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      copyright license to reproduce, prepare Derivative Works of,
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      Work and such Derivative Works in Source or Object form.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

Recipient a non-exclusive, worldwide, royalty-free copyright license to reproduce,
prepare derivative works of, publicly display, publicly perform, distribute
and sublicense the Contribution of such Contributor, if any, and such derivative
works, in source code and object code form.

b) Subject to the terms of this Agreement, each Contributor hereby grants
Recipient a non-exclusive, worldwide, royalty-free patent license under Licensed

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      this License, each Contributor hereby grants to You a perpetual,
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*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in
    [tensorflow/core](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core)
    and
    [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python).
    TensorFlow has passed version 1.0 and hence cannot make
    non-backward-compatible API changes without a major release. Reviewers of

    !!! tip
        Prefer to use the `Annotated` version if possible.

    ```Python hl_lines="128-134"
    {!> ../../../docs_src/security/tutorial005.py!}
    ```

## Dependency tree and scopes

Let's review again this dependency tree and the scopes.

    Otherwise, TeamCity complains "Can't find the previous revision, please commit current settings first".
  - If anything bad happens, feel free to delete the project you created and retry (you may need to apply `Synchronization disabled` before deleting it).  
    
If no errors, your new pipeline will be displayed on TeamCity web UI:

```
Gradle
|------ Master

  // validity duration so a client must check the delta between the notBefore and
  // and notAfter fields in the issued certificate to determine the actual duration.
  //
  // The v1.22+ in-tree implementations of the well-known Kubernetes signers will
  // honor this field as long as the requested duration is not greater than the
  // maximum duration they will honor per the --cluster-signing-duration CLI