[netcdf4-python] 01/07: Imported Upstream version 1.2.3
Sebastiaan Couwenberg
sebastic at moszumanska.debian.org
Fri Mar 11 13:09:19 UTC 2016
This is an automated email from the git hooks/post-receive script.
sebastic pushed a commit to branch master
in repository netcdf4-python.
commit 4979ce354958ecc47e9134400c48584f9d33c1fc
Author: Bas Couwenberg <sebastic at xs4all.nl>
Date: Fri Mar 11 13:32:24 2016 +0100
Imported Upstream version 1.2.3
---
Changelog | 23 +-
checkversion.py | 4 +-
docs/netCDF4/index.html | 183 +-
examples/bench_compress.py | 2 +-
examples/bench_compress2.py | 35 +-
examples/bench_compress3.py | 41 +-
examples/threaded_read.py | 9 +-
include/netCDF4.pxi | 2 -
netCDF4/_netCDF4.c | 21047 ++++++++++++++++++++++--------------------
netCDF4/_netCDF4.pyx | 105 +-
netCDF4/utils.py | 51 +-
netcdftime/__init__.py | 1 +
setup.py | 17 +-
test/run_all.py | 6 +
test/tst_atts.py | 23 +-
test/tst_cdf5.py | 35 +
test/tst_filepath.py | 15 +
test/tst_masked.py | 8 +-
test/tst_multifile.py | 2 +-
test/tst_multifile2.py | 2 +-
20 files changed, 11386 insertions(+), 10225 deletions(-)
diff --git a/Changelog b/Changelog
index f7cf6d3..27019a6 100644
--- a/Changelog
+++ b/Changelog
@@ -1,5 +1,26 @@
- version 1.2.2 (not yet released)
+ version 1.2.3 (not yet released)
================================
+ * try to avoid writing NC_STRING attributes if possible, by
+ trying to convert unicode strings to ascii and write as NC_CHAR (issue
+ #529). This preserves compatibility with clients (like Matlab) that
+ can't deal with NC_STRING attributes. A 'setncattr_string' method
+ was added for Dataset and Variable to that users can force attributes
+ to be written as NC_STRING if necessary.
+ * fix failing tests with numpy 1.11 (issues #521 and #522).
+ * fix indentation bug in nc4tonc3 utility (issue #519).
+ * add the capability in setup.py to use pkg-config instead of
+ nc-config (pull request #518).
+ * make sure slices which return scalar masked arrays
+ are consistent with numpy.ma (issue #515).
+ * add test/tst_cdf5.py and test/tst_filepath.py (to test new
+ NETCDF3_64BIT_DATA format and filepath Dataset method).
+ * expose netcdftime.__version__ (issue #504).
+ * fix potential memory leak in Dataset.filepath in attempt to fix
+ mysterious segfaults on CentOS6 (issue #506). Segfaults
+ can apparently still occur on systems like CentOS6 with old versions of glibc.
+
+ version 1.2.2 (tag v1.2.2rel)
+ =============================
* fix failing tests on python 2.6 (issue #497). Change minimum required
python from 2.5 to 2.6.
* Potential memory leaks fixed by freeing string pointers internally allocated
diff --git a/checkversion.py b/checkversion.py
index 0d4f4a7..0df6827 100644
--- a/checkversion.py
+++ b/checkversion.py
@@ -1,5 +1,5 @@
-import netCDF4
-import sys
+import netCDF4, sys, numpy
sys.stdout.write('netcdf4-python version: %s\n'%netCDF4.__version__)
sys.stdout.write('HDF5 lib version: %s\n'%netCDF4.__hdf5libversion__)
sys.stdout.write('netcdf lib version: %s\n'%netCDF4.__netcdf4libversion__)
+sys.stdout.write('numpy version %s\n' % numpy.__version__)
diff --git a/docs/netCDF4/index.html b/docs/netCDF4/index.html
index 0b6d221..4733f08 100644
--- a/docs/netCDF4/index.html
+++ b/docs/netCDF4/index.html
@@ -4,7 +4,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1" />
<title>netCDF4 API documentation</title>
- <meta name="description" content="Version 1.2.2
+ <meta name="description" content="Version 1.2.3
-------------
- - -
@@ -865,7 +865,6 @@ table {
.codehilite .err { border: 1px solid #FF0000 } /* Error */
.codehilite .k { color: #008000; font-weight: bold } /* Keyword */
.codehilite .o { color: #666666 } /* Operator */
-.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */
.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */
@@ -1097,6 +1096,7 @@ table {
<li class="mono"><a href="#netCDF4.Dataset.set_fill_off">set_fill_off</a></li>
<li class="mono"><a href="#netCDF4.Dataset.set_fill_on">set_fill_on</a></li>
<li class="mono"><a href="#netCDF4.Dataset.setncattr">setncattr</a></li>
+ <li class="mono"><a href="#netCDF4.Dataset.setncattr_string">setncattr_string</a></li>
<li class="mono"><a href="#netCDF4.Dataset.setncatts">setncatts</a></li>
<li class="mono"><a href="#netCDF4.Dataset.sync">sync</a></li>
</ul>
@@ -1151,6 +1151,7 @@ table {
<li class="mono"><a href="#netCDF4.Group.set_fill_off">set_fill_off</a></li>
<li class="mono"><a href="#netCDF4.Group.set_fill_on">set_fill_on</a></li>
<li class="mono"><a href="#netCDF4.Group.setncattr">setncattr</a></li>
+ <li class="mono"><a href="#netCDF4.Group.setncattr_string">setncattr_string</a></li>
<li class="mono"><a href="#netCDF4.Group.setncatts">setncatts</a></li>
<li class="mono"><a href="#netCDF4.Group.sync">sync</a></li>
</ul>
@@ -1182,6 +1183,7 @@ table {
<li class="mono"><a href="#netCDF4.MFDataset.set_fill_off">set_fill_off</a></li>
<li class="mono"><a href="#netCDF4.MFDataset.set_fill_on">set_fill_on</a></li>
<li class="mono"><a href="#netCDF4.MFDataset.setncattr">setncattr</a></li>
+ <li class="mono"><a href="#netCDF4.MFDataset.setncattr_string">setncattr_string</a></li>
<li class="mono"><a href="#netCDF4.MFDataset.setncatts">setncatts</a></li>
