public boolean remove(@Nullable Object o) {
      if (o instanceof Entry) {
        Entry<?, ?> entry = (Entry<?, ?>) o;
        if (unfiltered.containsKey(entry.getKey())
            // if this holds, then we know entry.getKey() is a K
            && keyPredicate.apply((K) entry.getKey())) {
          return unfiltered.remove(entry.getKey(), entry.getValue());
        }
      }
      return false;
    }
  }

   * "best effort" approach is taken; if {@code str} does not conform to the assumed format, then
   * the behavior of this method is undefined but we make a reasonable effort at converting anyway.
   */
  public final String to(CaseFormat format, String str) {
    checkNotNull(format);
    checkNotNull(str);
    return (format == this) ? str : convert(format, str);

 *   <li>{@link AbstractSequentialIterator}
 *   <li>{@link UnmodifiableIterator}
 *   <li>{@link UnmodifiableListIterator}
 * </ul>
 *
 * <h2>Forwarding collections</h2>
 *
 * We provide implementations of collections that forward all method calls to a delegate collection
 * by default. Subclasses can override one or more methods to implement the decorator pattern. For

					continue
				}

				cfgEntry.Data = string(data)
			}
			configHistory = append(configHistory, cfgEntry)
			count--
			if count == 0 {
				break
			}
		}
		if !res.IsTruncated {
			// We are done here
			break
		}
		marker = res.NextMarker
	}
	sort.Slice(configHistory, func(i, j int) bool {
		return configHistory[i].CreateTime.Before(configHistory[j].CreateTime)
	})
	return configHistory, nil
}

if [[ "$TFCI_WHL_AUDIT_ENABLE" == "1" ]]; then
  python3 -m auditwheel repair --plat "$TFCI_WHL_AUDIT_PLAT" --wheel-dir . *.whl
  # if the wheel is already named correctly, auditwheel won't rename it. so we
  # list all .whl files by their modification time (ls -t) and delete anything
  # other than the most recently-modified one (the new one).
  ls -t *.whl | tail -n +2 | xargs rm
fi

#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.
// DataType value of DT_INVALID signifies that we don't want to
// check the data type.
typedef std::pair<string, DataType> IOSpec;

const char* kFeedStackToString = "File \"feed.cc\", line 10, in alpha";
const char* kNegStackToString = "File \"neg.cc\", line 15, in beta";

							t.Errorf("Case: %d %#v, expected: %s, got: %s", i+1, testCase, testCase.expectedErr, err)
						}
					}
				}
				// Err unexpected EOF special case, where we verify we have provided a larger
				// buffer than the data itself, but the results are in-fact valid. So we validate
				// this error condition specifically treating it as a good condition with valid
				// results. In this scenario return 'n' is always lesser than the input buffer.

            public CacheStats snapshot() {
              return EMPTY_STATS;
            }
          });
  static final CacheStats EMPTY_STATS = new CacheStats(0, 0, 0, 0, 0, 0);

  /*
   * We avoid using a method reference or lambda here for now:
   *
   * - method reference: Inside Google, CacheBuilder is used from the implementation of a custom

      NumberFormatException decodeException =
          new NumberFormatException("Error parsing value: " + stringValue);
      decodeException.initCause(e);
      throw decodeException;
    }
  }

  /*
   * We move the static constants into this class so ProGuard can inline UnsignedLongs entirely
   * unless the user is actually calling a parse method.
   */
  private static final class ParseOverflowDetection {

TLS (HTTPS) uses the specific port `443` by default. So that's the port we would need.

As only one process can be listening on this port, the process that would do it would be the **TLS Termination Proxy**.