communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 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...

>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

**If you want to contribute to TensorFlow, be sure to review the
[Contribution Guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
[Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to
uphold this code.**

    // the `keys` and `values` arrays do not need to change. But because the "short hash" now has a
    // different number of bits, we must rewrite each element of `entries` so that its contribution
    // to the full hashcode reflects the change, and so that its `next` link corresponds to the new
    // linked list of entries with the new short hash.

    // the `keys` and `values` arrays do not need to change. But because the "short hash" now has a
    // different number of bits, we must rewrite each element of `entries` so that its contribution
    // to the full hashcode reflects the change, and so that its `next` link corresponds to the new
    // linked list of entries with the new short hash.

# Development - Contributing

First, you might want to see the basic ways to [help FastAPI and get help](help-fastapi.md){.internal-link target=_blank}.

## Developing

If you already cloned the <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">fastapi repository</a> and you want to deep dive in the code, here are some guidelines to set up your environment.

### Virtual environment

				}
			}
		}
		if !objPresent {
			// we return errIgnoreFileContrib to signal this function's
			// callers to skip this object's contribution towards
			// usage.
			return sizeSummary{}, errIgnoreFileContrib
		}
		return sizeS, nil
	}, scanMode, weSleep)
	if err != nil {
		return dataUsageInfo, err
	}

          <name>roles</name>
          <version>3.0.0+</version>
          <description>
            The roles the contributor plays in the project. Each role is described by a
            {@code role} element, the body of which is a role name. This can also be used to
            describe the contribution.
          </description>
          <association>
            <type>String</type>

 * specific language governing permissions and limitations
 * under the License.
 * ====================================================================
 *
 * This software consists of voluntary contributions made by many
 * individuals on behalf of the Apache Software Foundation.  For more
 * information on the Apache Software Foundation, please see
 * <http://www.apache.org/>.
 */

package okhttp3.internal.http

- **Authentication**: NTLM, Kerberos, SPNEGO unified subsystem
- **Network Layer**: Transport abstraction, NetBIOS name resolution, session management

### Contributing

We welcome contributions! Please:
1. Fork the repository
2. Create a feature branch
3. Make your changes with appropriate tests
4. Run `mvn clean test` to ensure all tests pass
5. Submit a pull request

### License

    *   XLA:GPU reductions are deterministic by default (reductions within
        `jit_compile=True` are now deterministic).
    *   XLA:GPU works with Horovod (OSS contribution by Trent Lo from NVidia)
    *   XLA:CPU and XLA:GPU can compile tf.unique and tf.where when shapes are
        provably correct at compile time.
*   `tf.saved_model.save`: