if (importIds.contains(imported)) {
            StringBuilder message =
                    new StringBuilder("The dependencies of type=pom and with scope=import form a cycle: ");
            for (String modelId : importIds) {
                message.append(modelId).append(" -> ");
            }
            message.append(imported);

ClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!y||!y.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ve(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=E)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{if(d.cssSupportsSelector&&!CSS.supports("selector(:is("+c+"))"))throw new Error;return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===E&...

        try (DirContextHolder holder = getDirContext(envSupplier)) {
            final SearchControls controls = new SearchControls();
            controls.setSearchScope(SearchControls.SUBTREE_SCOPE);
            if (returningAttrs != null) {
                controls.setReturningAttributes(returningAttrs);
            }

            final SystemHelper systemHelper = ComponentUtil.getSystemHelper();

            directly.
            """
        ),
    ] = None,
    *,
    scopes: Annotated[
        Optional[Sequence[str]],
        Doc(
            """
            OAuth2 scopes required for the *path operation* that uses this Security
            dependency.

            The term "scope" comes from the OAuth2 specification, it seems to be

If you use ThirdPartyResource objects, they have moved from being namespaced-scoped to be cluster-scoped. Before upgrading to 1.3.0, export and delete any existing ThirdPartyResource objects using a 1.2.x client:

kubectl get thirdpartyresource --all-namespaces -o yaml > tprs.yaml
kubectl delete -f tprs.yaml

After upgrading to 1.3.0, re-register the third party resource objects at the root scope (using a 1.3 server and client):

kubectl create -f tprs.yaml

ClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!y||!y.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ve(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=E)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{if(d.cssSupportsSelector&&!CSS.supports("selector(:is("+c+"))"))throw new Error;return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===E&...

  // May only be shortened.
  // Read-only.
  // +optional
  optional int64 deletionGracePeriodSeconds = 10;

  // Map of string keys and values that can be used to organize and categorize
  // (scope and select) objects. May match selectors of replication controllers
  // and services.
  // More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels
  // +optional
  map<string, string> labels = 11;

    @Deprecated
    @Override
    @DoNotCall("Always throws UnsupportedOperationException")
    public final void clear() {
      throw new UnsupportedOperationException();
    }

    /**
     * Scope the return type to {@link UnmodifiableIterator} to ensure this is an unmodifiable view.
     *
     * @since 20.0 (present with return type {@link Iterator} since 2.0)
     */
    @Override

///     break ABI compatibility and cause all plugins to be recompiled, these
///     type of changes should be extremely rare.
///
/// Next section will detail this as well as some corner cases that are out of
/// scope for now.

// LINT.IfChange
typedef struct TF_RandomAccessFileOps {
  /// Releases resources associated with `*file`.
  ///
  /// Requires that `*file` is not used in any concurrent or subsequent

    roots = [
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/cc:cc_ops",
        "//tensorflow/cc:client_session",
        "//tensorflow/cc:scope",
        "//tensorflow/core:tensorflow",
        "//tensorflow/core/data:standalone",
        # Exports for pywrap_tensorflow_internal. Many of these are transitive