the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be
            re-used for the rest of the request.

            Set `use_cache` to `False` to disable this behavior and ensure the
            dependency is called again (if declared more than once) in the same request.
            """

	// badVoidPointerTypedef handles the "void *" HANDLE type, but other
	// handles are defined as
	//
	// struct <name>__{int unused;}; typedef struct <name>__ *name;
	//
	// by the DECLARE_HANDLE macro in STRICT mode. The macro is declared in
	// the Windows ntdef.h header,
	//
	// https://github.com/tpn/winsdk-10/blob/master/Include/10.0.16299.0/shared/ntdef.h#L779

// field of a Status object defines what attributes will be set. Clients
// must ignore fields that do not match the defined type of each attribute,
// and should assume that any attribute may be empty, invalid, or under
// defined.
message StatusDetails {
  // The name attribute of the resource associated with the status StatusReason
  // (when there is a single name which can be described).

// * unsigned char is used for booleans (instead of the 'bool' type).
//   In C++ bool is a keyword while in C99 bool is a macro defined
//   in stdbool.h. It is possible for the two to be inconsistent.
//   For example, neither the C99 nor the C++11 standard force a byte
//   size on the bool type, so the macro defined in stdbool.h could
//   be inconsistent with the bool keyword in C++. Thus, the use

# On Windows, `__cplusplus` is wrongly defined without this switch
# See https://devblogs.microsoft.com/cppblog/msvc-now-correctly-reports-__cplusplus/
build:windows --copt=/Zc:__cplusplus
build:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
build:windows --copt=/D_USE_MATH_DEFINES

                        Version.V20,
                        prefix + prefix2 + "(groupId:artifactId)",
                        null,
                        "groupId of a plugin must be defined. ",
                        plugin);
            }

            if (plugin.getArtifactId() == null
                    || (plugin.getArtifactId() != null

		if len(unknownPoliciesSet) > 0 {
			authz := newGlobalAuthZPluginFn()
			if authz == nil {
				// Print a warning that some policies mapped to a role are not defined.
				errMsg := fmt.Errorf(
					"The policies \"%s\" mapped to role ARN %s are not defined - this role may not work as expected.",
					unknownPoliciesSet.ToSlice(), arn.String())
				authZLogIf(ctx, errMsg, logger.WarningKind)
			}
		}

	case dns.ErrInvalidBucketName:
		apiErr = ErrInvalidBucketName
	case dns.ErrBucketConflict:
		apiErr = ErrBucketAlreadyExists
	default:
		if strings.Contains(err.Error(), "request declared a Content-Length") {
			apiErr = ErrIncompleteBody
		} else {
			apiErr = ErrInternalError
		}
	}

	return apiErr
}

var noError = APIError{}

TEST(CAPI, LibraryLoadFunctions) {
  // TODO(b/73318067): Fix linking for the GPU test generated by the
  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(

        String logonShare = getContext().getConfig().getLogonShare();
        if ( logonShare == null || logonShare.isEmpty() ) {
            throw new SmbException("Logon share is not defined");
        }
        try ( SmbTreeImpl t = getSmbTree(logonShare, null) ) {
            t.treeConnect(null, null);
        }
        catch ( CIFSException e ) {
            throw SmbException.wrap(e);
        }