|| !Objects.equals(token, other.token)) {
            return false;
        }
        return true;
    }

    @Override
    public String toString() {
        return "KuromojiItem [token=" + token + ", segmentation=" + segmentation + ", reading=" + reading + ", pos=" + pos + ", newToken="

        requestBody.put("segmentation", "segment");
        requestBody.put("reading", "reading");
        requestBody.put("pos", "pos");
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();
        updateMap.put("segmentation", "new_segment");
        return updateMap;
    }

            }, this::asEditHtml);
        }
        if (form.segmentation != null && form.reading != null && form.segmentation.split(" ").length != form.reading.split(" ").length) {
            throwValidationError(messages -> {
                messages.addErrorsInvalidKuromojiSegmentation("segmentation", form.segmentation, form.reading);
            }, this::asEditHtml);
        }
    }

    public String dictId;

    @ValidateTypeFailure
    public Integer crudMode;

    @Required
    @Size(max = 1000)
    public String token;

    @Required
    @Size(max = 1000)
    public String segmentation;

    @Required
    @Size(max = 1000)
    public String reading;

    @Required
    @Size(max = 1000)
    public String pos;

    public void initialize() {
        crudMode = CrudMode.CREATE;

                String token = null;
                String segmentation = null;
                String reading = null;
                String pos = null;
                switch (values.length) {
                case 4:
                    pos = values[3];
                case 3:
                    reading = values[2];
                case 2:
                    segmentation = values[1];
                case 1:

    *   `Discretization`: turn continuous numerical features into categorical
        features by binning their values
*   Improved **image preprocessing** layers: `CenterCrop`, `Rescaling`
*   Improved **image augmentation** layers: `RandomCrop`, `RandomFlip`,
    `RandomTranslation`, `RandomRotation`, `RandomHeight`, `RandomWidth`,
    `RandomZoom`, `RandomContrast`

	return err.Error() == "sql: statement is closed"
}

// TestPreparedStmtConcurrentReset test calling reset and executing SQL concurrently
// this test making sure that the gorm would not get a Segmentation Fault, and the only error cause by this is using a closed Stmt
func TestPreparedStmtConcurrentReset(t *testing.T) {
	name := "prepared_stmt_concurrent_reset"
	user := *GetUser(name, Config{})

        body.id = entity.getId();
        body.dictId = dictId;
        body.token = entity.getToken();
        body.reading = entity.getReading();
        body.pos = entity.getPos();
        body.segmentation = entity.getSegmentation();
        return body;
    }

labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target
labels.token=Token
labels.synonymFile=Synonym File
labels.stopwordsFile=Stopwords File
labels.stemmerOverrideFile=Stemmer Override File

		db.Mux.Unlock()
		// wait for other goroutines prepared
		<-stmt.prepared
		if stmt.prepareErr != nil {
			return Stmt{}, stmt.prepareErr
		}

		return *stmt, nil
	}
	// check db.Stmts first to avoid Segmentation Fault(setting value to nil map)
	// which cause by calling Close and executing SQL concurrently
	if db.Stmts == nil {
		db.Mux.Unlock()
		return Stmt{}, ErrInvalidDB
	}
	// cache preparing stmt first