<table>
            <thead><tr><td>Name</td><td>inherited</td><td>added</td><td>overridden <overrides>general value</overrides></td></tr></thead>
            <tr><td>a</td><td>specific1</td><td>specific2</td><td>specific3</td></tr>
            <tr><td>b</td><td></td><td/><td/></tr>
        </table>
    </section>
    <section><title>Methods</title><table><thead><tr></tr></thead></table></section>
</section>
''')

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

	)

	ErrMissingEnvCredentialRootPassword = newErrFn(
		"Missing credential environment variable, \""+EnvRootPassword+"\"",
		"Environment variable \""+EnvRootPassword+"\" is missing",

### Custom Algorithms (SFTP)

Custom algorithms can be specified via command line parameters.
Algorithms are comma separated. 
Note that valid values does not in all cases represent default values.

`--sftp=pub-key-algos=...` specifies the supported client public key
authentication algorithms. Note that this doesn't include certificate types

On startup all remote servers must be specified. 
From that individual connections will be spawned to each remote server, 
or incoming requests will be hooked up to the appropriate connection.

To get a connection to a specific server, use `Manager.Connection(host)` to get a connection to the specified host.
From this connection individual requests can be made.

#
# Properties defined here can be overridden with specific settings,
# like in rpm/packaging.properties and deb/packaging.properties.

# Environment file
packaging.env.file=

# Default configuration directory and file to use in bin/plugin script

# Default values for min/max heap memory allocated to fess java process
packaging.fess.heap.min=256m
packaging.fess.heap.max=1g

# Specifies the maximum file descriptor number

	flag.StringVar(&targetBucket, "target-bucket", "", "Select a specific bucket")
	flag.StringVar(&targetPrefix, "target-prefix", "", "Select a prefix")

	flag.StringVar(&minimumObjectAge, "minimum-object-age", "0s", "Ignore objects younger than the specified age")
	flag.BoolVar(&debug, "debug", false, "Prints HTTP network calls to S3 endpoint")

- Is owned by a single team. A team may own multiple architecture modules.

The modules are arranged into several different "Gradle platforms".
A Gradle platform is a logical distribution that provides support for a specific kind of automation.
A typical platform builds on other platforms in order to add more capabilities, for example, to add support for a particular language.

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_

		config.XMLNS = xmlNS
	}
	return &config, nil
}

// ApplyOptions ask for specific features to be enabled,
// when bucketSSEConfig is empty.
type ApplyOptions struct {
	AutoEncrypt bool
}

// Apply applies the SSE bucket configuration on the given HTTP headers and
// sets the specified SSE headers.
//
// Apply does not overwrite any existing SSE headers. Further, it will