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<h3>
Bas Couwenberg pushed to branch upstream
at <a href="https://salsa.debian.org/debian-gis-team/netcdf4-python">Debian GIS Project / netcdf4-python</a>
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<h4>
Commits:
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<strong><a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d">629b13b4</a></strong>
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<span>by Bas Couwenberg</span>
<i>at 2018-08-15T05:01:43Z</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">New upstream version 1.4.1</pre>
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<h4>10 changed files:</h4>
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<a href="#164b3d4809f98d0458414f1bf9cf3c9dcba16bb5">
Changelog
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<li class="file-stats">
<a href="#7d26833a43d8865f6d9679068f6f9ee7d6e13dcf">
PKG-INFO
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<li class="file-stats">
<a href="#8ec9a00bfd09b3190ac6b22251dbb1aa95a0579d">
README.md
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<a href="#41707387fbcad1abbfca1a8a8a619d2bceb9ac90">
docs/netCDF4/index.html
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<li class="file-stats">
<a href="#3d2c74e73145075ffb254500b1a870de8f5123c9">
netCDF4/_netCDF4.pyx
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<li class="file-stats">
<a href="#8e2edce0d507e1297474f25c00cae94258db38d8">
setup.py
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<li class="file-stats">
<a href="#cce0e403d5031264f192b2c53bfccfa448612bac">
test/tst_cdf5.py
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<a href="#0f872523999e38031c45c351839365e8e4c54c1e">
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+
test/tst_masked6.py
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<li class="file-stats">
<a href="#e33d634c913ce9508e9dcd24565d68cbfd595cd9">
test/tst_multifile.py
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<li class="file-stats">
<a href="#8f2ab30676a26575c7879efa8c07d4ba913aa1d3">
test/tst_multifile2.py
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<h4>Changes:</h4>
<li id="164b3d4809f98d0458414f1bf9cf3c9dcba16bb5">
<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#164b3d4809f98d0458414f1bf9cf3c9dcba16bb5"><strong>Changelog</strong></a>
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<pre style="margin: 0;">-<span id="LC1" class="line" lang="plaintext"> version 1.4.0 (not yet released)</span>
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<pre style="margin: 0;">+<span id="LC1" class="line" lang="plaintext"> version 1.4.1 (tag v1.4.1rel)</span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="plaintext">=============================</span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="plaintext"> * disable workaround for slow nc_get_vars for __netcdflibversion__ >= 4.6.2,</span>
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<pre style="margin: 0;">+<span id="LC4" class="line" lang="plaintext"> since a fix was added to speed up nc_get_vars in the C library. Issue 680.</span>
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<pre style="margin: 0;">+<span id="LC5" class="line" lang="plaintext"> * new Dataset and Variable methods (set_always_mask) to optionally</span>
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<pre style="margin: 0;">+<span id="LC6" class="line" lang="plaintext"> re-enable old behaviour (return masked arrays</span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="plaintext"> only if selected slice contains missing values) (issue #809).</span>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="plaintext"> </span>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="plaintext"> version 1.4.0 (tag v1.4.0rel)</span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="plaintext">=============================</span>
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<pre style="margin: 0;"> <span id="LC11" class="line" lang="plaintext"> * fixed bug in detection of CDF5 library support in setup.py (pull request</span>
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<pre style="margin: 0;"> <span id="LC12" class="line" lang="plaintext"> #736, issue #713).</span>
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<li id="7d26833a43d8865f6d9679068f6f9ee7d6e13dcf">
<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#7d26833a43d8865f6d9679068f6f9ee7d6e13dcf"><strong>PKG-INFO</strong></a>
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">Metadata-Version: 1.1</span>
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<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext">Name: netCDF4</span>
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<pre style="margin: 0;">-<span id="LC3" class="line" lang="plaintext">Version: 1.4.<span class="idiff left right">0</span></span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="plaintext">Version: 1.4.<span class="idiff left right">1</span></span>
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext">Author: Jeff Whitaker</span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="plaintext">Author-email: jeffrey s whitaker at noaa gov</span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext">Home-page: https://github.com/Unidata/netcdf4-python</span>
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<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#8ec9a00bfd09b3190ac6b22251dbb1aa95a0579d"><strong>README.md</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -8,7 +8,11 @@</td>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="markdown"><span class="gu" style="color: #800080; font-weight: 600;">## News</span></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="markdown">For details on the latest updates, see the <span class="p">[</span><span class="nv" style="color: teal;">Changelog</span><span class="p">](</span><span class="sx" style="color: #d14;">https://github.com/Unidata/netcdf4-python/blob/master/Changelog</span><span class="p">)</span>.</span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="markdown"></span>
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<pre style="margin: 0;">-<span id="LC11" class="line" lang="markdown">??/??/2018: Version <span class="p">[</span><span class="nv" style="color: teal;">1.4.0</span><span class="p">](</span><span class="sx" style="color: #d14;">https://pypi.python.org/pypi/netCDF4/1.4.0</span><span class="p">)</span> released. The netcdftime package is no longer</span>
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<pre style="margin: 0;">+<span id="LC11" class="line" lang="markdown">08/10/2018: Version <span class="p">[</span><span class="nv" style="color: teal;">1.4.1</span><span class="p">](</span><span class="sx" style="color: #d14;">https://pypi.python.org/pypi/netCDF4/1.4.1</span><span class="p">)</span> released. The old slicing behavior</span>
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<pre style="margin: 0;">+<span id="LC12" class="line" lang="markdown">(numpy array returned unless missing values are present, otherwise masked array returned) is renabled</span>
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<pre style="margin: 0;">+<span id="LC13" class="line" lang="markdown">via <span class="sb" style="color: #d14;">`set_always_mask(False)`</span>.</span>
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<pre style="margin: 0;">+<span id="LC14" class="line" lang="markdown"></span>
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<pre style="margin: 0;">+<span id="LC15" class="line" lang="markdown">05/11/2018: Version <span class="p">[</span><span class="nv" style="color: teal;">1.4.0</span><span class="p">](</span><span class="sx" style="color: #d14;">https://pypi.python.org/pypi/netCDF4/1.4.0</span><span class="p">)</span> released. The netcdftime package is no longer</span>
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<pre style="margin: 0;"> <span id="LC16" class="line" lang="markdown">included, it is now a separate <span class="p">[</span><span class="nv" style="color: teal;">package</span><span class="p">](</span><span class="sx" style="color: #d14;">https://pypi.python.org/pypi/cftime</span><span class="p">)</span> dependency. In addition to several</span>
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<pre style="margin: 0;"> <span id="LC17" class="line" lang="markdown">bug fixes, there are a few important changes to the default behaviour to note:</span>
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<pre style="margin: 0;"> <span id="LC18" class="line" lang="markdown"><span class="p"> *</span> Slicing a netCDF variable will now always return masked array by default, even if there are no </span>
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<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#41707387fbcad1abbfca1a8a8a619d2bceb9ac90"><strong>docs/netCDF4/index.html</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4,7 +4,7 @@</td>
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="html"> <span class="nt" style="color: navy;"><meta</span> <span class="na" style="color: teal;">name=</span><span class="s" style="color: #d14;">"viewport"</span> <span class="na" style="color: teal;">content=</span><span class="s" style="color: #d14;">"width=device-width, initial-scale=1, minimum-scale=1"</span> <span class="nt" style="color: navy;">/></span></span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="html"></span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="html"> <span class="nt" style="color: navy;"><title></span>netCDF4 API documentation<span class="nt" style="color: navy;"></title></span></span>
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<pre style="margin: 0;">-<span id="LC7" class="line" lang="html"> <span class="nt" style="color: navy;"><meta</span> <span class="na" style="color: teal;">name=</span><span class="s" style="color: #d14;">"description"</span> <span class="na" style="color: teal;">content=</span><span class="s" style="color: #d14;">"Version 1.4.<span class="idiff left right">0</span></span></span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="html"> <span class="nt" style="color: navy;"><meta</span> <span class="na" style="color: teal;">name=</span><span class="s" style="color: #d14;">"description"</span> <span class="na" style="color: teal;">content=</span><span class="s" style="color: #d14;">"Version 1.4.<span class="idiff left right">1</span></span></span>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="html"><span class="s" style="color: #d14;">-------------</span></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="html"><span class="s" style="color: #d14;">- - - </span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1090,6 +1090,7 @@ table {</td>
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1091
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1092
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1094
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<pre style="margin: 0;"> <span id="LC1094" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></a></li></span></span>
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1095
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<pre style="margin: 0;"> <span id="LC1095" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset.set_auto_mask"</span><span class="nt" style="color: navy;">></span>set_auto_mask<span class="nt" style="color: navy;"></a></li></span></span>
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1096
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<pre style="margin: 0;"> <span id="LC1096" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset.set_auto_maskandscale"</span><span class="nt" style="color: navy;">></span>set_auto_maskandscale<span class="nt" style="color: navy;"></a></li></span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1146,6 +1147,7 @@ table {</td>
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<pre style="margin: 0;"> <span id="LC1147" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.renameDimension"</span><span class="nt" style="color: navy;">></span>renameDimension<span class="nt" style="color: navy;"></a></li></span></span>
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1148
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<pre style="margin: 0;"> <span id="LC1148" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.renameGroup"</span><span class="nt" style="color: navy;">></span>renameGroup<span class="nt" style="color: navy;"></a></li></span></span>
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1149
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<pre style="margin: 0;"> <span id="LC1149" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.renameVariable"</span><span class="nt" style="color: navy;">></span>renameVariable<span class="nt" style="color: navy;"></a></li></span></span>
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1150
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<pre style="margin: 0;">+<span id="LC1150" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.set_always_mask"</span><span class="nt" style="color: navy;">></span>set_always_mask<span class="nt" style="color: navy;"></a></li></span></span>
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1151
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<pre style="margin: 0;"> <span id="LC1151" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></a></li></span></span>
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1152
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<pre style="margin: 0;"> <span id="LC1152" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.set_auto_mask"</span><span class="nt" style="color: navy;">></span>set_auto_mask<span class="nt" style="color: navy;"></a></li></span></span>
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1153
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<pre style="margin: 0;"> <span id="LC1153" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group.set_auto_maskandscale"</span><span class="nt" style="color: navy;">></span>set_auto_maskandscale<span class="nt" style="color: navy;"></a></li></span></span>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="1184" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1182,6 +1184,7 @@ table {</td>
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1184
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<pre style="margin: 0;"> <span id="LC1184" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.MFDataset.renameDimension"</span><span class="nt" style="color: navy;">></span>renameDimension<span class="nt" style="color: navy;"></a></li></span></span>
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1185
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<pre style="margin: 0;"> <span id="LC1185" class="line" lang="html"> <span class="nt" style="color: navy;"><li</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"mono"</span><span class="nt" style="color: navy;">><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.MFDataset.renameGroup"</span><span class="nt" style="color: navy;">></span>renameGroup<span class="nt" style="color: navy;"></a></li></span></span>
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1186
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1236,6 +1239,7 @@ table {</td>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1264,7 +1268,7 @@ table {</td>
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<pre style="margin: 0;"> <span id="LC1269" class="line" lang="html"> <span class="nt" style="color: navy;"><header</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"section-intro"</span><span class="nt" style="color: navy;">></span></span>
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<pre style="margin: 0;"> <span id="LC1270" class="line" lang="html"> <span class="nt" style="color: navy;"><h1</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"title"</span><span class="nt" style="color: navy;">><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name"</span><span class="nt" style="color: navy;">></span>netCDF4<span class="nt" style="color: navy;"></span></span> module<span class="nt" style="color: navy;"></h1></span></span>
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<pre style="margin: 0;">-<span id="LC1267" class="line" lang="html"> <span class="nt" style="color: navy;"><h2></span>Version 1.4.<span class="idiff left right">0</span><span class="nt" style="color: navy;"></h2></span></span>
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<pre style="margin: 0;">+<span id="LC1271" class="line" lang="html"> <span class="nt" style="color: navy;"><h2></span>Version 1.4.<span class="idiff left right">1</span><span class="nt" style="color: navy;"></h2></span></span>
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<pre style="margin: 0;"> <span id="LC1273" class="line" lang="html"><span class="nt" style="color: navy;"><h1></span>Introduction<span class="nt" style="color: navy;"></h1></span></span>
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<pre style="margin: 0;"> <span id="LC1274" class="line" lang="html"><span class="nt" style="color: navy;"><p></span>netcdf4-python is a Python interface to the netCDF C library. <span class="nt" style="color: navy;"></p></span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1772,6 +1776,17 @@ Hemisphere longitudes, resulting in a numpy array of shape (3, 3, 36, 71).</p></td>
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<pre style="margin: 0;"> <span id="LC1776" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><em></span>Special note for scalar variables<span class="nt" style="color: navy;"></em></strong></span>: To extract data from a scalar variable</span>
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<pre style="margin: 0;"> <span id="LC1777" class="line" lang="html"><span class="nt" style="color: navy;"><code></span>v<span class="nt" style="color: navy;"></code></span> with no associated dimensions, use <span class="nt" style="color: navy;"><code></span>numpy.asarray(v)<span class="nt" style="color: navy;"></code></span> or <span class="nt" style="color: navy;"><code></span>v[...]<span class="nt" style="color: navy;"></code></span>. The result</span>
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<pre style="margin: 0;"> <span id="LC1778" class="line" lang="html">will be a numpy scalar array.<span class="nt" style="color: navy;"></p></span></span>
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<pre style="margin: 0;">+<span id="LC1779" class="line" lang="html"><span class="nt" style="color: navy;"><p></span>By default, netcdf4-python returns numpy masked arrays with values equal to the</span>
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<pre style="margin: 0;">+<span id="LC1780" class="line" lang="html"><span class="nt" style="color: navy;"><code></span>missing_value<span class="nt" style="color: navy;"></code></span> or <span class="nt" style="color: navy;"><code></span>_FillValue<span class="nt" style="color: navy;"></code></span> variable attributes masked. The</span>
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<pre style="margin: 0;">+<span id="LC1781" class="line" lang="html"><span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset.set_auto_mask"</span><span class="nt" style="color: navy;">><code></span>set_auto_mask<span class="nt" style="color: navy;"></code></a></span> <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset"</span><span class="nt" style="color: navy;">><code></span>Dataset<span class="nt" style="color: navy;"></code></a></span> and <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Variable"</span><span class="nt" style="color: navy;">><code></span>Variable<span class="nt" style="color: navy;"></code></a></span> methods</span>
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<pre style="margin: 0;">+<span id="LC1782" class="line" lang="html">can be used to disable this feature so that</span>
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<pre style="margin: 0;">+<span id="LC1783" class="line" lang="html">numpy arrays are always returned, with the missing values included. Prior to</span>
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<pre style="margin: 0;">+<span id="LC1784" class="line" lang="html">version 1.4.0 the default behavior was to only return masked arrays when the</span>
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<pre style="margin: 0;">+<span id="LC1785" class="line" lang="html">requested slice contained missing values. This behavior can be recovered</span>
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<pre style="margin: 0;">+<span id="LC1786" class="line" lang="html">using the <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset.set_always_mask"</span><span class="nt" style="color: navy;">><code></span>set_always_mask<span class="nt" style="color: navy;"></code></a></span> method. If a masked array is</span>
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<pre style="margin: 0;">+<span id="LC1787" class="line" lang="html">written to a netCDF variable, the masked elements are filled with the</span>
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<pre style="margin: 0;">+<span id="LC1788" class="line" lang="html">value specified by the <span class="nt" style="color: navy;"><code></span>missing_value<span class="nt" style="color: navy;"></code></span> attribute. If the variable has</span>
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<pre style="margin: 0;">+<span id="LC1789" class="line" lang="html">no <span class="nt" style="color: navy;"><code></span>missing_value<span class="nt" style="color: navy;"></code></span>, the <span class="nt" style="color: navy;"><code></span>_FillValue<span class="nt" style="color: navy;"></code></span> is used instead.<span class="nt" style="color: navy;"></p></span></span>
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<pre style="margin: 0;"> <span id="LC1790" class="line" lang="html"><span class="nt" style="color: navy;"><h2><div</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">'section7'</span><span class="nt" style="color: navy;">></span>7) Dealing with time coordinates.<span class="nt" style="color: navy;"></h2></span></span>
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<pre style="margin: 0;"> <span id="LC1791" class="line" lang="html"><span class="nt" style="color: navy;"><p></span>Time coordinate values pose a special challenge to netCDF users. Most</span>
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<pre style="margin: 0;"> <span id="LC1792" class="line" lang="html">metadata standards (such as CF) specify that time should be</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -3291,6 +3306,29 @@ character encoding of a string attribute (default is <code>utf-8</code>).</p></d</td>
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<pre style="margin: 0;"> <span id="LC3306" class="line" lang="html"> </span>
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<pre style="margin: 0;"> <span id="LC3307" class="line" lang="html"> </span>
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3293
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3308
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<pre style="margin: 0;"> <span id="LC3308" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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3309
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<pre style="margin: 0;">+<span id="LC3309" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Dataset.set_always_mask"</span><span class="nt" style="color: navy;">></span></span>
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3310
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<pre style="margin: 0;">+<span id="LC3310" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_always_mask<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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3311
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<pre style="margin: 0;">+<span id="LC3311" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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3312
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<pre style="margin: 0;">+<span id="LC3312" class="line" lang="html"> </span>
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3313
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3314
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<pre style="margin: 0;">+<span id="LC3314" class="line" lang="html"> </span>
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3315
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<pre style="margin: 0;">+<span id="LC3315" class="line" lang="html"> </span>
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3316
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<pre style="margin: 0;">+<span id="LC3316" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"desc"</span><span class="nt" style="color: navy;">><p></span>Call <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Variable.set_always_mask"</span><span class="nt" style="color: navy;">><code></span>set_always_mask<span class="nt" style="color: navy;"></code></a></span> for all variables contained in</span>
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3317
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<pre style="margin: 0;">+<span id="LC3317" class="line" lang="html">this <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset"</span><span class="nt" style="color: navy;">><code></span>Dataset<span class="nt" style="color: navy;"></code></a></span> or <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group"</span><span class="nt" style="color: navy;">><code></span>Group<span class="nt" style="color: navy;"></code></a></span>, as well as for all</span>
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3318
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<pre style="margin: 0;">+<span id="LC3318" class="line" lang="html">variables in all its subgroups.<span class="nt" style="color: navy;"></p></span></span>
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3319
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<pre style="margin: 0;">+<span id="LC3319" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><code></span>True_or_False<span class="nt" style="color: navy;"></code></strong></span>: Boolean determining if automatic conversion of</span>
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3320
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<pre style="margin: 0;">+<span id="LC3320" class="line" lang="html">masked arrays with no missing values to regular ararys shall be</span>
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3321
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<pre style="margin: 0;">+<span id="LC3321" class="line" lang="html">applied for all variables.<span class="nt" style="color: navy;"></p></span></span>
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3322
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<pre style="margin: 0;">+<span id="LC3322" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><em></span>Note<span class="nt" style="color: navy;"></em></strong></span>: Calling this function only affects existing</span>
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3323
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<pre style="margin: 0;">+<span id="LC3323" class="line" lang="html">variables. Variables created after calling this function will follow</span>
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3324
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<pre style="margin: 0;">+<span id="LC3324" class="line" lang="html">the default behaviour.<span class="nt" style="color: navy;"></p></div></span></span>
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3325
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<pre style="margin: 0;">+<span id="LC3325" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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3326
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<pre style="margin: 0;">+<span id="LC3326" class="line" lang="html"><span class="nt" style="color: navy;"></div></span></span>
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3327
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3328
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<pre style="margin: 0;">+<span id="LC3328" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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3329
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3330
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3331
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<pre style="margin: 0;">+<span id="LC3331" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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3294
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3332
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<pre style="margin: 0;"> <span id="LC3332" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Dataset.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span></span>
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3295
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3333
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<pre style="margin: 0;"> <span id="LC3333" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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3296
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3334
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<pre style="margin: 0;"> <span id="LC3334" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4264,6 +4302,29 @@ character encoding of a string attribute (default is <code>utf-8</code>).</p></d</td>
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4264
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4302
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<pre style="margin: 0;"> <span id="LC4302" class="line" lang="html"> </span>
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4265
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4303
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<pre style="margin: 0;"> <span id="LC4303" class="line" lang="html"> </span>
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4266
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4304
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<pre style="margin: 0;"> <span id="LC4304" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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4305
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<pre style="margin: 0;">+<span id="LC4305" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Group.set_always_mask"</span><span class="nt" style="color: navy;">></span></span>
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4306
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<pre style="margin: 0;">+<span id="LC4306" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_always_mask<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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4307
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<pre style="margin: 0;">+<span id="LC4307" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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4308
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<pre style="margin: 0;">+<span id="LC4308" class="line" lang="html"> </span>
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4309
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<pre style="margin: 0;">+<span id="LC4310" class="line" lang="html"> </span>
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4311
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<pre style="margin: 0;">+<span id="LC4311" class="line" lang="html"> </span>
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4312
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<pre style="margin: 0;">+<span id="LC4312" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"desc"</span><span class="nt" style="color: navy;">><p></span>Call <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Variable.set_always_mask"</span><span class="nt" style="color: navy;">><code></span>set_always_mask<span class="nt" style="color: navy;"></code></a></span> for all variables contained in</span>
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4313
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<pre style="margin: 0;">+<span id="LC4313" class="line" lang="html">this <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset"</span><span class="nt" style="color: navy;">><code></span>Dataset<span class="nt" style="color: navy;"></code></a></span> or <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group"</span><span class="nt" style="color: navy;">><code></span>Group<span class="nt" style="color: navy;"></code></a></span>, as well as for all</span>
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4314
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<pre style="margin: 0;">+<span id="LC4314" class="line" lang="html">variables in all its subgroups.<span class="nt" style="color: navy;"></p></span></span>
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4315
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<pre style="margin: 0;">+<span id="LC4315" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><code></span>True_or_False<span class="nt" style="color: navy;"></code></strong></span>: Boolean determining if automatic conversion of</span>
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4316
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<pre style="margin: 0;">+<span id="LC4316" class="line" lang="html">masked arrays with no missing values to regular ararys shall be</span>
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4317
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<pre style="margin: 0;">+<span id="LC4317" class="line" lang="html">applied for all variables.<span class="nt" style="color: navy;"></p></span></span>
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4318
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<pre style="margin: 0;">+<span id="LC4318" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><em></span>Note<span class="nt" style="color: navy;"></em></strong></span>: Calling this function only affects existing</span>
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4319
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<pre style="margin: 0;">+<span id="LC4319" class="line" lang="html">variables. Variables created after calling this function will follow</span>
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4320
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<pre style="margin: 0;">+<span id="LC4320" class="line" lang="html">the default behaviour.<span class="nt" style="color: navy;"></p></div></span></span>
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4321
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<pre style="margin: 0;">+<span id="LC4321" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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4322
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<pre style="margin: 0;">+<span id="LC4322" class="line" lang="html"><span class="nt" style="color: navy;"></div></span></span>
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4323
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<pre style="margin: 0;">+<span id="LC4323" class="line" lang="html"></span>
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4324
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<pre style="margin: 0;">+<span id="LC4324" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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4325
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<pre style="margin: 0;">+<span id="LC4325" class="line" lang="html"> </span>
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4326
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<pre style="margin: 0;">+<span id="LC4326" class="line" lang="html"> </span>
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4327
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<pre style="margin: 0;">+<span id="LC4327" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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4267
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4328
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<pre style="margin: 0;"> <span id="LC4328" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Group.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span></span>
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4268
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4329
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<pre style="margin: 0;"> <span id="LC4329" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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4269
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4330
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<pre style="margin: 0;"> <span id="LC4330" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="5069" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="diff-line-num unfold js-unfold new_line" data-linenumber="5130" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -5069,6 +5130,29 @@ character encoding of a string attribute (default is <code>utf-8</code>).</p></d</td>
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5069
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5130
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<pre style="margin: 0;"> <span id="LC5130" class="line" lang="html"> </span>
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5070
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5131
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<pre style="margin: 0;"> <span id="LC5131" class="line" lang="html"> </span>
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5071
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5132
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<pre style="margin: 0;"> <span id="LC5132" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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5133
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<pre style="margin: 0;">+<span id="LC5133" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.MFDataset.set_always_mask"</span><span class="nt" style="color: navy;">></span></span>
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5134
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<pre style="margin: 0;">+<span id="LC5134" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_always_mask<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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5135
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<pre style="margin: 0;">+<span id="LC5135" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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5136
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<pre style="margin: 0;">+<span id="LC5140" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"desc"</span><span class="nt" style="color: navy;">><p></span>Call <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Variable.set_always_mask"</span><span class="nt" style="color: navy;">><code></span>set_always_mask<span class="nt" style="color: navy;"></code></a></span> for all variables contained in</span>
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5141
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<pre style="margin: 0;">+<span id="LC5141" class="line" lang="html">this <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Dataset"</span><span class="nt" style="color: navy;">><code></span>Dataset<span class="nt" style="color: navy;"></code></a></span> or <span class="nt" style="color: navy;"><a</span> <span class="na" style="color: teal;">href=</span><span class="s" style="color: #d14;">"#netCDF4.Group"</span><span class="nt" style="color: navy;">><code></span>Group<span class="nt" style="color: navy;"></code></a></span>, as well as for all</span>
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5142
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<pre style="margin: 0;">+<span id="LC5142" class="line" lang="html">variables in all its subgroups.<span class="nt" style="color: navy;"></p></span></span>
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5143
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<pre style="margin: 0;">+<span id="LC5143" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><code></span>True_or_False<span class="nt" style="color: navy;"></code></strong></span>: Boolean determining if automatic conversion of</span>
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5144
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<pre style="margin: 0;">+<span id="LC5144" class="line" lang="html">masked arrays with no missing values to regular ararys shall be</span>
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5145
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<pre style="margin: 0;">+<span id="LC5145" class="line" lang="html">applied for all variables.<span class="nt" style="color: navy;"></p></span></span>
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5146
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<pre style="margin: 0;">+<span id="LC5146" class="line" lang="html"><span class="nt" style="color: navy;"><p><strong><em></span>Note<span class="nt" style="color: navy;"></em></strong></span>: Calling this function only affects existing</span>
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5147
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<pre style="margin: 0;">+<span id="LC5147" class="line" lang="html">variables. Variables created after calling this function will follow</span>
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5148
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<pre style="margin: 0;">+<span id="LC5148" class="line" lang="html">the default behaviour.<span class="nt" style="color: navy;"></p></div></span></span>
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5149
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<pre style="margin: 0;">+<span id="LC5149" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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5150
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5151
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5152
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5153
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<pre style="margin: 0;">+<span id="LC5153" class="line" lang="html"> </span>
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5154
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5155
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<pre style="margin: 0;">+<span id="LC5155" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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5072
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5156
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<pre style="margin: 0;"> <span id="LC5156" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.MFDataset.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span></span>
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5073
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5157
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<pre style="margin: 0;"> <span id="LC5157" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self, True_or_False)<span class="nt" style="color: navy;"></p></span></span>
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5074
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5158
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -5542,6 +5626,16 @@ behavior is similar to Fortran or Matlab, but different than numpy.</p></td>
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5542
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5626
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<pre style="margin: 0;"> <span id="LC5626" class="line" lang="html"> <span class="nt" style="color: navy;"></ul></span></span>
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5543
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5627
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<pre style="margin: 0;"> <span id="LC5627" class="line" lang="html"> <span class="nt" style="color: navy;"><h3></span>Class variables<span class="nt" style="color: navy;"></h3></span></span>
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5544
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5628
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<pre style="margin: 0;"> <span id="LC5628" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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5629
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<pre style="margin: 0;">+<span id="LC5629" class="line" lang="html"> <span class="nt" style="color: navy;"><p</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Variable.always_mask"</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name"</span><span class="nt" style="color: navy;">></span>var <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>always_mask<span class="nt" style="color: navy;"></span></p></span></span>
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5630
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5633
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5634
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<pre style="margin: 0;">+<span id="LC5634" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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5635
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<pre style="margin: 0;">+<span id="LC5635" class="line" lang="html"><span class="nt" style="color: navy;"></div></span></span>
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5637
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5638
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<pre style="margin: 0;">+<span id="LC5638" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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5545
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5639
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<pre style="margin: 0;"> <span id="LC5639" class="line" lang="html"> <span class="nt" style="color: navy;"><p</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Variable.chartostring"</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name"</span><span class="nt" style="color: navy;">></span>var <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>chartostring<span class="nt" style="color: navy;"></span></p></span></span>
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5546
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5640
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5547
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5641
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="5928" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -5928,6 +6022,26 @@ character encoding of a string attribute (default is <code>utf-8</code>).</p></d</td>
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5928
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6022
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<pre style="margin: 0;"> <span id="LC6022" class="line" lang="html"> </span>
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5929
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6023
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<pre style="margin: 0;"> <span id="LC6023" class="line" lang="html"> </span>
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5930
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6024
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<pre style="margin: 0;"> <span id="LC6024" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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6025
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<pre style="margin: 0;">+<span id="LC6025" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Variable.set_always_mask"</span><span class="nt" style="color: navy;">></span></span>
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6026
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<pre style="margin: 0;">+<span id="LC6026" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_always_mask<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self,always_mask)<span class="nt" style="color: navy;"></p></span></span>
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6027
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<pre style="margin: 0;">+<span id="LC6027" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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6028
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6031
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<pre style="margin: 0;">+<span id="LC6031" class="line" lang="html"> </span>
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6032
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<pre style="margin: 0;">+<span id="LC6032" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"desc"</span><span class="nt" style="color: navy;">><p></span>turn on or off conversion of data without missing values to regular</span>
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6033
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<pre style="margin: 0;">+<span id="LC6033" class="line" lang="html">numpy arrays.<span class="nt" style="color: navy;"></p></span></span>
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6034
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<pre style="margin: 0;">+<span id="LC6034" class="line" lang="html"><span class="nt" style="color: navy;"><p></span>If <span class="nt" style="color: navy;"><code></span>always_mask<span class="nt" style="color: navy;"></code></span> is set to <span class="nt" style="color: navy;"><code></span>True<span class="nt" style="color: navy;"></code></span> then a masked array with no missing</span>
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6035
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<pre style="margin: 0;">+<span id="LC6035" class="line" lang="html">values is converted to a regular numpy array.<span class="nt" style="color: navy;"></p></span></span>
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6036
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<pre style="margin: 0;">+<span id="LC6036" class="line" lang="html"><span class="nt" style="color: navy;"><p></span>The default value of <span class="nt" style="color: navy;"><code></span>always_mask<span class="nt" style="color: navy;"></code></span> is <span class="nt" style="color: navy;"><code></span>True<span class="nt" style="color: navy;"></code></span> (conversions to regular</span>
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6037
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<pre style="margin: 0;">+<span id="LC6037" class="line" lang="html">numpy arrays are not performed).<span class="nt" style="color: navy;"></p></div></span></span>
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6038
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<pre style="margin: 0;">+<span id="LC6038" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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6039
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<pre style="margin: 0;">+<span id="LC6039" class="line" lang="html"><span class="nt" style="color: navy;"></div></span></span>
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6040
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6041
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<pre style="margin: 0;">+<span id="LC6041" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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6042
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<pre style="margin: 0;">+<span id="LC6042" class="line" lang="html"> </span>
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6043
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<pre style="margin: 0;">+<span id="LC6043" class="line" lang="html"> </span>
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6044
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<pre style="margin: 0;">+<span id="LC6044" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"item"</span><span class="nt" style="color: navy;">></span></span>
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5931
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6045
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<pre style="margin: 0;"> <span id="LC6045" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"name def"</span> <span class="na" style="color: teal;">id=</span><span class="s" style="color: #d14;">"netCDF4.Variable.set_auto_chartostring"</span><span class="nt" style="color: navy;">></span></span>
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5932
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6046
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<pre style="margin: 0;"> <span id="LC6046" class="line" lang="html"> <span class="nt" style="color: navy;"><p></span>def <span class="nt" style="color: navy;"><span</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"ident"</span><span class="nt" style="color: navy;">></span>set_auto_chartostring<span class="nt" style="color: navy;"></span></span>(<span class="nt" style="color: navy;"></p><p></span>self,chartostring)<span class="nt" style="color: navy;"></p></span></span>
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6047
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<pre style="margin: 0;"> <span id="LC6047" class="line" lang="html"> <span class="nt" style="color: navy;"></div></span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -6184,8 +6298,9 @@ each attribute</p></div></td>
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6184
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6298
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<pre style="margin: 0;"> <span id="LC6298" class="line" lang="html"> </span>
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6185
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6299
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<pre style="margin: 0;"> <span id="LC6299" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"desc"</span><span class="nt" style="color: navy;">><p></span>enable the use of netcdf library routine <span class="nt" style="color: navy;"><code></span>nc_get_vars<span class="nt" style="color: navy;"></code></span></span>
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6186
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<pre style="margin: 0;"> <span id="LC6300" class="line" lang="html">to retrieve strided variable slices. By default,</span>
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6187
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<pre style="margin: 0;">-<span id="LC6187" class="line" lang="html"><span class="nt" style="color: navy;"><code></span>nc_get_vars<span class="nt" style="color: navy;"></code></span> not used since it slower than multiple calls</span>
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6188
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<pre style="margin: 0;">-<span id="LC6188" class="line" lang="html">to the unstrided read routine <span class="nt" style="color: navy;"><code></span>nc_get_vara<span class="nt" style="color: navy;"></code></span> in most cases.<span class="nt" style="color: navy;"></p></div></span></span>
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6301
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<pre style="margin: 0;">+<span id="LC6301" class="line" lang="html"><span class="nt" style="color: navy;"><code></span>nc_get_vars<span class="nt" style="color: navy;"></code></span> may not used by default (depending on the</span>
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6302
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<pre style="margin: 0;">+<span id="LC6302" class="line" lang="html">version of the netcdf-c library being used) since it may be</span>
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6303
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<pre style="margin: 0;">+<span id="LC6303" class="line" lang="html">slower than multiple calls to the unstrided read routine <span class="nt" style="color: navy;"><code></span>nc_get_vara<span class="nt" style="color: navy;"></code></span>.<span class="nt" style="color: navy;"></p></div></span></span>
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6304
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<pre style="margin: 0;"> <span id="LC6304" class="line" lang="html"> <span class="nt" style="color: navy;"><div</span> <span class="na" style="color: teal;">class=</span><span class="s" style="color: #d14;">"source_cont"</span><span class="nt" style="color: navy;">></span></span>
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6190
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6305
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<pre style="margin: 0;"> <span id="LC6305" class="line" lang="html"><span class="nt" style="color: navy;"></div></span></span>
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6191
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6306
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">"""</span>
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<pre style="margin: 0;">-<span id="LC2" class="line" lang="plaintext">Version 1.4.<span class="idiff left right">0</span></span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="plaintext">Version 1.4.<span class="idiff left right">1</span></span>
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3
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<pre style="margin: 0;"> <span id="LC3" class="line" lang="plaintext">-------------</span>
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext">- - - </span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="plaintext"></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -539,6 +539,18 @@ Hemisphere longitudes, resulting in a numpy array of shape (3, 3, 36, 71).</td>
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<pre style="margin: 0;"> <span id="LC539" class="line" lang="plaintext">`v` with no associated dimensions, use `numpy.asarray(v)` or `v[...]`. The result</span>
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<pre style="margin: 0;"> <span id="LC540" class="line" lang="plaintext">will be a numpy scalar array.</span>
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541
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<pre style="margin: 0;"> <span id="LC541" class="line" lang="plaintext"></span>
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<pre style="margin: 0;">+<span id="LC542" class="line" lang="plaintext">By default, netcdf4-python returns numpy masked arrays with values equal to the</span>
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<pre style="margin: 0;">+<span id="LC543" class="line" lang="plaintext">`missing_value` or `_FillValue` variable attributes masked. The</span>
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<pre style="margin: 0;">+<span id="LC544" class="line" lang="plaintext">`netCDF4.Dataset.set_auto_mask` `netCDF4.Dataset` and `netCDF4.Variable` methods</span>
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<pre style="margin: 0;">+<span id="LC545" class="line" lang="plaintext">can be used to disable this feature so that</span>
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<pre style="margin: 0;">+<span id="LC546" class="line" lang="plaintext">numpy arrays are always returned, with the missing values included. Prior to</span>
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<pre style="margin: 0;">+<span id="LC547" class="line" lang="plaintext">version 1.4.0 the default behavior was to only return masked arrays when the</span>
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<pre style="margin: 0;">+<span id="LC548" class="line" lang="plaintext">requested slice contained missing values. This behavior can be recovered</span>
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<pre style="margin: 0;">+<span id="LC549" class="line" lang="plaintext">using the `netCDF4.Dataset.set_always_mask` method. If a masked array is</span>
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<pre style="margin: 0;">+<span id="LC550" class="line" lang="plaintext">written to a netCDF variable, the masked elements are filled with the</span>
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<pre style="margin: 0;">+<span id="LC551" class="line" lang="plaintext">value specified by the `missing_value` attribute. If the variable has</span>
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<pre style="margin: 0;">+<span id="LC552" class="line" lang="plaintext">no `missing_value`, the `_FillValue` is used instead.</span>
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553
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<pre style="margin: 0;">+<span id="LC553" class="line" lang="plaintext"></span>
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542
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554
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<pre style="margin: 0;"> <span id="LC554" class="line" lang="plaintext">## <div id='section7'>7) Dealing with time coordinates.</span>
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543
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555
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<pre style="margin: 0;"> <span id="LC555" class="line" lang="plaintext"></span>
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544
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556
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<pre style="margin: 0;"> <span id="LC556" class="line" lang="plaintext">Time coordinate values pose a special challenge to netCDF users. Most</span>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="1104" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1092,7 +1104,7 @@ except ImportError:</td>
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1092
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1104
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<pre style="margin: 0;"> <span id="LC1104" class="line" lang="plaintext"> # python3: zip is already python2's itertools.izip</span>
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1093
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1105
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<pre style="margin: 0;"> <span id="LC1105" class="line" lang="plaintext"> pass</span>
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1094
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1106
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<pre style="margin: 0;"> <span id="LC1106" class="line" lang="plaintext"></span>
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1095
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<pre style="margin: 0;">-<span id="LC1095" class="line" lang="plaintext">__version__ = "1.4.<span class="idiff left right">0</span>"</span>
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1107
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<pre style="margin: 0;">+<span id="LC1107" class="line" lang="plaintext">__version__ = "1.4.<span class="idiff left right">1</span>"</span>
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1096
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1108
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<pre style="margin: 0;"> <span id="LC1108" class="line" lang="plaintext"></span>
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1109
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<pre style="margin: 0;"> <span id="LC1109" class="line" lang="plaintext"># Initialize numpy</span>
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1098
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1110
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<pre style="margin: 0;"> <span id="LC1110" class="line" lang="plaintext">import posixpath</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -1470,7 +1482,7 @@ cdef _set_att(grp, int varid, name, value,\</td>
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1470
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1482
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<pre style="margin: 0;"> <span id="LC1482" class="line" lang="plaintext"> if value_arr.dtype.kind == 'V': # compound attribute.</span>
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1471
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1483
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<pre style="margin: 0;"> <span id="LC1483" class="line" lang="plaintext"> xtype = _find_cmptype(grp,value_arr.dtype)</span>
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1472
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1484
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<pre style="margin: 0;"> <span id="LC1484" class="line" lang="plaintext"> elif value_arr.dtype.str[1:] not in _supportedtypes:</span>
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1473
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<pre style="margin: 0;">-<span id="LC1473" class="line" lang="plaintext"> raise TypeError, 'illegal data type for attribute<span class="idiff left right">, must be one of %s, got %s' % (</span>_supportedtypes, value_arr.dtype.str[1:])</span>
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1485
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<pre style="margin: 0;">+<span id="LC1485" class="line" lang="plaintext"> raise TypeError, 'illegal data type for attribute<span class="idiff left right"> %r, must be one of %s, got %s' % (attname, </span>_supportedtypes, value_arr.dtype.str[1:])</span>
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1474
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1486
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<pre style="margin: 0;"> <span id="LC1486" class="line" lang="plaintext"> elif xtype == -99: # if xtype is not passed in as kwarg.</span>
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1475
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<pre style="margin: 0;"> <span id="LC1487" class="line" lang="plaintext"> xtype = _nptonctype[value_arr.dtype.str[1:]]</span>
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1476
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1488
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<pre style="margin: 0;"> <span id="LC1488" class="line" lang="plaintext"> lenarr = PyArray_SIZE(value_arr)</span>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="2852" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -2840,6 +2852,31 @@ after calling this function will follow the default behaviour.</td>
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2840
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<td class="diff-line-num new_line" data-linenumber="2852" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
2852
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<pre style="margin: 0;"> <span id="LC2852" class="line" lang="plaintext"> for var in group.variables.values():</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="2841" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
2841
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<td class="diff-line-num new_line" data-linenumber="2853" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
2853
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<pre style="margin: 0;"> <span id="LC2853" class="line" lang="plaintext"> var.set_auto_scale(value)</span>
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2842
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<td class="diff-line-num new_line" data-linenumber="2854" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
2854
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<pre style="margin: 0;"> <span id="LC2854" class="line" lang="plaintext"></span>
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<td class="diff-line-num new new_line" data-linenumber="2855" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2855
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<pre style="margin: 0;">+<span id="LC2855" class="line" lang="plaintext"> def set_always_mask(self, value):</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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2856
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<pre style="margin: 0;">+<span id="LC2856" class="line" lang="plaintext"> """</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2857" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2857
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<pre style="margin: 0;">+<span id="LC2857" class="line" lang="plaintext">**`set_always_mask(self, True_or_False)`**</span>
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<td class="diff-line-num new new_line" data-linenumber="2858" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2858
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<pre style="margin: 0;">+<span id="LC2858" class="line" lang="plaintext"></span>
</pre>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2859" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2859
</td>
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<pre style="margin: 0;">+<span id="LC2859" class="line" lang="plaintext">Call `netCDF4.Variable.set_always_mask` for all variables contained in</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2860" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2860
</td>
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<pre style="margin: 0;">+<span id="LC2860" class="line" lang="plaintext">this `netCDF4.Dataset` or `netCDF4.Group`, as well as for all</span>
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<td class="diff-line-num new new_line" data-linenumber="2861" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2861
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<pre style="margin: 0;">+<span id="LC2861" class="line" lang="plaintext">variables in all its subgroups.</span>
</pre>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2862" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2862
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<pre style="margin: 0;">+<span id="LC2862" class="line" lang="plaintext"></span>
</pre>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2863" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2863
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<pre style="margin: 0;">+<span id="LC2863" class="line" lang="plaintext">**`True_or_False`**: Boolean determining if automatic conversion of</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2864" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2864
</td>
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<pre style="margin: 0;">+<span id="LC2864" class="line" lang="plaintext">masked arrays with no missing values to regular ararys shall be</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2865" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2865
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<pre style="margin: 0;">+<span id="LC2865" class="line" lang="plaintext">applied for all variables.</span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2866" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2866
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<pre style="margin: 0;">+<span id="LC2866" class="line" lang="plaintext"></span>
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<td class="diff-line-num new old_line" data-linenumber="2843" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="2867" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2867
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<pre style="margin: 0;">+<span id="LC2867" class="line" lang="plaintext">***Note***: Calling this function only affects existing</span>
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<td class="diff-line-num new new_line" data-linenumber="2868" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2868
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<pre style="margin: 0;">+<span id="LC2868" class="line" lang="plaintext">variables. Variables created after calling this function will follow</span>
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<td class="diff-line-num new new_line" data-linenumber="2869" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
2869
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<pre style="margin: 0;">+<span id="LC2869" class="line" lang="plaintext">the default behaviour.</span>
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2870
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<pre style="margin: 0;">+<span id="LC2870" class="line" lang="plaintext"> """</span>
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2871
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<pre style="margin: 0;">+<span id="LC2871" class="line" lang="plaintext"></span>
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2872
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<pre style="margin: 0;">+<span id="LC2872" class="line" lang="plaintext"> for var in self.variables.values():</span>
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2873
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<pre style="margin: 0;">+<span id="LC2873" class="line" lang="plaintext"> var.set_always_mask(value)</span>
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2874
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<pre style="margin: 0;">+<span id="LC2874" class="line" lang="plaintext"></span>
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2875
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<pre style="margin: 0;">+<span id="LC2875" class="line" lang="plaintext"> for groups in _walk_grps(self):</span>
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2876
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<pre style="margin: 0;">+<span id="LC2876" class="line" lang="plaintext"> for group in groups:</span>
</pre>
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2877
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<pre style="margin: 0;">+<span id="LC2877" class="line" lang="plaintext"> for var in group.variables.values():</span>
</pre>
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<pre style="margin: 0;">+<span id="LC2878" class="line" lang="plaintext"> var.set_always_mask(value)</span>
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2879
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<pre style="margin: 0;">+<span id="LC2879" class="line" lang="plaintext"></span>
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2880
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<pre style="margin: 0;"> <span id="LC2880" class="line" lang="plaintext"> def get_variables_by_attributes(self, **kwargs):</span>
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2844
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2881
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<pre style="margin: 0;"> <span id="LC2881" class="line" lang="plaintext"> """</span>
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2845
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2882
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<pre style="margin: 0;"> <span id="LC2882" class="line" lang="plaintext">**`get_variables_by_attribute(self, **kwargs)`**</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -3200,8 +3237,8 @@ behavior is similar to Fortran or Matlab, but different than numpy.</td>
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3200
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3237
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<pre style="margin: 0;"> <span id="LC3237" class="line" lang="plaintext">**`size`**: The number of stored elements.</span>
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3201
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3238
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<pre style="margin: 0;"> <span id="LC3238" class="line" lang="plaintext"> """</span>
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3202
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3239
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<pre style="margin: 0;"> <span id="LC3239" class="line" lang="plaintext"> cdef public int _varid, _grpid, _nunlimdim</span>
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3203
