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  1. docs/batch-jobs/README.md

    # MinIO Batch Job
    MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO
    
    - Replicate objects between buckets on multiple sites
    
    Upcoming Jobs
    
    - Copy objects from NAS to MinIO
    - Copy objects from HDFS to MinIO
    
    ## Replication Job
    To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes
    
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  2. ci/devinfra/README.md

    [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)
    
    ********************************************************************************
    
    A directory for build and CI related scripts and jobs managed by the TensorFlow
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  3. docs/integrations/veeam/README.md

    ### Create a backup job
    
    #### Backup Virtual Machines with Veeam Backup and Replication
    
    - Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.
    
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  4. docs/bucket/replication/README.md

            <Status>Enabled</Status>
            <ExcludeFolders>true</ExcludeFolders>
    
            <ExcludedPrefixes>
              <Prefix>app1-jobs/*/_temporary/</Prefix>
            </ExcludedPrefixes>
            <ExcludedPrefixes>
              <Prefix>app2-jobs/*/_magic/</Prefix>
            </ExcludedPrefixes>
    
            <!-- .. up to 10 prefixes in all -->
    </VersioningConfiguration>
    ```
    
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  5. docs/bigdata/README.md

        examples/jars/spark-examples*.jar 10
    ```
    
    The job should produce an output as shown below. Note the value of pi in the output.
    
    ```
    17/03/22 23:21:10 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 1.302805 s
    Pi is roughly 3.1445191445191445
    ```
    
    Job status can also be viewed in a browser by navigating to the YARN ResourceManager Web UI and clicking on job history server information.
    
    ### **4.2 WordCount**
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  6. ci/official/wheel_test/README.md

    a Bazel command.
    5. Moves the updated `requirements_lock_<python_version>.txt` file
    to the `../wheel_test/` directory.
    
    
    ### How it Works in the Presubmit Job
    
    `_requirements_lock` files will be generated by the presubmit job. A detailed
    description will be provided once it's integrated into presubmit.
    
    ### test_import_api_packages
    
    This Python test verifies whether the API v2 packages can be imported from the
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  7. okhttp-tls/README.md

        .build();
    MockWebServer server = new MockWebServer();
    server.useHttps(serverCertificates.sslSocketFactory(), false);
    ```
    
    `HandshakeCertificates` also works for clients where its job is to define which root certificates
    to trust. In this simplified example we trust the server's self-signed certificate:
    
    ```java
    HandshakeCertificates clientCertificates = new HandshakeCertificates.Builder()
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  8. README.md

    [build]: https://ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master/
    [test-results]: https://ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master/lastCompletedBuild/testReport/
    [build-status]: https://img.shields.io/jenkins/s/https/ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master.svg?
    [build-tests]: https://img.shields.io/jenkins/t/https/ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master.svg?
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  9. ci/official/README.md

    TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
    system, Kokoro, schedules our CI jobs by combining a build script with a file
    from the `envs` directory that is filled with configuration options:
    
    -   Nightly jobs (Run nightly on the `nightly` branch)
        -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
    -   Continuous jobs (Run on every GitHub commit)
        -   Uses `pycpp.sh`
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  10. docs/bucket/versioning/README.md

    Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.
    
    ### Solution
    
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