a(this,this.parentNode)},set outerHTML(e){var t=this.parentNode;if(t){t.invalidateShadowRenderer();var n=u(t,e);t.replaceChild(n,this)}},insertAdjacentHTML:function(e,t){var n,r;switch(String(e).toLowerCase()){case"beforebegin":n=this.parentNode,r=this;break;case"afterend":n=this.parentNode,r=this.nextSibling;break;case"afterbegin":n=this,r=this.firstChild;break;case"beforeend":n=this,r=null;break;default:return}var o=u(n,t);n.insertBefore(o,r)},get hidden(){return this.hasAttribute("hidden")},set hidden(e){e?thi...

		}
		if got := fi.TierFreeVersion(); got != ft.expectedFree {
			t.Fatalf("Expected free-version=%v but got free-version=%v", ft.expectedFree, got)
		}
		if ft.afterFn != nil {
			_, err = ft.afterFn(fi)
			if err != nil {
				t.Fatalf("ft.afterFn failed with err %v", err)
			}
		}
	}

	// Simulate scanner removing free-version
	freefi := newtierfi
	for _, fvID := range fvIDs {

      entry.mutable_hlo_module()->set_name(
          absl::StrCat(entry.hlo_module().name(), "_altered"));
      TF_RETURN_IF_ERROR(WriteBinaryProto(env, file_path, entry));
      altered = true;
    }
  }

  if (!altered) {
    return errors::NotFound(
        "Did not find any persistent XLA compilation cache entries to alter.");
  }
  return absl::OkStatus();
}

}

func (s *Product) BeforeSave(tx *gorm.DB) (err error) {
	if s.Code == "dont_save" {
		err = errors.New("can't save")
	}
	s.BeforeSaveCallTimes = s.BeforeSaveCallTimes + 1
	return
}

func (s *Product) AfterFind(tx *gorm.DB) (err error) {
	s.AfterFindCallTimes = s.AfterFindCallTimes + 1
	return
}

func (s *Product) AfterCreate(tx *gorm.DB) (err error) {

  TF_ASSERT_OK(AlterPersistentCacheEntryHloModuleNames(
      tensorflow::testing::TmpDir(), "my_test_prefix"));

  // Run again and these should all hit in the persistent cache despite having
  // altered the persistent cache entries' HLO modules (disabled strict
  // signature checks).
  listener()->ClearListenerHistory();
  for (int b = 1; b < 4; ++b) {
    TF_ASSERT_OK(ExecuteWithBatch(graph, b));
  }

 * probably roll its own.
 * <p>
 * This implementation is backed by Maven Resolver API, supported protocols and transport selection depends on it. If
 * resolver preference regarding transport is altered, it will affect this service as well.
 *
 * @since 4.0.0
 */
@Experimental
@Consumer
public interface TransportProvider extends Service {
    /**

  TF_ASSERT_OK(
      AlterPersistentCacheEntryHloModuleNames(tensorflow::testing::TmpDir()));

  // Run again but these should all fail, because the persistent cache entries'
  // HLO modules have been altered.
  for (int b = 1; b < 4; ++b) {
    auto status = ExecuteWithBatch(graph, b);
    EXPECT_FALSE(status.ok());
    EXPECT_TRUE(
        absl::StrContains(status.message(), "Serialized HLO does not match."));
  }
}

		db.Statement.Clauses["FROM"] = fromClause
	}
	if db.Error == nil && db.Statement.Schema != nil && !db.Statement.SkipHooks && db.Statement.Schema.AfterFind && db.RowsAffected > 0 {
		callMethod(db, func(value interface{}, tx *gorm.DB) bool {
			if i, ok := value.(AfterFindInterface); ok {
				db.AddError(i.AfterFind(tx))
				return true
			}
			return false
		})
	}

	original := object

	// deep copy the original object
	object = object.DeepCopyObject()
	name := reflect.TypeOf(object).Elem().Name()
	if !apiequality.Semantic.DeepEqual(original, object) {
		t.Errorf("%v: DeepCopy altered the object, diff: %v", name, cmp.Diff(original, object))
		t.Errorf("%s", dump.Pretty(original))
		t.Errorf("%s", dump.Pretty(object))
		return
	}

	// encode (serialize) the deep copy using the provided codec

	callbackTypeAfterSave    callbackType = "AfterSave"
	callbackTypeBeforeDelete callbackType = "BeforeDelete"
	callbackTypeAfterDelete  callbackType = "AfterDelete"
	callbackTypeAfterFind    callbackType = "AfterFind"
)

// ErrUnsupportedDataType unsupported data type
var ErrUnsupportedDataType = errors.New("unsupported data type")

type Schema struct {
	Name                      string
	ModelType                 reflect.Type