def _parse_path(self, path, **kwargs):
results = parse_path(path, self._read_file)
all_ts = []
# r can be either a TimeSeries, path, or a data, header pair
for r in results:
if isinstance(r, GenericTimeSeries):
all_ts += [r]
elif isinstance(r, pathlib.Path):
all_ts += [
self._check_registered_widgets(filepath=r, **kwargs)
]
else:
pairs = r
# Pairs may be x long where x is the number of HDUs in the file.
headers = [pair.header for pair in pairs]
types = []
for header in headers:
try:
match = self._get_matching_widget(meta=header,
**kwargs)
if not match == GenericTimeSeries:
types.append(match)
except (MultipleMatchError, NoMatchError):
continue
if not types:
# If no specific classes have been found we can read the data
# if we only have one data header pair:
if len(pairs) == 1:
all_ts += [
GenericTimeSeries(pairs[0]._data, pairs[0].header)
]
continue
else:
raise NoMatchError(
"Input read by sunpy.io can not find a "
"matching class for reading multiple HDUs")
if len(set(types)) > 1:
raise MultipleMatchError(
"Multiple HDUs return multiple matching classes.")
cls = types[0]
data_header_unit_tuple = cls._parse_hdus(pairs)
all_ts += self._parse_arg(data_header_unit_tuple)
return all_ts
def _parse_path(self, arg, **kwargs):
return parse_path(arg, self._read_file, **kwargs)