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import javax.naming.directory.InitialDirContext;
import javax.naming.directory.ModificationItem;
import javax.naming.directory.SearchControls;
import javax.naming.directory.SearchResult;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.timer.TimeoutManager;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.FessUser;

build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.
build:monolithic --define framework_shared_object=false

			return nil, fmt.Errorf("parity validation returned an error: %w <- (%d, %d), for pool(%s)", err, commonParityDrives, ep.DrivesPerSet, humanize.Ordinal(i+1))
		}

		bootstrapTrace("waitForFormatErasure: loading disks", func() {
			storageDisks[i], formats[i], err = waitForFormatErasure(local, ep.Endpoints, i+1,
				ep.SetCount, ep.DrivesPerSet, deploymentID)
		})
		if err != nil {
			return nil, err
		}

        shape_handle, static_cast<DataType>(types[i]));
  }

  ic->set_output_handle_shapes_and_types(output.index, shape_and_type_vec);
}

// Helpers for loading a TensorFlow plugin (a .so file).
absl::Status LoadDynamicLibrary(const char* library_filename, void** result,
                                const void** buf, size_t* len);

        if (!DefaultModelValidator.VALID_MODEL_VERSIONS.contains(superModelVersion)) {
            // Maven 3.x is always using 4.0.0 version to load the supermodel, so
            // do the same when loading a dependency.  The model validator will also
            // check that field later.
            superModelVersion = MODEL_VERSION_4_0_0;
        }

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//
// Pass "library_filename" to a platform-specific mechanism for dynamically
// loading a library. The rules for determining the exact location of the
// library are platform-specific and are not documented here.
//
// On success, place OK in status and return the newly created library handle.

* Add a check for file size if the reading content returns empty ([#33976](https://github.com/kubernetes/kubernetes/pull/33976), [@jingxu97](https://github.com/jingxu97))
* Add a retry when reading a file content from a container ([#35560](https://github.com/kubernetes/kubernetes/pull/35560), [@jingxu97](https://github.com/jingxu97))

  // reports this record in Assigned. Assigned only updates in the status after
  // the record has been checkpointed to disk. When the Kubelet is restarted,
  // it tries to make the Assigned config the Active config by loading and
  // validating the checkpointed payload identified by Assigned.
  // +optional
  optional NodeConfigSource assigned = 1;

  // Active reports the checkpointed config the node is actively using.

handlers = java.util.logging.ConsoleHandler