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<pre style="margin: 0;">-<span id="LC3203" class="line" lang="plaintext"> cdef public _name, ndim, dtype, mask, scale, <span class="idiff left right">chartostring, _isprimitive, _iscompound,</span>\</span>
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3204
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<pre style="margin: 0;">-<span id="LC3204" class="line" lang="plaintext"> _isvlen, _isenum, _grp, _cmptype, _vltype, _enumtype,\</span>
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3240
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<pre style="margin: 0;">+<span id="LC3240" class="line" lang="plaintext"> cdef public _name, ndim, dtype, mask, scale, <span class="idiff left right">always_mask, chartostring, _isprimitive, </span>\</span>
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3241
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<pre style="margin: 0;">+<span id="LC3241" class="line" lang="plaintext"> _is<span class="idiff left right">compound, _is</span>vlen, _isenum, _grp, _cmptype, _vltype, _enumtype,\</span>
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3242
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<pre style="margin: 0;"> <span id="LC3242" class="line" lang="plaintext"> __orthogonal_indexing__, _has_lsd, _no_get_vars</span>
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3206
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3243
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<pre style="margin: 0;"> <span id="LC3243" class="line" lang="plaintext"> # Docstrings for class variables (used by pdoc).</span>
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3207
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3244
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<pre style="margin: 0;"> <span id="LC3244" class="line" lang="plaintext"> __pdoc__['Variable.dimensions'] = \</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -3600,13 +3637,21 @@ behavior is similar to Fortran or Matlab, but different than numpy.</td>
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3600
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3637
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<pre style="margin: 0;"> <span id="LC3637" class="line" lang="plaintext"> # add_offset, and converting to/from masked arrays is True.</span>
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3638
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<pre style="margin: 0;"> <span id="LC3638" class="line" lang="plaintext"> self.scale = True</span>
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3639
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<pre style="margin: 0;"> <span id="LC3639" class="line" lang="plaintext"> self.mask = True</span>
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3640
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<pre style="margin: 0;">+<span id="LC3640" class="line" lang="plaintext"> # issue 809: default for converting arrays with no missing values to</span>
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3641
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<pre style="margin: 0;">+<span id="LC3641" class="line" lang="plaintext"> # regular numpy arrays</span>
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3642
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<pre style="margin: 0;">+<span id="LC3642" class="line" lang="plaintext"> self.always_mask = True</span>
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3603
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3643
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<pre style="margin: 0;"> <span id="LC3643" class="line" lang="plaintext"> # default is to automatically convert to/from character</span>
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3604
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3644
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<pre style="margin: 0;"> <span id="LC3644" class="line" lang="plaintext"> # to string arrays when _Encoding variable attribute is set.</span>
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3605
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3645
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<pre style="margin: 0;"> <span id="LC3645" class="line" lang="plaintext"> self.chartostring = True</span>
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3606
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3646
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<pre style="margin: 0;"> <span id="LC3646" class="line" lang="plaintext"> if 'least_significant_digit' in self.ncattrs():</span>
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3607
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3647
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<pre style="margin: 0;"> <span id="LC3647" class="line" lang="plaintext"> self._has_lsd = True</span>
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3608
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<td class="diff-line-num new_line" data-linenumber="3648" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3648
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<pre style="margin: 0;"> <span id="LC3648" class="line" lang="plaintext"> # avoid calling nc_get_vars for strided slices by default.</span>
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3609
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<td class="diff-line-num new_line old" data-linenumber="3649" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
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<pre style="margin: 0;">-<span id="LC3609" class="line" lang="plaintext"> self._no_get_vars = True</span>
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<td class="diff-line-num new old_line" data-linenumber="3610" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="3649" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3649
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<pre style="margin: 0;">+<span id="LC3649" class="line" lang="plaintext"> # a fix for strided slice access using HDF5 was added</span>
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<td class="diff-line-num new new_line" data-linenumber="3650" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3650
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<pre style="margin: 0;">+<span id="LC3650" class="line" lang="plaintext"> # in 4.6.2.</span>
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<td class="diff-line-num new new_line" data-linenumber="3651" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3651
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<pre style="margin: 0;">+<span id="LC3651" class="line" lang="plaintext"> if __netcdf4libversion__ >= "4.6.2":</span>
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<td class="diff-line-num new old_line" data-linenumber="3610" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="3652" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3652
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<pre style="margin: 0;">+<span id="LC3652" class="line" lang="plaintext"> self._no_get_vars = False</span>
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<td class="diff-line-num new old_line" data-linenumber="3610" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="3653" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3653
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<pre style="margin: 0;">+<span id="LC3653" class="line" lang="plaintext"> else:</span>
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<td class="diff-line-num new old_line" data-linenumber="3610" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="3654" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
3654
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<pre style="margin: 0;">+<span id="LC3654" class="line" lang="plaintext"> self._no_get_vars = True</span>
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<td class="diff-line-num old_line" data-linenumber="3610" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3610
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3655
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<pre style="margin: 0;"> <span id="LC3655" class="line" lang="plaintext"></span>
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<td class="diff-line-num old_line" data-linenumber="3611" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3611
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<td class="diff-line-num new_line" data-linenumber="3656" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3656
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<td class="line_content noteable_line" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC3656" class="line" lang="plaintext"> def __array__(self):</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="3612" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3612
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<td class="diff-line-num new_line" data-linenumber="3657" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
3657
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<td class="line_content noteable_line" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC3657" class="line" lang="plaintext"> # numpy special method that returns a numpy array.</span>
</pre>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="4290" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="diff-line-num unfold js-unfold new_line" data-linenumber="4335" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4290,12 +4335,12 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""</td>
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4290
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<td class="diff-line-num new_line" data-linenumber="4335" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4335
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<pre style="margin: 0;"> <span id="LC4335" class="line" lang="plaintext"> if fill_value is None:</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="4291" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4291
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<td class="diff-line-num new_line" data-linenumber="4336" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4336
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<td class="line_content noteable_line" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC4336" class="line" lang="plaintext"> fill_value = default_fillvals[self.dtype.str[1:]]</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="4292" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4292
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<td class="diff-line-num new_line" data-linenumber="4337" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4337
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<pre style="margin: 0;"> <span id="LC4337" class="line" lang="plaintext"> # create masked array with computed mask</span>
</pre>
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<td class="diff-line-num old old_line" data-linenumber="4293" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
4293
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<td class="diff-line-num new_line old" data-linenumber="4338" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
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<pre style="margin: 0;">-<span id="LC4293" class="line" lang="plaintext"> if totalmask.any():</span>
</pre>
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4338
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<pre style="margin: 0;">+<span id="LC4338" class="line" lang="plaintext"> masked_values = bool(totalmask.any())</span>
</pre>
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<td class="diff-line-num new new_line" data-linenumber="4339" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
4339
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<pre style="margin: 0;">+<span id="LC4339" class="line" lang="plaintext"> if masked_values:</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="4294" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4294
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<td class="diff-line-num new_line" data-linenumber="4340" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4340
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<pre style="margin: 0;"> <span id="LC4340" class="line" lang="plaintext"> data = ma.masked_array(data,mask=totalmask,fill_value=fill_value)</span>
</pre>
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4295
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<td class="diff-line-num new_line" data-linenumber="4341" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4341
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<pre style="margin: 0;"> <span id="LC4341" class="line" lang="plaintext"> else:</span>
</pre>
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<td class="diff-line-num old_line" data-linenumber="4296" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4296
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<td class="diff-line-num new_line" data-linenumber="4342" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
4342
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<pre style="margin: 0;"> <span id="LC4342" class="line" lang="plaintext"> # issue #785: always return masked array, if no values masked</span>
</pre>
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<td class="diff-line-num old old_line" data-linenumber="4297" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
4297
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<td class="diff-line-num new_line old" data-linenumber="4343" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
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<pre style="margin: 0;">-<span id="LC4297" class="line" lang="plaintext"> # set mask=False.</span>
</pre>
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<td class="diff-line-num old old_line" data-linenumber="4298" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
4298
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<td class="diff-line-num new_line old" data-linenumber="4343" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
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<pre style="margin: 0;">-<span id="LC4298" class="line" lang="plaintext"> data = ma.masked_array(data,mask=False,fill_value=fill_value)</span>
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4343
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<pre style="margin: 0;">+<span id="LC4343" class="line" lang="plaintext"> data = ma.masked_array(data)</span>
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4299
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4344
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<pre style="margin: 0;"> <span id="LC4344" class="line" lang="plaintext"> # issue 515 scalar array with mask=True should be converted</span>
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4300
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4345
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<pre style="margin: 0;"> <span id="LC4345" class="line" lang="plaintext"> # to numpy.ma.MaskedConstant to be consistent with slicing</span>
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4301
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4346
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<pre style="margin: 0;"> <span id="LC4346" class="line" lang="plaintext"> # behavior of masked arrays.</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4303,6 +4348,11 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""</td>
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4303
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4348
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<pre style="margin: 0;"> <span id="LC4348" class="line" lang="plaintext"> # return a scalar numpy masked constant not a 0-d masked array,</span>
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4304
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4349
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<pre style="margin: 0;"> <span id="LC4349" class="line" lang="plaintext"> # so that data == numpy.ma.masked.</span>
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4305
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4350
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<pre style="margin: 0;"> <span id="LC4350" class="line" lang="plaintext"> data = data[()] # changed from [...] (issue #662)</span>
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4351
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<pre style="margin: 0;">+<span id="LC4351" class="line" lang="plaintext"> elif not self.always_mask and not masked_values:</span>
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4352
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<pre style="margin: 0;">+<span id="LC4352" class="line" lang="plaintext"> # issue #809: return a regular numpy array if requested</span>
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4353
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<pre style="margin: 0;">+<span id="LC4353" class="line" lang="plaintext"> # and there are no missing values</span>
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4354
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<pre style="margin: 0;">+<span id="LC4354" class="line" lang="plaintext"> data = numpy.array(data, copy=False)</span>
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4355
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<pre style="margin: 0;">+<span id="LC4355" class="line" lang="plaintext"> </span>
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4306
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4356
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<pre style="margin: 0;"> <span id="LC4356" class="line" lang="plaintext"> return data</span>
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4307
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4357
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<pre style="margin: 0;"> <span id="LC4357" class="line" lang="plaintext"></span>
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4308
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4358
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<pre style="margin: 0;"> <span id="LC4358" class="line" lang="plaintext"> def _assign_vlen(self, elem, data):</span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4634,8 +4684,9 @@ The default value of `chartostring` is `True`</td>
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4634
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4684
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<pre style="margin: 0;"> <span id="LC4684" class="line" lang="plaintext"></span>
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4635
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4685
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<pre style="margin: 0;"> <span id="LC4685" class="line" lang="plaintext">enable the use of netcdf library routine `nc_get_vars`</span>
