`nbdev_export` fails

I've used the old version of nbdev for a few years now. nbdev_build_lib would work fine when building the python code. I've upgraded to the new version but since then, nbdev_export fails with this error:

nbdev_export
Traceback (most recent call last):
File "C:\Anaconda\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Anaconda\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Anaconda\Scripts\nbdev_export.exe\__main__.py", line 7, in
File "C:\Anaconda\lib\site-packages\fastcore\script.py", line 119, in _f
return tfunc(**merge(args, args_from_prog(func, xtra)))
File "C:\Anaconda\lib\site-packages\nbdev\doclinks.py", line 137, in nbdev_export
for f in files: nb_export(f)
File "C:\Anaconda\lib\site-packages\nbdev\export.py", line 59, in nb_export
mm.make(cells, all_cells, lib_path=lib_path)
File "C:\Anaconda\lib\site-packages\nbdev\maker.py", line 201, in make
_all = self.make_all(all_cells)
File "C:\Anaconda\lib\site-packages\nbdev\maker.py", line 100, in make_all
all_assigns = assigns.filter(lambda o: getattr(_targets(o)[0],'id',None)=='_all_')
File "C:\Anaconda\lib\site-packages\fastcore\foundation.py", line 160, in filter
return self._new(filter_ex(self, f=f, negate=negate, gen=gen, **kwargs))
File "C:\Anaconda\lib\site-packages\fastcore\basics.py", line 642, in filter_ex
return list(res)
File "C:\Anaconda\lib\site-packages\nbdev\maker.py", line 100, in
all_assigns = assigns.filter(lambda o: getattr(_targets(o)[0],'id',None)=='_all_')
File "C:\Anaconda\lib\site-packages\nbdev\maker.py", line 90, in _targets
def _targets(o): return [o.target] if isinstance(o, ast.AnnAssign) else o.targets
AttributeError: 'AugAssign' object has no attribute 'targets'

After a few hours of deep diving what could be causing this, I've pinpointed the piece of code to be the following:

`
#| export
from functools import partial
import concurrent.futures
all_functions = []

#| export
table = x
all_functions += [partial(
snowdb2.spark_copy_db2_to_snow
, schemas, table, partition_cols=partition_cols, num_partitions=num_partitions
)]

#| export
table = y
all_functions += [partial(
snowdb2.spark_copy_db2_to_snow
, schemas, table, partition_cols=partition_cols, num_partitions=num_partitions
)]

#| export
with concurrent.futures.ThreadPoolExecutor(max_workers=num_partitions) as executor:
# Start the load operations and mark each future with its URL
future_to_url = {executor.submit(f): f for f in all_functions}
for future in concurrent.futures.as_completed(future_to_url):
url = future_to_url[future]
`
So it seems like the issue might be related to the use of partial function. Any advice on how to fix this? I was wondering if we can add a try, except block to maker.py such that it won't hard fail but rather give a warning