allUsers.Add(u)
		}
		for g := range sri.GroupDescMap {
			allGroups.Add(g)
		}
		for p := range sri.Policies {
			allPolicies.Add(p)
		}
		for u := range sri.UserPolicies {
			allUserWPolicies.Add(u)
		}
		for g := range sri.GroupPolicies {
			allGroupWPolicies.Add(g)
		}
		for r := range sri.ILMExpiryRules {
			allILMExpiryRules.Add(r)
		}
	}

		for _, resource := range args.Resources {
			lris, ok := l.lockMap[resource]
			if !ok {
				continue
			}
			// Collect uids, so we don't mutate while we delete
			uids := make([]string, 0, len(lris))
			for _, lri := range lris {
				uids = append(uids, lri.UID)
			}

			// Delete collected uids:
			for _, uid := range uids {
				lris, ok := l.lockMap[resource]
				if !ok {

    licenses = ["notice"],
)

filegroup(
    name = "safe_ptr_hdr",
    srcs = ["safe_ptr.h"],
    visibility = [
        "//tensorflow:internal",
    ],
)

cc_library(
    name = "safe_ptr",
    srcs = [
        "safe_ptr.cc",
        "//tensorflow/c/eager:headers",
    ],
    hdrs = ["safe_ptr.h"],
    visibility = [

    ],
)

filegroup(
    name = "headers",
    srcs = [
        "c_api.h",
        "c_api_experimental.h",
        "dlpack.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(
    name = "pywrap_headers_monitoring_reader",
    srcs = [
        "c_api_experimental_reader.h",
        "tfe_monitoring_reader_internal.h",
    ],

			Name:   resource,
			UID:    mustGetUUID(),
			Owner:  owners[i%len(owners)],
			Quorum: 2,
		}
		lris = append(lris, lri)
		locksHeld[resource] = append(locksHeld[resource], lri)
		// concurrent read lock, same resource different uid
		lri.UID = mustGetUUID()
		lris = append(lris, lri)
		locksHeld[resource] = append(locksHeld[resource], lri)
	}

	var peerLocks []*PeerLocks

	sr.lock.Lock()
	defer sr.lock.Unlock()
	srs, ok := sr.M[dID]
	if !ok {
		srs = &SRStatus{
			XferRateLrg: newXferStats(),
			XferRateSml: newXferStats(),
		}
	}
	srs.Endpoint = st.Endpoint
	srs.Secure = st.Secure
	switch {
	case st.Completed:
		srs.ReplicatedSize += st.TransferSize
		srs.ReplicatedCount++
		if st.TransferDuration > 0 {
			srs.Latency.update(st.TransferSize, st.TransferDuration)

# filegroup(
#     name = "copybara_library",
#     srcs = glob(
#         [
#             "*.bara.sky",
#             "*.dic",
#             "*.ftrcp",
#         ],
#         exclude = [
#             "copy.bara.sky",
#         ],
#     ),
#     visibility = ["//visibility:public"],
# )
#
# filegroup(
#     name = "copybara_config",
#     srcs = ["copy.bara.sky"],
#     data = [

        // Read first message
        assertEquals(1, sis.read());
        assertEquals(2, sis.read());

        // Read second message
        assertEquals(3, sis.read());
        assertEquals(4, sis.read());
        assertEquals(5, sis.read());

        // After all data is consumed, next read throws IOException
        assertThrows(IOException.class, () -> sis.read());
    }

errors.invalid_query_sort_value = Le tri spécifié {0} n'est pas valide.
errors.invalid_query_unsupported_sort_field = Le tri spécifié {0} n'est pas pris en charge.
errors.invalid_query_unsupported_sort_order = L'ordre de tri spécifié {0} n'est pas pris en charge.
errors.invalid_query_cannot_process=Impossible de traiter la requête spécifiée.
errors.crud_invalid_mode = Le mode est incorrect. (pas {0}, mais {1})

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",
    srcs = ["nvidia-requirements.txt"],
    outs = ["nvidia-constraints.txt"],
    cmd = """sed -E "s/>=/==/" $(location nvidia-requirements.txt) > $@;""",
)

compile_pip_requirements(
    name = "requirements",
    srcs = [
        "nvidia-requirements.txt",
        "requirements.in",
        ":nvidia_constraints",
    ],