>>> import numpy as np
>>> x = np.array(1)
>>> np.argmin(x)
0
>>> import dask.array as da
>>> x = da.from_array(x)
>>> da.argmin(x).compute()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/tom/projects-workspace/dask/dask/base.py", line 292, in compute
    (result,) = compute(self, traverse=False, **kwargs)
  File "/Users/tom/projects-workspace/dask/dask/base.py", line 575, in compute
    results = schedule(dsk, keys, **kwargs)
  File "/Users/tom/projects-workspace/dask/dask/threaded.py", line 81, in get
    results = get_async(
  File "/Users/tom/projects-workspace/dask/dask/local.py", line 508, in get_async
    raise_exception(exc, tb)
  File "/Users/tom/projects-workspace/dask/dask/local.py", line 316, in reraise
    raise exc
  File "/Users/tom/projects-workspace/dask/dask/local.py", line 221, in execute_task
    result = _execute_task(task, data)
  File "/Users/tom/projects-workspace/dask/dask/core.py", line 119, in _execute_task
    return func(*(_execute_task(a, cache) for a in args))
  File "/Users/tom/projects-workspace/dask/dask/core.py", line 119, in <genexpr>
    return func(*(_execute_task(a, cache) for a in args))
  File "/Users/tom/projects-workspace/dask/dask/core.py", line 119, in _execute_task
    return func(*(_execute_task(a, cache) for a in args))
  File "/Users/tom/projects-workspace/dask/dask/array/reductions.py", line 1038, in arg_chunk
    arg[:] = np.ravel_multi_index(total_ind, total_shape)
  File "<__array_function__ internals>", line 180, in ravel_multi_index
ValueError: At least one iterator operand must be non-NULL