* to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

import org.xml.sax.SAXException;

import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.yaml.YAMLMapper;
import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;

public class PluginHelper {
    private static final Logger logger = LogManager.getLogger(PluginHelper.class);

import org.lastaflute.web.response.ActionResponse;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.util.LaRequestUtil;

import com.google.common.cache.Cache;
import com.google.common.cache.CacheBuilder;
import com.microsoft.aad.adal4j.AuthenticationContext;
import com.microsoft.aad.adal4j.AuthenticationResult;
import com.microsoft.aad.adal4j.ClientCredential;

        errorPolicy |= request.isCacheNotFound()
                ? ResolutionErrorPolicy.CACHE_NOT_FOUND
                : ResolutionErrorPolicy.CACHE_DISABLED;
        errorPolicy |= request.isCacheTransferError()
                ? ResolutionErrorPolicy.CACHE_TRANSFER_ERROR
                : ResolutionErrorPolicy.CACHE_DISABLED;
        sessionBuilder.setResolutionErrorPolicy(

OkHttp 4.x Change Log
=====================

## Version 4.12.0

_2023-10-16_

 *  Fix: Don't hang taking headers for HTTP 103 responses.

 *  Fix: Recover gracefully when a cache entry's certificate is corrupted.

 *  Fix: Fail permanently when there's a failure loading the bundled public suffix database.
    This is the dataset that powers `HttpUrl.topPrivateDomain()`.

            List<? extends InterpolationPostProcessor> postProcessors,
            ModelBuilderRequest request,
            ModelProblemCollector problems) {
        Map<String, String> cache = new HashMap<>();
        StringSearchInterpolator interpolator = new StringSearchInterpolator();
        interpolator.setCacheAnswers(true);
        for (ValueSource vs : valueSources) {

 */
class Relay private constructor(
  /**
   * Read/write persistence of the upstream source and its metadata. Its layout is as follows:
   *
   *  * 16 bytes: either `OkHttp cache v1\n` if the persisted file is complete. This is another
   *    sequence of bytes if the file is incomplete and should not be used.
   *  * 8 bytes: *n*: upstream data size
   *  * 8 bytes: *m*: metadata size

   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

	return len(brs.Stats) == 0 && brs.ReplicaSize == 0
}

// Clone creates a new BucketReplicationStats copy
func (brs BucketReplicationStats) Clone() (c BucketReplicationStats) {
	// This is called only by replicationStats cache and already holds a
	// read lock before calling Clone()

	c = brs
	// We need to copy the map, so we do not reference the one in `brs`.
	c.Stats = make(map[string]*BucketReplicationStat, len(brs.Stats))

	Location           = "Location"
	CacheControl       = "Cache-Control"
	ContentDisposition = "Content-Disposition"
	Authorization      = "Authorization"
	Action             = "Action"
	Range              = "Range"
)

// Non standard S3 HTTP response constants
const (
	XCache       = "X-Cache"
	XCacheLookup = "X-Cache-Lookup"
)

// Standard S3 HTTP request constants
const (