Validation fails for BinaryCIF when trying to check any integer field (e.g. an ordinal ID) against the dictionary's regular expression:
Traceback (most recent call last):
File "/Users/ben/python-ihm/validate-modbase.py", line 13, in <module>
pdbx_ma.validate(fh, format='BCIF')
File "/Users/ben/python-ihm/ihm/dictionary.py", line 214, in validate
while r.read_file():
File "/Users/ben/python-ihm/ihm/format_bcif.py", line 219, in read_file
self._handle_category(handler, category, cat_name)
File "/Users/ben/python-ihm/ihm/format_bcif.py", line 253, in _handle_category
handler(*row_data)
File "/Users/ben/python-ihm/ihm/dictionary.py", line 75, in __call__
self.sysr.validate_data(self.category_obj, self._keys, args,
File "/Users/ben/python-ihm/ihm/dictionary.py", line 114, in validate_data
if kwobj.item_type and not kwobj.item_type.regex.match(value):
TypeError: expected string or bytes-like object
This is because value for mmCIF files is always a Python string, but for BinaryCIF it could also be a Python int or float.
Simplest solution would be to coerce all values to str before checking against the regex.
Validation fails for BinaryCIF when trying to check any integer field (e.g. an ordinal ID) against the dictionary's regular expression:
This is because
valuefor mmCIF files is always a Python string, but for BinaryCIF it could also be a Pythonintorfloat.Simplest solution would be to coerce all values to
strbefore checking against the regex.