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  • shoyer · 4 ✖

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  • Switch to shared Lock (SerializableLock if possible) for reading/writing · 4 ✖

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  • MEMBER · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
270427441 https://github.com/pydata/xarray/pull/1179#issuecomment-270427441 https://api.github.com/repos/pydata/xarray/issues/1179 MDEyOklzc3VlQ29tbWVudDI3MDQyNzQ0MQ== shoyer 1217238 2017-01-04T17:12:58Z 2017-01-04T17:12:58Z MEMBER

In it goes. We're using conda-forge for all Travis-CI builds now.

 
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   Switch to shared Lock (SerializableLock if possible) for reading/writing 197083082
270289244 https://github.com/pydata/xarray/pull/1179#issuecomment-270289244 https://api.github.com/repos/pydata/xarray/issues/1179 MDEyOklzc3VlQ29tbWVudDI3MDI4OTI0NA== shoyer 1217238 2017-01-04T03:49:17Z 2017-01-04T03:49:17Z MEMBER

Hmm. It looks like we need dask 0.13 in conda to make the distributed integration pass.

 
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   Switch to shared Lock (SerializableLock if possible) for reading/writing 197083082
270194818 https://github.com/pydata/xarray/pull/1179#issuecomment-270194818 https://api.github.com/repos/pydata/xarray/issues/1179 MDEyOklzc3VlQ29tbWVudDI3MDE5NDgxOA== shoyer 1217238 2017-01-03T19:03:22Z 2017-01-03T19:03:22Z MEMBER

I will update the xarray/dask-distributed integration and submit this later today. @rabernat it should solve your issues with to_netcdf.

 
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   Switch to shared Lock (SerializableLock if possible) for reading/writing 197083082
268940513 https://github.com/pydata/xarray/pull/1179#issuecomment-268940513 https://api.github.com/repos/pydata/xarray/issues/1179 MDEyOklzc3VlQ29tbWVudDI2ODk0MDUxMw== shoyer 1217238 2016-12-23T04:51:52Z 2016-12-23T04:51:52Z MEMBER

@mrocklin We could update our dask-distributed integration tests to avoid lock=False, but that will need to wait until the next dask release for tests to pass on CI.

 
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   Switch to shared Lock (SerializableLock if possible) for reading/writing 197083082

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