*
 * <p>While it is recommended that service lifecycles be managed via this class, state transitions
 * initiated via other mechanisms do not impact the correctness of its methods. For example, if the
 * services are started by some mechanism besides {@link #startAsync}, the listeners will be invoked
 * when appropriate and {@link #awaitHealthy} will still work as expected.
 *

 *
 * <p>While it is recommended that service lifecycles be managed via this class, state transitions
 * initiated via other mechanisms do not impact the correctness of its methods. For example, if the
 * services are started by some mechanism besides {@link #startAsync}, the listeners will be invoked
 * when appropriate and {@link #awaitHealthy} will still work as expected.
 *

#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform
# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache
#      Ex. public_cache -- Use TF's public cache (read-only)
#      Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only)

So, you can use `user_agent` as you normally would in Python code, instead of needing to capitalize the first letters as `User_Agent` or something similar.

If for some reason you need to disable automatic conversion of underscores to hyphens, set the parameter `convert_underscores` of `Header` to `False`:

//// tab | Python 3.10+

```Python hl_lines="10"

build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,

 * under the License.
 */
package org.apache.maven.repository.metadata;

import java.util.List;

import org.apache.maven.artifact.repository.ArtifactRepository;

/**
 * Provides some metadata operations, like querying the remote repository for a list of versions available for an
 * artifact.
 *
 */
@Deprecated
public interface MetadataSource {
    String ROLE = MetadataSource.class.getName();

### Load Balancer

When using containers, you would normally have some component **listening on the main port**. It could possibly be another container that is also a **TLS Termination Proxy** to handle **HTTPS** or some similar tool.

import junit.framework.TestCase;

/**
 * {@link LoadingCache} tests that deal with caches that actually contain some key-value mappings.
 *
 * @author mike nonemacher
 */

public class PopulatedCachesTest extends TestCase {
  // we use integers as keys; make sure the range covers some values that ARE cached by
  // Integer.valueOf(int), and some that are not cached. (127 is the highest cached value.)
  static final int WARMUP_MIN = 120;

            )
        }
    }

    @Test
    fun `should fail if some method was upgraded but it was not actually changed`() {
        checkBinaryCompatibleFailsWithoutReport(
            v1 = {
                withFile(
                    "java/com/example/Task.java",

@app.post("/invoices/", callbacks=invoices_callback_router.routes)
def create_invoice(invoice: Invoice, callback_url: Union[HttpUrl, None] = None):
    """
    Create an invoice.

    This will (let's imagine) let the API user (some external developer) create an
    invoice.

    And this path operation will:

    * Send the invoice to the client.
    * Collect the money from the client.