```java
HttpLoggingInterceptor logging = new HttpLoggingInterceptor();
logging.setLevel(Level.BASIC);
OkHttpClient client = new OkHttpClient.Builder()
  .addInterceptor(logging)
  .build();
```

You can change the log level at any time by calling `setLevel()`.

To log to a custom location, pass a `Logger` instance to the constructor.
```java

  @Test fun get(server: MockWebServer) {
    server.enqueue(MockResponse(body = "hello, OkHttp"))

    val client = OkHttpClient()

    val request =
      Request.Builder()
        .url(server.url("/"))
        .header("Accept", "text/plain")
        .build()
    val response = client.newCall(request).execute()
    assertThat(response.code).isEqualTo(200)
    assertThat(response.body.string()).isEqualTo("hello, OkHttp")

public final class AsynchronousGet {
  private final OkHttpClient client = new OkHttpClient();

  public void run() throws Exception {
    Request request = new Request.Builder()
        .url("http://publicobject.com/helloworld.txt")
        .build();

    client.newCall(request).enqueue(new Callback() {
      @Override public void onFailure(Call call, IOException e) {
        e.printStackTrace();
      }

  private static final int MAX_BOUND = 1;

  static {
    ImmutableList.Builder<Range<Integer>> builder = ImmutableList.builder();

    builder.add(Range.<Integer>all());

    // Add one-ended ranges
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType type : BoundType.values()) {
        builder.add(Range.upTo(i, type));
        builder.add(Range.downTo(i, type));
      }
    }

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Simple helper class to build a "sparse" array of objects based on the indexes that were added to
 * it. The array will be from 0 to the maximum index given. All non-set indexes will contain null
 * (so it's not really a sparse array, just a pseudo sparse array). The builder can also return a
 * CharEscaper based on the generated array.
 *
 * @author Sven Mawson
 * @since 15.0

        }

        return e;
    }

    public MavenProject build(File pom, ProjectBuilderConfiguration configuration) throws ProjectBuildingException {
        ProjectBuildingRequest request = injectSession(toRequest(configuration));

        try {
            return projectBuilder.build(pom, request).getProject();
        } catch (ProjectBuildingException e) {
            throw transformError(e);

        this.threadPoolSize = threadPoolSize;
        return this;
    }

    public Suggester build(final Client client, final String id) {
        if (settings == null) {
            if (settingsBuilder == null) {
                settingsBuilder = SuggestSettings.builder();
            }
            settings = settingsBuilder.build(client, id);
        }
        settings.init();

        if (readingConverter == null) {

        try {
            runner.admin().indices().prepareDelete("_all").execute().actionGet();
        } catch (IndexNotFoundException ignore) {

        }
        runner.refresh();
        settings = Suggester.builder().build(runner.client(), id).settings();
    }

    @Test
    public void test_setAndGetAsArray() {
        String key = "key";
        String value1 = "a";
        String value2 = "b";
        String value3 = "c";

    boolean isParallel = false;
    int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
    long estimatedSize = 0L;
    ImmutableList.Builder<Spliterator<? extends T>> splitrsBuilder =
        new ImmutableList.Builder<>(streams.length);
    for (Stream<? extends T> stream : streams) {
      isParallel |= stream.isParallel();
      Spliterator<? extends T> splitr = stream.spliterator();

labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks