Added show_commit_url to asv.conf#1515
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This should setup the proper links from the published output to the commit on Github. FYI the benchmarks should be running stably now, and posted to http://pandas.pydata.org/speed/xarray. http://pandas.pydata.org/speed/xarray/regressions.xml has an RSS feed to the regressions.
shoyer
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* Add pathlib support * Loop over tmpfile functions * Added show_commit_url to asv.conf (#1515) * Added show_commit_url to asv.conf This should setup the proper links from the published output to the commit on Github. FYI the benchmarks should be running stably now, and posted to http://pandas.pydata.org/speed/xarray. http://pandas.pydata.org/speed/xarray/regressions.xml has an RSS feed to the regressions. * Update asv.conf.json * Small documentation fixes (#1516) * Clarify in docs that inferring DataArray dimensions is deprecated * Fix DataArray docstring * Clarify DataArray coords documentation * Condense pathlib handling for open_mf_dataset * Add and test pathlib support for backends * Add pathlib2 for python < 3 * Use pathlib backport if available. This follows <jazzband/pathlib2#8 (comment)> who argues for sticking to pathlib2. * Use pathlib w DataArray.to_netcdf * Handle case of completely missing pathlib * Remove pathlib requirement * Drop pathlib from minimal test env * Add what's-new entry on pathlib support * Prefer stdlib pathlib * Suppress ImportError's for pathlib * Acutally get suppress function * Add decorator for tests requiring pathlib(2) * Move path_type to central submodule * Remove unnecessary parens * Revert "Added show_commit_url to asv.conf (#1515)" This reverts commit 02023ed. * Revert "Small documentation fixes (#1516)" This reverts commit 4276bb8. * Fix typo in docstring and fallback-module name * Tweak what's new for pathlib support
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This should setup the proper links from the published output to the commit on Github.
FYI the benchmarks should be running stably now, and posted to http://pandas.pydata.org/speed/xarray. http://pandas.pydata.org/speed/xarray/regressions.xml has an RSS feed to the regressions.