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4636
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4686
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<pre style="margin: 0;"> <span id="LC4686" class="line" lang="plaintext">to retrieve strided variable slices. By default,</span>
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4637
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<pre style="margin: 0;">-<span id="LC4637" class="line" lang="plaintext">`nc_get_vars` not used since it slower than multiple calls</span>
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4638
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<pre style="margin: 0;">-<span id="LC4638" class="line" lang="plaintext">to the unstrided read routine `nc_get_vara` in most cases.</span>
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4687
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<pre style="margin: 0;">+<span id="LC4687" class="line" lang="plaintext">`nc_get_vars` may not used by default (depending on the</span>
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4688
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<pre style="margin: 0;">+<span id="LC4688" class="line" lang="plaintext">version of the netcdf-c library being used) since it may be</span>
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4689
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<pre style="margin: 0;">+<span id="LC4689" class="line" lang="plaintext">slower than multiple calls to the unstrided read routine `nc_get_vara`.</span>
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4639
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4690
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<pre style="margin: 0;"> <span id="LC4690" class="line" lang="plaintext"> """</span>
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4640
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4691
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<pre style="margin: 0;"> <span id="LC4691" class="line" lang="plaintext"> self._no_get_vars = not bool(use_nc_get_vars)</span>
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4692
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<pre style="margin: 0;"> <span id="LC4692" class="line" lang="plaintext"> </span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4757,6 +4808,21 @@ The default value of `mask` is `True`</td>
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4757
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4808
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<pre style="margin: 0;"> <span id="LC4808" class="line" lang="plaintext"> """</span>
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4758
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<pre style="margin: 0;"> <span id="LC4809" class="line" lang="plaintext"> self.mask = bool(mask)</span>
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4759
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4810
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<pre style="margin: 0;"> <span id="LC4810" class="line" lang="plaintext"> </span>
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4811
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<pre style="margin: 0;">+<span id="LC4811" class="line" lang="plaintext"> def set_always_mask(self,always_mask):</span>
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4812
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<pre style="margin: 0;">+<span id="LC4812" class="line" lang="plaintext"> """</span>
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4813
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<pre style="margin: 0;">+<span id="LC4813" class="line" lang="plaintext">**`set_always_mask(self,always_mask)`**</span>
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4814
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<pre style="margin: 0;">+<span id="LC4814" class="line" lang="plaintext"></span>
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4815
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<pre style="margin: 0;">+<span id="LC4815" class="line" lang="plaintext">turn on or off conversion of data without missing values to regular</span>
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4816
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<pre style="margin: 0;">+<span id="LC4816" class="line" lang="plaintext">numpy arrays.</span>
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<pre style="margin: 0;">+<span id="LC4817" class="line" lang="plaintext"></span>
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<pre style="margin: 0;">+<span id="LC4818" class="line" lang="plaintext">If `always_mask` is set to `True` then a masked array with no missing</span>
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<pre style="margin: 0;">+<span id="LC4819" class="line" lang="plaintext">values is converted to a regular numpy array.</span>
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<pre style="margin: 0;">+<span id="LC4820" class="line" lang="plaintext"></span>
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4821
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<pre style="margin: 0;">+<span id="LC4821" class="line" lang="plaintext">The default value of `always_mask` is `True` (conversions to regular</span>
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<pre style="margin: 0;">+<span id="LC4822" class="line" lang="plaintext">numpy arrays are not performed).</span>
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4823
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<pre style="margin: 0;">+<span id="LC4823" class="line" lang="plaintext"></span>
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4824
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<pre style="margin: 0;">+<span id="LC4824" class="line" lang="plaintext"> """</span>
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4825
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<pre style="margin: 0;">+<span id="LC4825" class="line" lang="plaintext"> self.always_mask = bool(always_mask)</span>
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4760
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4826
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<pre style="margin: 0;"> <span id="LC4826" class="line" lang="plaintext"></span>
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4761
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4827
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<pre style="margin: 0;"> <span id="LC4827" class="line" lang="plaintext"> def _put(self,ndarray data,start,count,stride):</span>
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4762
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4828
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<pre style="margin: 0;"> <span id="LC4828" class="line" lang="plaintext"> """Private method to put data into a netCDF variable"""</span>
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<li id="8e2edce0d507e1297474f25c00cae94258db38d8">
<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#8e2edce0d507e1297474f25c00cae94258db38d8"><strong>setup.py</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -553,7 +553,7 @@ else:</td>
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<pre style="margin: 0;"> <span id="LC553" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC554" class="line" lang="python"><span class="n" style="color: #333;">setup</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"netCDF4"</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC555" class="line" lang="python"> <span class="n" style="color: #333;">cmdclass</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">cmdclass</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC556" class="line" lang="python"> <span class="n" style="color: #333;">version</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"1.4.<span class="idiff left right">0</span>"</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC556" class="line" lang="python"> <span class="n" style="color: #333;">version</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"1.4.<span class="idiff left right">1</span>"</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC557" class="line" lang="python"> <span class="n" style="color: #333;">long_description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements most of the new features, and can read and write netCDF files compatible with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.</span><span class="se" style="color: #d14;">\n\n</span><span class="s" style="color: #d14;">This project is hosted on a `GitHub repository <https://github.com/Unidata/netcdf4-python>`_ where you may access the most up-to-date source."</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC558" class="line" lang="python"> <span class="n" style="color: #333;">author</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"Jeff Whitaker"</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC559" class="line" lang="python"> <span class="n" style="color: #333;">author_email</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"jeffrey.s.whitaker@noaa.gov"</span><span class="p">,</span></span>
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<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#cce0e403d5031264f192b2c53bfccfa448612bac"><strong>test/tst_cdf5.py</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4,7 +4,7 @@ import sys, os, unittest, tempfile</td>
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">assert_array_equal</span></span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="python"><span class="n" style="color: #333;">FILE_NAME</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">tempfile</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">NamedTemporaryFile</span><span class="p">(</span><span class="n" style="color: #333;">suffix</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'.nc'</span><span class="p">,</span> <span class="n" style="color: #333;">delete</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">)</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">name</span></span>
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<pre style="margin: 0;">-<span id="LC7" class="line" lang="python"><span class="n" style="color: #333;">dimsize</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">iinfo</span><span class="p">(</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">int<span class="idiff left">64</span></span><span class="p"><span class="idiff">)</span></span><span class="o" style="font-weight: 600;"><span class="idiff">.</span></span><span class="nb" style="color: #0086b3;"><span class="idiff">max</span></span><span class="idiff"> </span><span class="c" style="color: #998; font-style: italic;"><span class="idiff right"># max unsigned 64 bit integer</span></span></span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="n" style="color: #333;">dimsize</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">iinfo</span><span class="p">(</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">int<span class="idiff left">32</span></span><span class="p"><span class="idiff">)</span></span><span class="o" style="font-weight: 600;"><span class="idiff">.</span></span><span class="nb" style="color: #0086b3;"><span class="idiff">max</span></span><span class="o" style="font-weight: 600;"><span class="idiff">*</span></span><span class="mi" style="color: #099;"><span class="idiff">2</span></span><span class="idiff"> </span><span class="c" style="color: #998; font-style: italic;"><span class="idiff right"># only allowed in CDF5</span></span></span>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="python"><span class="n" style="color: #333;">ndim</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">100</span></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"><span class="n" style="color: #333;">arrdata</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">random</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">randint</span><span class="p">(</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">iinfo</span><span class="p">(</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">uint8</span><span class="p">)</span><span class="o" style="font-weight: 600;">.</span><span class="nb" style="color: #0086b3;">min</span><span class="p">,</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">iinfo</span><span class="p">(</span><span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">uint8</span><span class="p">)</span><span class="o" style="font-weight: 600;">.</span><span class="nb" style="color: #0086b3;">max</span><span class="p">,</span><span class="n" style="color: #333;">size</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">ndim</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="python"></span>
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<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#0f872523999e38031c45c351839365e8e4c54c1e"><strong>test/tst_masked6.py</strong></a>
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<pre style="margin: 0;">+<span id="LC1" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">unittest</span></span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">os</span></span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">tempfile</span></span>
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<pre style="margin: 0;">+<span id="LC4" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC5" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">numpy</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">np</span></span>
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<pre style="margin: 0;">+<span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">ma</span></span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">assert_array_almost_equal</span></span>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">netCDF4</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">Dataset</span></span>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC10" class="line" lang="python"><span class="c" style="color: #998; font-style: italic;"># Test automatic conversion of masked arrays (set_always_mask())</span></span>
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<pre style="margin: 0;">+<span id="LC11" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC12" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">SetAlwaysMaskTestBase</span><span class="p">(</span><span class="n" style="color: #333;">unittest</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC14" class="line" lang="python"> <span class="s" style="color: #d14;">"""Base object for tests checking the functionality of set_always_mask()"""</span></span>
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<pre style="margin: 0;">+<span id="LC16" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC17" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC18" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">tempfile</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">NamedTemporaryFile</span><span class="p">(</span><span class="n" style="color: #333;">suffix</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'.nc'</span><span class="p">,</span> <span class="n" style="color: #333;">delete</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">)</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">name</span></span>
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<pre style="margin: 0;">+<span id="LC19" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC20" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">v</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">],</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"i2"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC21" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">w</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">ma</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">3</span><span class="p">,</span> <span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">4</span><span class="p">],</span> <span class="n" style="color: #333;">mask</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="bp" style="color: #999;">False</span><span class="p">,</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="bp" style="color: #999;">False</span><span class="p">,</span> <span class="bp" style="color: #999;">False</span><span class="p">],</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"i2"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC22" class="line" lang="python"> </span>
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<pre style="margin: 0;">+<span id="LC23" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">,</span> <span class="s" style="color: #d14;">'w'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC24" class="line" lang="python"> <span class="n" style="color: #333;">_</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createDimension</span><span class="p">(</span><span class="s" style="color: #d14;">'x'</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC25" class="line" lang="python"> <span class="n" style="color: #333;">v</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createVariable</span><span class="p">(</span><span class="s" style="color: #d14;">'v'</span><span class="p">,</span> <span class="s" style="color: #d14;">"i2"</span><span class="p">,</span> <span class="s" style="color: #d14;">'x'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC26" class="line" lang="python"> <span class="n" style="color: #333;">w</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createVariable</span><span class="p">(</span><span class="s" style="color: #d14;">'w'</span><span class="p">,</span> <span class="s" style="color: #d14;">"i2"</span><span class="p">,</span> <span class="s" style="color: #d14;">'x'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC27" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC28" class="line" lang="python"> <span class="n" style="color: #333;">v</span><span class="p">[</span><span class="o" style="font-weight: 600;">...</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">v</span></span>
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<pre style="margin: 0;">+<span id="LC29" class="line" lang="python"> <span class="n" style="color: #333;">w</span><span class="p">[</span><span class="o" style="font-weight: 600;">...</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">w</span></span>
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<pre style="margin: 0;">+<span id="LC30" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC31" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC32" class="line" lang="python"> </span>
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<pre style="margin: 0;">+<span id="LC33" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">tearDown</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC34" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC35" class="line" lang="python"> <span class="n" style="color: #333;">os</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">remove</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC38" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">SetAlwaysMaskTrue</span><span class="p">(</span><span class="n" style="color: #333;">SetAlwaysMaskTestBase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC40" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC41" class="line" lang="python"> </span>
