def normalized(self):
orig_header = self.pipeline_start
header = []
for i, c in enumerate(orig_header):
if c:
c = python_identifier(c)
c = nml.NormHeader(c)
if not c:
c = f'TEMP_{i}'
if c in header:
c = c + f'_TEMP_{i}'
header.append(c)
return header
def to_string_and_then_python_identifier(thing):
""" handl cases where a header value isn't a string """
return python_identifier(str(thing))