Empty                                     Traceback (most recent call last)
File ~/mambaforge/envs/py39_2/lib/python3.9/site-packages/joblib/parallel.py:1423, in Parallel.dispatch_one_batch(self, iterator)
   1422 try:
-> 1423     tasks = self._ready_batches.get(block=False)
   1424 except queue.Empty:
   1425     # slice the iterator n_jobs * batchsize items at a time. If the
   1426     # slice returns less than that, then the current batchsize puts
   (...)
   1429     # accordingly to distribute evenly the last items between all
   1430     # workers.

File ~/mambaforge/envs/py39_2/lib/python3.9/queue.py:168, in Queue.get(self, block, timeout)
    167     if not self._qsize():
--> 168         raise Empty
    169 elif timeout is None:

Empty: 

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
Cell In[7], line 9
      4 @delayed
      5 def f():
      6     pass
----> 9 Parallel(n_jobs=10.0)(f() for i in range(10))

File ~/mambaforge/envs/py39_2/lib/python3.9/site-packages/joblib/parallel.py:1950, in Parallel.__call__(self, iterable)
   1944 self._call_ref = weakref.ref(output)
   1946 # The first item from the output is blank, but it makes the interpreter
   1947 # progress until it enters the Try/Except block of the generator and
   1948 # reach the first `yield` statement. This starts the aynchronous
   1949 # dispatch of the tasks to the workers.
-> 1950 next(output)
   1952 return output if self.return_generator else list(output)

File ~/mambaforge/envs/py39_2/lib/python3.9/site-packages/joblib/parallel.py:1588, in Parallel._get_outputs(self, iterator, pre_dispatch)
   1586 detach_generator_exit = False
   1587 try:
-> 1588     self._start(iterator, pre_dispatch)
   1589     # first yield returns None, for internal use only. This ensures
   1590     # that we enter the try/except block and start dispatching the
   1591     # tasks.
   1592     yield

File ~/mambaforge/envs/py39_2/lib/python3.9/site-packages/joblib/parallel.py:1571, in Parallel._start(self, iterator, pre_dispatch)
   1562 def _start(self, iterator, pre_dispatch):
   1563     # Only set self._iterating to True if at least a batch
   1564     # was dispatched. In particular this covers the edge
   (...)
   1568     # was very quick and its callback already dispatched all the
   1569     # remaining jobs.
   1570     self._iterating = False
-> 1571     if self.dispatch_one_batch(iterator):
   1572         self._iterating = self._original_iterator is not None
   1574     while self.dispatch_one_batch(iterator):

File ~/mambaforge/envs/py39_2/lib/python3.9/site-packages/joblib/parallel.py:1434, in Parallel.dispatch_one_batch(self, iterator)
   1431 n_jobs = self._cached_effective_n_jobs
   1432 big_batch_size = batch_size * n_jobs
-> 1434 islice = list(itertools.islice(iterator, big_batch_size))
   1435 if len(islice) == 0:
   1436     return False

ValueError: Stop argument for islice() must be None or an integer: 0 <= x <= sys.maxsize.