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<pre style="margin: 0;">+<span id="LC42" class="line" lang="python"> <span class="s" style="color: #d14;">"""Testing auto-conversion of masked arrays with no missing values to regular arrays."""</span></span>
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<pre style="margin: 0;">+<span id="LC43" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC45" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">"v"</span><span class="p">]</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">set_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">True</span><span class="p">)</span> <span class="c" style="color: #998; font-style: italic;"># The default anyway...</span></span>
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<pre style="margin: 0;">+<span id="LC46" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC47" class="line" lang="python"> <span class="n" style="color: #333;">v</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'v'</span><span class="p">][:]</span></span>
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<pre style="margin: 0;">+<span id="LC48" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC49" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">ndarray</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC50" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="n" style="color: #333;">ma</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">core</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">MaskedArray</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC51" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_almost_equal</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC52" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC53" class="line" lang="python"> <span class="n" style="color: #333;">w</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'w'</span><span class="p">][:]</span></span>
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<pre style="margin: 0;">+<span id="LC54" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC55" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">ndarray</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC56" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="n" style="color: #333;">ma</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">core</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">MaskedArray</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC57" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_almost_equal</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">w</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC58" class="line" lang="python"> </span>
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<pre style="margin: 0;">+<span id="LC59" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC60" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC61" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">SetAlwyasMaskFalse</span><span class="p">(</span><span class="n" style="color: #333;">SetAlwaysMaskTestBase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC63" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC64" class="line" lang="python"> </span>
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<pre style="margin: 0;">+<span id="LC65" class="line" lang="python"> <span class="s" style="color: #d14;">"""Testing auto-conversion of masked arrays with no missing values to regular arrays."""</span></span>
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<pre style="margin: 0;">+<span id="LC66" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC67" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC68" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">"v"</span><span class="p">]</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">set_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">False</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC69" class="line" lang="python"> <span class="n" style="color: #333;">v</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'v'</span><span class="p">][:]</span></span>
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<pre style="margin: 0;">+<span id="LC70" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC71" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">ndarray</span><span class="p">))</span></span>
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72
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<pre style="margin: 0;">+<span id="LC72" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="n" style="color: #333;">ma</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">core</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">MaskedArray</span><span class="p">))</span></span>
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73
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<pre style="margin: 0;">+<span id="LC73" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_almost_equal</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC74" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC75" class="line" lang="python"> <span class="n" style="color: #333;">w</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'w'</span><span class="p">][:]</span></span>
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76
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<pre style="margin: 0;">+<span id="LC76" class="line" lang="python"></span>
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77
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<pre style="margin: 0;">+<span id="LC77" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">ndarray</span><span class="p">))</span></span>
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78
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<pre style="margin: 0;">+<span id="LC78" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="n" style="color: #333;">ma</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">core</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">MaskedArray</span><span class="p">))</span></span>
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79
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<pre style="margin: 0;">+<span id="LC79" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_almost_equal</span><span class="p">(</span><span class="n" style="color: #333;">w</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">w</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC80" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC81" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC82" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC83" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">GlobalSetAlwaysMaskTest</span><span class="p">(</span><span class="n" style="color: #333;">unittest</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC84" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC85" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC86" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC87" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">tempfile</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">NamedTemporaryFile</span><span class="p">(</span><span class="n" style="color: #333;">suffix</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'.nc'</span><span class="p">,</span> <span class="n" style="color: #333;">delete</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">)</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">name</span></span>
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<pre style="margin: 0;">+<span id="LC88" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC89" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">,</span> <span class="s" style="color: #d14;">'w'</span><span class="p">)</span></span>
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90
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<pre style="margin: 0;">+<span id="LC90" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC91" class="line" lang="python"> <span class="n" style="color: #333;">grp1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createGroup</span><span class="p">(</span><span class="s" style="color: #d14;">'Group1'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC92" class="line" lang="python"> <span class="n" style="color: #333;">grp2</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createGroup</span><span class="p">(</span><span class="s" style="color: #d14;">'Group2'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC93" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createGroup</span><span class="p">(</span><span class="s" style="color: #d14;">'Group3'</span><span class="p">)</span> <span class="c" style="color: #998; font-style: italic;"># empty group</span></span>
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<pre style="margin: 0;">+<span id="LC94" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC95" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createVariable</span><span class="p">(</span><span class="s" style="color: #d14;">'var0'</span><span class="p">,</span> <span class="s" style="color: #d14;">"i2"</span><span class="p">,</span> <span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC96" class="line" lang="python"> <span class="n" style="color: #333;">grp1</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createVariable</span><span class="p">(</span><span class="s" style="color: #d14;">'var1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'f8'</span><span class="p">,</span> <span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC97" class="line" lang="python"> <span class="n" style="color: #333;">grp2</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">createVariable</span><span class="p">(</span><span class="s" style="color: #d14;">'var2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'f4'</span><span class="p">,</span> <span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC98" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC99" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC101" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">tearDown</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC103" class="line" lang="python"> <span class="n" style="color: #333;">os</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">remove</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC105" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">runTest</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC106" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC107" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Note: The default behaviour is to always return masked</span></span>
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<pre style="margin: 0;">+<span id="LC108" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># arrays, which is already tested elsewhere.</span></span>
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<pre style="margin: 0;">+<span id="LC109" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC110" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">testfile</span><span class="p">,</span> <span class="s" style="color: #d14;">"r"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC111" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC112" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Without regular numpy arrays</span></span>
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<pre style="margin: 0;">+<span id="LC113" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC114" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">set_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">True</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC115" class="line" lang="python"></span>
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116
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<pre style="margin: 0;">+<span id="LC116" class="line" lang="python"> <span class="n" style="color: #333;">v0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'var0'</span><span class="p">]</span></span>
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117
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<pre style="margin: 0;">+<span id="LC117" class="line" lang="python"> <span class="n" style="color: #333;">v1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">groups</span><span class="p">[</span><span class="s" style="color: #d14;">'Group1'</span><span class="p">]</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'var1'</span><span class="p">]</span></span>
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118
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<pre style="margin: 0;">+<span id="LC118" class="line" lang="python"> <span class="n" style="color: #333;">v2</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">groups</span><span class="p">[</span><span class="s" style="color: #d14;">'Group2'</span><span class="p">]</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'var2'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC119" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC120" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="n" style="color: #333;">v0</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC121" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="n" style="color: #333;">v1</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC122" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="n" style="color: #333;">v2</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC123" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC124" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># With regular numpy arrays</span></span>
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<pre style="margin: 0;">+<span id="LC126" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">set_always_mask</span><span class="p">(</span><span class="bp" style="color: #999;">False</span><span class="p">)</span></span>
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127
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<pre style="margin: 0;">+<span id="LC127" class="line" lang="python"></span>
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128
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<pre style="margin: 0;">+<span id="LC128" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="n" style="color: #333;">v0</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC129" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="n" style="color: #333;">v1</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC130" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="n" style="color: #333;">v2</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">always_mask</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC132" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC133" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC135" class="line" lang="python"><span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">__name__</span> <span class="o" style="font-weight: 600;">==</span> <span class="s" style="color: #d14;">'__main__'</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC136" class="line" lang="python"> <span class="n" style="color: #333;">unittest</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">main</span><span class="p">()</span></span></pre>
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<li id="e33d634c913ce9508e9dcd24565d68cbfd595cd9">
<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#e33d634c913ce9508e9dcd24565d68cbfd595cd9"><strong>test/tst_multifile.py</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4,6 +4,8 @@ from numpy.random import seed, randint</td>
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">,</span> <span class="n" style="color: #333;">assert_equal</span></span>
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5
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">ma</span></span>
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6
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">tempfile</span><span class="p">,</span> <span class="n" style="color: #333;">unittest</span><span class="p">,</span> <span class="n" style="color: #333;">os</span><span class="p">,</span> <span class="n" style="color: #333;">datetime</span></span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">cftime</span></span>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">pkg_resources</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">parse_version</span></span>
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9
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"></span>
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8
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="python"><span class="n" style="color: #333;">nx</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">100</span><span class="p">;</span> <span class="n" style="color: #333;">ydim</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">5</span><span class="p">;</span> <span class="n" style="color: #333;">zdim</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">10</span></span>
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9
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11
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<pre style="margin: 0;"> <span id="LC11" class="line" lang="python"><span class="n" style="color: #333;">nfiles</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">10</span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -112,12 +114,15 @@ class NonuniformTimeTestCase(unittest.TestCase):</td>
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<pre style="margin: 0;"> <span id="LC114" class="line" lang="python"> <span class="n" style="color: #333;">calendar</span> <span class="o" style="font-weight: 600;">=</span> <span class="s" style="color: #d14;">'standard'</span></span>
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<pre style="margin: 0;"> <span id="LC115" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC116" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Get the real dates</span></span>
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<pre style="margin: 0;">-<span id="LC115" class="line" lang="python"> <span class="n" style="color: #333;">dates</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">-<span id="LC116" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="nb" style="color: #0086b3;">file</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC117" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="nb" style="color: #0086b3;">file</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC118" class="line" lang="python"> <span class="n" style="color: #333;">t</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'time'</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC119" class="line" lang="python"> <span class="n" style="color: #333;">dates</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">extend</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">t</span><span class="p">[:],</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">calendar</span><span class="p">))</span></span>
