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I currently hit a "very special case".
A coap2http proxy receives an http error (404) and a page with about 2k.
If the 404 is translated into 4.04, "my stack" (Eclipse/Californum) refuses to do …
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What would need to happen to use flox with cubed instead of dask?
(I see this question as part of fully solving https://github.com/pydata/xarray/issues/6807.)
In the code I see `blockwise` bein…
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Users may be confused why tasks that they expect to run don't show up on the dashboard.
With low-level fusion, we concatenate the names of all the tasks together, so at least the name of the task (…
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Subsequent Blockwise layers are currently fused into a single layer. This reduces the number of tasks, the overhead and is very generally a good thing to do. Currently, the fused output does not gener…
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I'm thinking of `groupby("time.year")`, which looks like a resample, and also resampling type aggregations,
In general, if `by` is sorted, then `blockwise` is potentially the best option.
We cou…
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`da.store` is basically the main method for writing arrays out of dask; things like `to_zarr` use `da.store` internally, and downstream projects like xarray use it extensively. Currently, it produces …
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We currently collect a broad class of operations into high level graphs.
```python
In [1]: import dask.array as da
In […
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The shapes of `z` and `z.compute()` don't match. This leads to lots of other strange behavior like slicing not working properly.
```python
import operator
import numpy as np
import dask.array as…
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Current `blockwise_meta`/`blockwise` implementation defaults to `dtype` construction of `Dask.Array` when an non-trivial exception is raised when computing `_meta`. This is suboptimal for two reasons:…
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**Is your enhancement proposal related to a problem? Please describe.**
How can clients stream large payloads in blockwise uploads that otherwise could not fit in memory alone?
Today, the CoAP c…