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  1. CONTRIBUTING.md

      1. Any significant changes should be accompanied by tests. The project already
         has good test coverage, so look at some existing tests if you're unsure
         how to go about it.
      2. All contributions must be licensed Apache 2.0 and all files must have a
         copy of the boilerplate license comment (can be copied from an existing
         file).
      3. Files should be formatted according to Google's [Java style guide][].
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  2. CONTRIBUTING.md

    Do not report security vulnerabilities to the public issue tracker. Follow our [Security Vulnerability Disclosure Policy](https://github.com/gradle/gradle/security/policy).
    
    ### Follow the Code of Conduct
    
    Contributors must follow the Code of Conduct outlined at [https://gradle.org/conduct/](https://gradle.org/conduct/).
    
    ### Additional help
    
    If you run into any trouble, please reach out to us on the issue you are working on.
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  3. CONTRIBUTING.md

    [many libraries][works_with_okhttp] that sit on top or hook in via existing APIs. If you build
    something that integrates with OkHttp, tell us so that we can link it!
    
    Before code can be accepted all contributors must complete our
    [Individual Contributor License Agreement (CLA)][cla].
    
    
    Code Contributions
    ------------------
    
    Get working code on a personal branch with tests passing before you submit a PR:
    
    ```
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  4. CONTRIBUTING.md

    The [Kubernetes community repo](https://github.com/kubernetes/community) contains information about how to get started, how the community organizes, and more.
    
    ## Sign the CLA
    
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  5. .github/CONTRIBUTING.md

    Before your code can be accepted into the project you must also sign the
    [Individual Contributor License Agreement (CLA)][1].
    
    
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  6. CONTRIBUTING.md

    ***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository.
    
    ### Contributing code
    
    If you have improvements to TensorFlow, send us your pull requests! For those
    just getting started, GitHub has a
    [how-to](https://help.github.com/articles/using-pull-requests/).
    
    TensorFlow team members will be assigned to review your pull requests. Once the
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