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<pre style="margin: 0;">-<span id="LC120" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC117" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># skip this until cftime pull request #55 is in a released</span></span>
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<pre style="margin: 0;">+<span id="LC118" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># version (1.0.1?). Otherwise, fix for issue #808 breaks this</span></span>
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<pre style="margin: 0;">+<span id="LC119" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="n" style="color: #333;">cftime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">__version__</span><span class="p">)</span> <span class="o" style="font-weight: 600;">>=</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="s" style="color: #d14;">'1.0.1'</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC120" class="line" lang="python"> <span class="n" style="color: #333;">dates</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC121" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="nb" style="color: #0086b3;">file</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC122" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="nb" style="color: #0086b3;">file</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC123" class="line" lang="python"> <span class="n" style="color: #333;">t</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'time'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC124" class="line" lang="python"> <span class="n" style="color: #333;">dates</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">extend</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">t</span><span class="p">[:],</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">calendar</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC125" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;"> <span id="LC126" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC127" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Compare with the MF dates</span></span>
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<pre style="margin: 0;"> <span id="LC128" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">MFDataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">,</span><span class="n" style="color: #333;">check</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">)</span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="129" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="diff-line-num unfold js-unfold new_line" data-linenumber="134" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -129,7 +134,10 @@ class NonuniformTimeTestCase(unittest.TestCase):</td>
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129
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134
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<pre style="margin: 0;"> <span id="LC134" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">shape</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">shape</span><span class="p">)</span></span>
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130
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135
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<pre style="margin: 0;"> <span id="LC135" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">dimensions</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">dimensions</span><span class="p">)</span></span>
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131
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<pre style="margin: 0;"> <span id="LC136" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">typecode</span><span class="p">(),</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">typecode</span><span class="p">())</span></span>
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132
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<pre style="margin: 0;">-<span id="LC132" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="p">[:],</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">),</span> <span class="n" style="color: #333;">dates</span><span class="p">)</span></span>
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137
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<pre style="margin: 0;">+<span id="LC137" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># skip this until cftime pull request #55 is in a released</span></span>
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138
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<pre style="margin: 0;">+<span id="LC138" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># version (1.0.1?). Otherwise, fix for issue #808 breaks this</span></span>
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<td class="diff-line-num new new_line" data-linenumber="139" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
139
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<pre style="margin: 0;">+<span id="LC139" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="n" style="color: #333;">cftime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">__version__</span><span class="p">)</span> <span class="o" style="font-weight: 600;">>=</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="s" style="color: #d14;">'1.0.1'</span><span class="p">):</span></span>
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140
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<pre style="margin: 0;">+<span id="LC140" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="p">[:],</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">),</span> <span class="n" style="color: #333;">dates</span><span class="p">)</span></span>
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133
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<td class="diff-line-num new_line" data-linenumber="141" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">
141
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<pre style="margin: 0;"> <span id="LC141" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">date2index</span><span class="p">(</span><span class="n" style="color: #333;">datetime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">datetime</span><span class="p">(</span><span class="mi" style="color: #099;">1980</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">),</span> <span class="n" style="color: #333;">T</span><span class="p">),</span> <span class="mi" style="color: #099;">366</span><span class="p">)</span></span>
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134
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142
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<pre style="margin: 0;"> <span id="LC142" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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135
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143
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<pre style="margin: 0;"> <span id="LC143" class="line" lang="python"></span>
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<li id="8f2ab30676a26575c7879efa8c07d4ba913aa1d3">
<a href="https://salsa.debian.org/debian-gis-team/netcdf4-python/commit/629b13b4f9e6b1c46b953b40b6f085bbc730ba7d#8f2ab30676a26575c7879efa8c07d4ba913aa1d3"><strong>test/tst_multifile2.py</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -4,6 +4,8 @@ from numpy.random import seed, randint</td>
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4
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">,</span> <span class="n" style="color: #333;">assert_equal</span></span>
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5
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5
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">numpy</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">ma</span></span>
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6
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6
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">tempfile</span><span class="p">,</span> <span class="n" style="color: #333;">unittest</span><span class="p">,</span> <span class="n" style="color: #333;">os</span><span class="p">,</span> <span class="n" style="color: #333;">datetime</span></span>
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7
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">cftime</span></span>
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8
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">pkg_resources</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">parse_version</span></span>
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7
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9
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"></span>
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8
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10
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="python"><span class="n" style="color: #333;">nx</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">100</span><span class="p">;</span> <span class="n" style="color: #333;">ydim</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">5</span><span class="p">;</span> <span class="n" style="color: #333;">zdim</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">10</span></span>
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9
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11
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<pre style="margin: 0;"> <span id="LC11" class="line" lang="python"><span class="n" style="color: #333;">nfiles</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">10</span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="102" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="diff-line-num unfold js-unfold new_line" data-linenumber="104" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -102,12 +104,15 @@ class NonuniformTimeTestCase(unittest.TestCase):</td>
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102
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104
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<pre style="margin: 0;"> <span id="LC104" class="line" lang="python"></span>
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103
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<pre style="margin: 0;"> <span id="LC105" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">runTest</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC106" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Get the real dates</span></span>
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<pre style="margin: 0;">-<span id="LC105" class="line" lang="python"> <span class="n" style="color: #333;">dates</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">-<span id="LC106" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="nb" style="color: #0086b3;">file</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC107" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="nb" style="color: #0086b3;">file</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC108" class="line" lang="python"> <span class="n" style="color: #333;">t</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'time'</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC109" class="line" lang="python"> <span class="n" style="color: #333;">dates</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">extend</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">t</span><span class="p">[:],</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">))</span></span>
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<pre style="margin: 0;">-<span id="LC110" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC107" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># skip this until cftime pull request #55 is in a released</span></span>
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<pre style="margin: 0;">+<span id="LC108" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># version (1.0.1?). Otherwise, fix for issue #808 breaks this</span></span>
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<pre style="margin: 0;">+<span id="LC109" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="n" style="color: #333;">cftime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">__version__</span><span class="p">)</span> <span class="o" style="font-weight: 600;">>=</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="s" style="color: #d14;">'1.0.1'</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC110" class="line" lang="python"> <span class="n" style="color: #333;">dates</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC111" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="nb" style="color: #0086b3;">file</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC112" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Dataset</span><span class="p">(</span><span class="nb" style="color: #0086b3;">file</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC113" class="line" lang="python"> <span class="n" style="color: #333;">t</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">variables</span><span class="p">[</span><span class="s" style="color: #d14;">'time'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC114" class="line" lang="python"> <span class="n" style="color: #333;">dates</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">extend</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">t</span><span class="p">[:],</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC115" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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<pre style="margin: 0;"> <span id="LC116" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC117" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># Compare with the MF dates</span></span>
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<pre style="margin: 0;"> <span id="LC118" class="line" lang="python"> <span class="n" style="color: #333;">f</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">MFDataset</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">files</span><span class="p">,</span><span class="n" style="color: #333;">check</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">)</span></span>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -119,7 +124,10 @@ class NonuniformTimeTestCase(unittest.TestCase):</td>
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<pre style="margin: 0;"> <span id="LC124" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">shape</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">shape</span><span class="p">)</span></span>
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120
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125
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<pre style="margin: 0;"> <span id="LC125" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">dimensions</span><span class="p">,</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">dimensions</span><span class="p">)</span></span>
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121
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126
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<pre style="margin: 0;"> <span id="LC126" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">typecode</span><span class="p">(),</span> <span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">typecode</span><span class="p">())</span></span>
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122
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<pre style="margin: 0;">-<span id="LC122" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="p">[:],</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">),</span> <span class="n" style="color: #333;">dates</span><span class="p">)</span></span>
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127
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<pre style="margin: 0;">+<span id="LC127" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># skip this until cftime pull request #55 is in a released</span></span>
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128
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<pre style="margin: 0;">+<span id="LC128" class="line" lang="python"> <span class="c" style="color: #998; font-style: italic;"># version (1.0.1?). Otherwise, fix for issue #808 breaks this</span></span>
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<pre style="margin: 0;">+<span id="LC129" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="n" style="color: #333;">cftime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">__version__</span><span class="p">)</span> <span class="o" style="font-weight: 600;">>=</span> <span class="n" style="color: #333;">parse_version</span><span class="p">(</span><span class="s" style="color: #d14;">'1.0.1'</span><span class="p">):</span></span>
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130
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<pre style="margin: 0;">+<span id="LC130" class="line" lang="python"> <span class="n" style="color: #333;">assert_array_equal</span><span class="p">(</span><span class="n" style="color: #333;">num2date</span><span class="p">(</span><span class="n" style="color: #333;">T</span><span class="p">[:],</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">units</span><span class="p">,</span> <span class="n" style="color: #333;">T</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">calendar</span><span class="p">),</span> <span class="n" style="color: #333;">dates</span><span class="p">)</span></span>
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123
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131
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<pre style="margin: 0;"> <span id="LC131" class="line" lang="python"> <span class="n" style="color: #333;">assert_equal</span><span class="p">(</span><span class="n" style="color: #333;">date2index</span><span class="p">(</span><span class="n" style="color: #333;">datetime</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">datetime</span><span class="p">(</span><span class="mi" style="color: #099;">1980</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">),</span> <span class="n" style="color: #333;">T</span><span class="p">),</span> <span class="mi" style="color: #099;">366</span><span class="p">)</span></span>
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124
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<pre style="margin: 0;"> <span id="LC132" class="line" lang="python"> <span class="n" style="color: #333;">f</span><span class="o" style="font-weight: 600;">.</span><span class="n" style="color: #333;">close</span><span class="p">()</span></span>
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125
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<pre style="margin: 0;"> <span id="LC133" class="line" lang="python"></span>
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