or sublicense it under different terms, provided that the license for
        the Executable Form does not attempt to limit or alter the recipients’
        rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

     You may create and distribute a Larger Work under terms of Your choice,
     provided that You also comply with the requirements of this License for the

        License, or sublicense it under different terms, provided that the
        license for the Executable Form does not attempt to limit or alter the
        recipients' rights in the Source Code Form under this License.

3.3. Distribution of a Larger Work

     You may create and distribute a Larger Work under terms of Your choice,
     provided that You also comply with the requirements of this License for

   * failed future if any of the items fails.
   *
   * <p>Canceling this future will attempt to cancel all the component futures, and if any of the
   * provided futures fails or is canceled, this one is, too.
   *
   * @param futures futures to combine
   * @return a future that provides a list of the results of the component futures
   * @since 10.0
   */
  @SafeVarargs

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)

      <version>1.0</version>
      <scope>compile</scope>
    </dependency>

    <dependency>
      <groupId>maven-test</groupId>
      <artifactId>scope-provided</artifactId>
      <version>1.0</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>maven-inherited</groupId>
      <artifactId>scope-default</artifactId>
      <version>1.0</version>
    </dependency>

            ),
        ] = "3.1.0"
        self.openapi_schema: Optional[Dict[str, Any]] = None
        if self.openapi_url:
            assert self.title, "A title must be provided for OpenAPI, e.g.: 'My API'"
            assert self.version, "A version must be provided for OpenAPI, e.g.: '2.1.0'"
        # TODO: remove when discarding the openapi_prefix parameter
        if openapi_prefix:
            logger.warning(

 * whose edges are unique objects.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally
 * prefer the simplest interface that satisfies your use case. See the <a

        .cache(dnsCache)
        .build()
    dnsProviders =
      providers(
        client = bootstrapClient,
        http2Only = true,
        workingOnly = true,
        getOnly = true,
      )
    runBatch(dnsProviders, names)
    println("cached second run\n*****************\n")
    dnsProviders =
      providers(
        client = bootstrapClient,
        http2Only = true,
        workingOnly = true,

            // throwables or completion values.
            newFuture.setFuture(oldFuture);
          } else if (outputFuture.isCancelled() && taskExecutor.trySetCancelled()) {
            // If this CAS succeeds, we know that the provided callable will never be invoked,
            // so when oldFuture completes it is safe to allow the next submitted task to
            // proceed. Doing this immediately here lets the next task run without waiting for

any 6.out that imports the first two files.

The stanza

	// #include <gmp.h>
	import "C"

is a signal to cgo.  The doc comment on the import of "C" provides
additional context for the C file.  Here it is just a single #include
but it could contain arbitrary C definitions to be imported and used.

Cgo recognizes any use of a qualified identifier C.xxx and uses gcc to