issue_comments: 284914442

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https://github.com/pydata/xarray/issues/1301#issuecomment-284914442 https://api.github.com/repos/pydata/xarray/issues/1301 284914442 MDEyOklzc3VlQ29tbWVudDI4NDkxNDQ0Mg== 2443309 2017-03-08T01:13:35Z 2017-03-08T01:13:35Z MEMBER

This is what I'm seeing for my %prun profiling:

ncalls tottime percall cumtime percall filename:lineno(function) 204 19.783 0.097 19.783 0.097 {method 'acquire' of '_thread.lock' objects} 89208/51003 2.524 0.000 5.553 0.000 indexing.py:361(shape) 1 1.359 1.359 37.876 37.876 <string>:1(<module>) 71379/53550 1.242 0.000 3.266 0.000 utils.py:412(shape) 538295 0.929 0.000 1.317 0.000 {built-in method builtins.isinstance} 24674/13920 0.836 0.000 4.139 0.000 _collections_abc.py:756(update) 9 0.788 0.088 0.803 0.089 netCDF4_.py:178(_open_netcdf4_group)

Weren't there some recent changes to the thread lock related to dask distributed?

 
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