protected List<String> create(String[] elements) {
                    ImmutableList.Builder<String> builder = ImmutableList.builder();
                    for (int i = elements.length - 1; i >= 0; i--) {
                      builder.add(elements[i]);
                    }
                    return Lists.reverse(builder.build());
                  }
                })
            .named("Lists.reverse[ImmutableList]")

     * Gets the actual version string for a SNAPSHOT artifact by parsing the snapshot metadata.
     *
     * @param builder the document builder to use for parsing XML
     * @param pluginUrl the URL of the plugin
     * @param version the snapshot version
     * @return the actual version string with timestamp and build number, or null if not found
     * @throws SAXException if XML parsing fails
     * @throws IOException if I/O error occurs

}

void TF_DeleteAttrBuilder(TF_AttrBuilder* builder) { delete builder; }

void TF_AttrBuilderSetType(TF_AttrBuilder* builder, const char* attr_name,
                           TF_DataType value) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, static_cast<tensorflow::DataType>(value));
}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,

// The satisfied tags are derived from context but only those that
// matter (the ones listed in the tags argument plus GOOS and GOARCH) are used.
// The tags list, which came from go/build's Package.AllTags,
// is known to be sorted.
func tagKey(dir string, context *build.Context, tags []string) string {
	ctags := map[string]bool{
		context.GOOS:   true,
		context.GOARCH: true,
	}
	if context.CgoEnabled {
		ctags["cgo"] = true
	}

## Previous tools { #previous-tools }

### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a> { #django }

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.

          throw ProtocolException("Protocol $protocol unsupported")
        }
        val connection =
          Http2Connection
            .Builder(false, TaskRunner.INSTANCE)
            .socket(sslSocket.asBufferedSocket(), sslSocket.peerName())
            .listener(this)
            .build()
        connection.start()
      } catch (e: IOException) {
        logger.log(Level.INFO, "Http2Server connection failure: $e")

server behaviour when ambiguous.

# Basic Usage

```kotlin
  private val client: OkHttpClient = OkHttpClient.Builder()
      .cache(Cache(
          directory = File(application.cacheDir, "http_cache"),
          // $0.05 worth of phone storage in 2020
          maxSize = 50L * 1024L * 1024L // 50 MiB
      ))
      .build()
```

## EventListener events 

import org.apache.maven.api.annotations.Nonnull;

import static org.apache.maven.api.ExtensibleEnums.pathScope;

/**
 * Path scope.
 * A path scope is used to determine the kind of build or class path that will be built when resolving
 * dependencies using the {@link org.apache.maven.api.services.DependencyResolver} service.
 * <p>
 * This extensible enum has four defined values, {@link #MAIN_COMPILE}, {@link #MAIN_RUNTIME},

        assertEquals(RequestDataBuilder.newRequestData().url(url + "/").build(),
                htmlTransformer.getDuplicateUrl(RequestDataBuilder.newRequestData().url(url).build()));

        url = "http://hoge/";
        assertEquals(RequestDataBuilder.newRequestData().url("http://hoge").build(),
                htmlTransformer.getDuplicateUrl(RequestDataBuilder.newRequestData().url(url).build()));

    }

    public void test_normalizeUrl() {

    Random random = new Random(2211275185798966364L);
    ImmutableList.Builder<Double> largeDatasetBuilder = ImmutableList.builder();
    for (int i = 0; i < PSEUDORANDOM_DATASET_SIZE; i++) {
      largeDatasetBuilder.add(random.nextGaussian());
    }
    return largeDatasetBuilder.build();
  }

  private static double expectedLargeDatasetPercentile(int index) {