Creating DataValidation that evaluates to an error with openpyxl

Using python and openpyxl I'm trying to create dependent list of data with DataValidation like in example from this article.

DataValidation works fine when I'm pointing directly to some range of cells. But when I'm creating cascade then resulting excel file is corrupted and can be opened only in recovery mode.

My only guess right now is that it might be related to error when first column is empty then after saving cascaded DataValidation excel shows error popup

The Source currently evaluates to an error. Do you want to continue?

Still we can save such potentially erroneous DataValidation when doing it manually in excel. It just leaves us with empty data list.

So my question is does openpyxl not support such errors? Or is there some DataValidation argument which I missed to silently skip such errors? Any other idea to create DataValidation that evaluates to an error with python?

Example code to reproduce the error:

from openpyxl import Workbook
from openpyxl.worksheet.datavalidation import DataValidation

wb = Workbook()
sheet1 = wb.active
data_sheet = wb.create_sheet("DATA")
data_sheet['A1'] = "data1"
data_sheet['A2'] = "value1"
data_sheet['A3'] = "value2"
data_sheet['B1'] = "data2"
data_sheet['B2'] = "other value1"
data_sheet['B3'] = "other value2"
data_sheet['B4'] = "other value3"

formula = "DATA!1:1"
data_validation = DataValidation(type='list', formula1=formula, allow_blank=True)
sheet1.add_data_validation(data_validation)
data_validation.add("A1")

# when I comment this section out 
# and create data validation with following formula by hand 
# it can be saved in excel and it works
# but as I mentioned, error popup appears in excel
formula2 = "OFFSET(DATA!A2;0;MATCH(A1;DATA!1:1;0)-1;COUNTA(OFFSET(DATA!A:A;0;MATCH(A1;DATA!1:1;0)-1))-1)"
data_validation2 = DataValidation(type='list', formula1=formula2, allow_blank=True)
sheet1.add_data_validation(data_validation2)
data_validation2.add("B1")

wb.save("example.xlsx")

NOTE: I'm trying now different approach to handle error with excel formula, whichever comes first could solve my problem.