/docker), and
    [build from source](https://www.tensorflow.org/install/source).
    
    To install the current release, which includes support for
    [CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
    Windows)*:
    
    ```
    $ pip install tensorflow
    ```
    
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