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arraygood first issueClearly described and easy to accomplish. Good for beginners to the project.Clearly described and easy to accomplish. Good for beginners to the project.
Description
When doing fancy indexing on an index with missing chunks we raise an IndexError.
In [21]: a = da.ones((10, 5), chunks=5)
In [22]: a._chunks = ((np.nan, np.nan), (5,))
In [23]: a[[0, 5]].compute()
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-23-314b1b59b481> in <module>
----> 1 a[[0, 5]].compute()
~/sandbox/dask/dask/dask/base.py in compute(self, **kwargs)
165 dask.base.compute
166 """
--> 167 (result,) = compute(self, traverse=False, **kwargs)
168 return result
169
~/sandbox/dask/dask/dask/base.py in compute(*args, **kwargs)
450 postcomputes.append(x.__dask_postcompute__())
451
--> 452 results = schedule(dsk, keys, **kwargs)
453 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
454
~/sandbox/dask/dask/dask/threaded.py in get(dsk, result, cache, num_workers, pool, **kwargs)
74 pools[thread][num_workers] = pool
75
---> 76 results = get_async(
77 pool.apply_async,
78 len(pool._pool),
~/sandbox/dask/dask/dask/local.py in get_async(apply_async, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, **kwargs)
484 _execute_task(task, data) # Re-execute locally
485 else:
--> 486 raise_exception(exc, tb)
487 res, worker_id = loads(res_info)
488 state["cache"][key] = res
~/sandbox/dask/dask/dask/local.py in reraise(exc, tb)
314 if exc.__traceback__ is not tb:
315 raise exc.with_traceback(tb)
--> 316 raise exc
317
318
~/sandbox/dask/dask/dask/local.py in execute_task(key, task_info, dumps, loads, get_id, pack_exception)
220 try:
221 task, data = loads(task_info)
--> 222 result = _execute_task(task, data)
223 id = get_id()
224 result = dumps((result, id))
~/sandbox/dask/dask/dask/core.py in _execute_task(arg, cache, dsk)
119 # temporaries by their reference count and can execute certain
120 # operations in-place.
--> 121 return func(*(_execute_task(a, cache) for a in args))
122 elif not ishashable(arg):
123 return arg
IndexError: index 5 is out of bounds for axis 0 with size 5It actually works if the indexer happens to slice from just the first chunk.
In [24]: a[[0, 4]].compute()
Out[24]:
array([[1., 1., 1., 1., 1.],
[1., 1., 1., 1., 1.]])I'm not sure what's best to do here. I can imagine a few things that might work but would be slow. Perhaps we just raise when people try to do fancy indexing on an array with unknown chunk sizes?
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arraygood first issueClearly described and easy to accomplish. Good for beginners to the project.Clearly described and easy to accomplish. Good for beginners to the project.