totalFree += disk.AvailableSpace

		diskStats[disk.PoolIndex].AvailableSpace += disk.AvailableSpace
		diskStats[disk.PoolIndex].TotalSpace += disk.TotalSpace
	}
	r.PercentFreeGoal = float64(totalFree) / float64(totalCap)

	now := time.Now()
	for idx := range z.serverPools {
		r.PoolStats[idx] = &rebalanceStats{
			Buckets:           make([]string, len(buckets)),

		if users2[idx].Manager == nil {
			t.Fatalf("Failed to load Manager")
		}
		// manager
		CheckUser(t, *user.Manager, *users2[idx].Manager)
		// user pet
		if users2[idx].NamedPet == nil {
			t.Fatalf("Failed to load NamedPet")
		}
		CheckPet(t, *user.NamedPet, *users2[idx].NamedPet)
		// manager pet
		if users2[idx].Manager.NamedPet == nil {
			t.Fatalf("Failed to load NamedPet")
		}

#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

load("@python//:defs.bzl", "compile_pip_requirements")
load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",

  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1
      - data1-2:/data2

  minio2:

			if !proxytgts.Empty() {
				globalReplicationStats.Load().incProxy(bucket, getObjectAPI, false)
				// proxy to replication target if active-active replication is in place.
				reader, proxy, perr = proxyGetToReplicationTarget(ctx, bucket, object, rs, r.Header, opts, proxytgts)
				if perr != nil {
					globalReplicationStats.Load().incProxy(bucket, getObjectAPI, true)

                    return defaultValue;
                }

                return convertObj(paramValue, clazz);
            } catch (final Exception e) {
                logger.warn("Could not load init parameters: " + key + " from " + initParamMap, e);
            }
        }
        return defaultValue;
    }

    /**
     * Converts an object to the specified class type.

	github.com/elastic/go-elasticsearch/v7 v7.17.10
	github.com/fatih/color v1.18.0
	github.com/felixge/fgprof v0.9.5
	github.com/fraugster/parquet-go v0.12.0
	github.com/go-ldap/ldap/v3 v3.4.11
	github.com/go-openapi/loads v0.22.0
	github.com/go-sql-driver/mysql v1.9.2
	github.com/gobwas/ws v1.4.0
	github.com/golang-jwt/jwt/v4 v4.5.2
	github.com/gomodule/redigo v1.9.2
	github.com/google/uuid v1.6.0

	case size >= fi.Erasure.BlockSize || size == -1:
		if int64(globalBytePoolCap.Load().Width()) < fi.Erasure.BlockSize {
			buffer = make([]byte, fi.Erasure.BlockSize, 2*fi.Erasure.BlockSize)
		} else {
			buffer = globalBytePoolCap.Load().Get()
			defer globalBytePoolCap.Load().Put(buffer)
		}
	case size < fi.Erasure.BlockSize:

		ID string `json:"id"`
	}{ID: id})
	if err != nil {
		writeErrorResponseJSON(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	writeSuccessResponseJSON(w, b)
	// Notify peers to load rebalance.bin and start rebalance routine if they happen to be
	// participating pool's leader node
	globalNotificationSys.LoadRebalanceMeta(ctx, true)
}