} LsarTransNameArray;

	[op(0x00)]
	int LsarClose([in,out] policy_handle *handle);

	[op(0x07)]
	int LsarQueryInformationPolicy([in] policy_handle *handle,
			[in] uint16_t level,
			[out,switch_is(level),unique] LsarPolicyInfo *info);

	[op(0x0f)]
	int LsarLookupSids([in] policy_handle *handle,
			[in] LsarSidArray *sids,
			[out,unique] LsarRefDomainList *domains,

	} LsarTransNameArray;

	[op(0x00)]
	int LsarClose([in,out] policy_handle *handle);

	[op(0x07)]
	int LsarQueryInformationPolicy([in] policy_handle *handle,
			[in] uint16_t level,
			[out,switch_is(level),unique] LsarPolicyInfo *info);

	[op(0x0f)]
	int LsarLookupSids([in] policy_handle *handle,
			[in] LsarSidArray *sids,
			[out,unique] LsarRefDomainList *domains,

public class LsaPolicyHandle extends rpc.policy_handle {

    DcerpcHandle handle;

    public LsaPolicyHandle(DcerpcHandle handle, String server, int access) throws IOException {
        this.handle = handle;
        if (server == null)
            server = "\\\\";
        MsrpcLsarOpenPolicy2 rpc = new MsrpcLsarOpenPolicy2(server, access, this);
        handle.sendrecv(rpc);
        if (rpc.retval != 0)

                                                  TF_Status* s) {
  auto handle = dyn_cast<ImmediateExecutionTensorHandle>(unwrap(at));
  if (!handle) {
    string msg =
        StrCat("Not an eager tensor handle.", reinterpret_cast<uintptr_t>(at));
    TF_SetStatus(s, TF_INVALID_ARGUMENT, msg.c_str());
    return nullptr;
  }
  return wrap(handle);
}

TFE_Context* TF_ExecutionContextGetTFEContext(TF_ExecutionContext* ctx,

        ],
    }),
)

cc_library(
    name = "immediate_execution_tensor_handle",
    srcs = ["immediate_execution_tensor_handle.cc"],
    hdrs = ["immediate_execution_tensor_handle.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":abstract_tensor_handle",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/core:framework",

		auth = NoAuthMiddleware
	}
	metricsRouter.Handle(prometheusMetricsPathLegacy, auth(metricsHandler()))
	metricsRouter.Handle(prometheusMetricsV2ClusterPath, auth(metricsServerHandler()))
	metricsRouter.Handle(prometheusMetricsV2BucketPath, auth(metricsBucketHandler()))
	metricsRouter.Handle(prometheusMetricsV2NodePath, auth(metricsNodeHandler()))
	metricsRouter.Handle(prometheusMetricsV2ResourcePath, auth(metricsResourceHandler()))

// Creates or truncates the given filename and returns a handle to be used for
// appending data to the file. If status is TF_OK, *handle is updated and the
// caller is responsible for freeing it (see TF_CloseWritableFile).
TF_CAPI_EXPORT extern void TF_NewWritableFile(const char* filename,
                                              TF_WritableFileHandle** handle,
                                              TF_Status* status);

pkg syscall (windows-386), const TH32CS_SNAPTHREAD ideal-int
pkg syscall (windows-386), func CreateToolhelp32Snapshot(uint32, uint32) (Handle, error)
pkg syscall (windows-386), func Process32First(Handle, *ProcessEntry32) error
pkg syscall (windows-386), func Process32Next(Handle, *ProcessEntry32) error
pkg syscall (windows-386), type ProcessEntry32 struct
pkg syscall (windows-386), type ProcessEntry32 struct, DefaultHeapID uintptr

        ::tensorflow::io::JoinPath(dirpath, "somefile.txt");
    TF_WritableFileHandle* handle;
    TF_NewWritableFile(filepath.c_str(), &handle, s);
    ASSERT_TF_OK(s) << "NewWritableFile failed for " << filepath << ": "
                    << TF_Message(s);

    const char* data = "Hello, world!\n";
    TF_AppendWritableFile(handle, data, strlen(data), s);
    ASSERT_TF_OK(s) << "TF_AppendWritableFile failed to append data to file at "

the bundle id before installing a new app. If the uninstalled app is the last app by
the developer identity, the device might also remove the permission to run apps from
that developer, and the exec wrapper will fail to install the new app. To avoid that,
install another app with the same developer identity but with a different bundle id.