Florian Jetter
Florian Jetter
I only saw this pop up once so far but the `test_split_adaptive_aggregate_files` was failing on main https://github.com/dask/dask/actions/runs/7226871563/job/19693365591 ```python-traceback ddf1.to_parquet( str(tmpdir), engine=write_engine, partition_on=partition_on, write_index=False, ) with pytest.warns(FutureWarning, match="Behavior may change"): ddf2...
Closes https://github.com/dask/dask/issues/10708 cc @rjzamora
This failed on main, see https://github.com/dask/dask/actions/runs/7250252918/job/19750018247 ``` E assert 0.3946495992341462 == 0.35667494393873245 � 3.6e-02 E comparison failed E Obtained: 0.3946495992341462 E Expected: 0.35667494393873245 � 3.6e-02 ``` The 10% threshold is...
we're doing the same thing for floats and integers so bool should not be different xref https://github.com/dask-contrib/dask-expr/pull/477
There's been a lot of momentum around [`dask-expr`](https://github.com/dask-contrib/dask-expr) recently and we posted already a couple of blog posts ([introduction](https://blog.dask.org/2023/08/25/dask-expr-introduction) and [tpch benchmarks](https://blog.coiled.io/blog/dask-expr-tpch-dask.html)) that show how this new approach can be...
``` dask scheduler dask worker --dashboard ``` Then navigate to `http://127.0.0.1:8787/info/main/workers.html` and click on dashboard. This should proxy to the worker dashboard but instead it triggers the below exception (with...
I was thinking a little more about how https://github.com/dask/distributed/pull/8430 could be used and ended up wanting to use this for the client as well. (This is also loosely motivated by...
These are a few preliminary fixes which would close #4471. While this does not necessarily account for opportunity cost as I described in https://github.com/dask/distributed/issues/4471#issuecomment-861483765 it still remedies the situation by...
A while ago I read an excellent [blog post about version schemes](https://jacobtomlinson.dev/effver/) that is introducing a version scheme called "Intended Effort Versioning" (EffVer) that I quite like. I'm not particularly...
It's the time of the year again where [NEP29](https://numpy.org/neps/nep-0029-deprecation_policy.html) "allows" us to drop a python version. Numpy already dropped support https://github.com/numpy/numpy/issues/26242 / https://github.com/numpy/numpy/pull/26222 Pandas is still supporting it. The only...