<li class="mono"><a href="#netCDF4.MFDataset.sync">sync</a></li>
<li class="mono"><a href="#netCDF4.MFDataset.__init__">__init__</a></li>
@@ -1233,6 +1235,7 @@ table {
<li class="mono"><a href="#netCDF4.Variable.set_auto_scale">set_auto_scale</a></li>
<li class="mono"><a href="#netCDF4.Variable.set_var_chunk_cache">set_var_chunk_cache</a></li>
<li class="mono"><a href="#netCDF4.Variable.setncattr">setncattr</a></li>
+ <li class="mono"><a href="#netCDF4.Variable.setncattr_string">setncattr_string</a></li>
<li class="mono"><a href="#netCDF4.Variable.setncatts">setncatts</a></li>
</ul>
@@ -1252,7 +1255,7 @@ table {
<header id="section-intro">
<h1 class="title"><span class="name">netCDF4</span> module</h1>
- <h2>Version 1.2.2</h2>
+ <h2>Version 1.2.3</h2>
<hr />
<h1>Introduction</h1>
<p>netcdf4-python is a Python interface to the netCDF C library. </p>
@@ -1564,7 +1567,7 @@ used later to access and set variable data and attributes.</p>
<span class="o">>>></span> <span class="n">levels</span> <span class="o">=</span> <span class="n">rootgrp</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"level"</span><span class="p">,</span><span class="s">"i4"</span><span class="p">,(</span><span class="s">"level"</span><span class="p">,))</span>
<span class="o">>>></span> <span class="n">latitudes</span> <span class="o">=</span> <span class="n">rootgrp</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"latitude"</span><span class="p">,</span><span class="s">"f4"</span><span class="p">,(</span><span class="s">"lat"</span><span class="p">,))</span>
<span class="o">>>></span> <span class="n">longitudes</span> <span class="o">=</span> <span class="n">rootgrp</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"longitude"</span><span class="p">,</span><span class="s">"f4"</span><span class="p">,(</span><span class="s">"lon"</span><span class="p">,))</span>
-<span class="o">>>></span> <span class="c1"># two dimensions unlimited</span>
+<span class="o">>>></span> <span class="c"># two dimensions unlimited</span>
<span class="o">>>></span> <span class="n">temp</span> <span class="o">=</span> <span class="n">rootgrp</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"temp"</span><span class="p">,</span><span class="s">"f4"</span><span class="p">,(</span><span class="s">"time"</span><span class="p">,</span><span class="s">"level"</span><span class="p">,</span><span class="s">"lat"</spa [...]
</pre></div>
@@ -1588,13 +1591,13 @@ used later to access and set variable data and attributes.</p>
<p>If the intermediate groups do not yet exist, they will be created.</p>
<p>You can also query a <a href="#netCDF4.Dataset"><code>Dataset</code></a> or <a href="#netCDF4.Group"><code>Group</code></a> instance directly to obtain <a href="#netCDF4.Group"><code>Group</code></a> or
<a href="#netCDF4.Variable"><code>Variable</code></a> instances using paths.</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="k">print</span> <span class="n">rootgrp</span><span class="p">[</span><span class="s">"/forecasts/model1"</span><span class="p">]</span> <span class="c1"># a Group instance</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="k">print</span> <span class="n">rootgrp</span><span class="p">[</span><span class="s">"/forecasts/model1"</span><span class="p">]</span> <span class="c"># a Group instance</span>
<span class="o"><</span><span class="nb">type</span> <span class="s">"netCDF4._netCDF4.Group"</span><span class="o">></span>
<span class="n">group</span> <span class="o">/</span><span class="n">forecasts</span><span class="o">/</span><span class="n">model1</span><span class="p">:</span>
<span class="n">dimensions</span><span class="p">(</span><span class="n">sizes</span><span class="p">):</span>
<span class="n">variables</span><span class="p">(</span><span class="n">dimensions</span><span class="p">):</span> <span class="n">float32</span> <span class="n">temp</span><span class="p">(</span><span class="n">time</span><span class="p">,</span><span class="n">level</span><span class="p">,</span><span class="n">lat</span><span class="p">,</span><span class="n">lon</span><span class="p">)</span>
<span class="n">groups</span><span class="p">:</span>
-<span class="o">>>></span> <span class="k">print</span> <span class="n">rootgrp</span><span class="p">[</span><span class="s">"/forecasts/model1/temp"</span><span class="p">]</span> <span class="c1"># a Variable instance</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="n">rootgrp</span><span class="p">[</span><span class="s">"/forecasts/model1/temp"</span><span class="p">]</span> <span class="c"># a Variable instance</span>
<span class="o"><</span><span class="nb">type</span> <span class="s">"netCDF4._netCDF4.Variable"</span><span class="o">></span>
<span class="n">float32</span> <span class="n">temp</span><span class="p">(</span><span class="n">time</span><span class="p">,</span> <span class="n">level</span><span class="p">,</span> <span class="n">lat</span><span class="p">,</span> <span class="n">lon</span><span class="p">)</span>
<span class="n">path</span> <span class="o">=</span> <span class="o">/</span><span class="n">forecasts</span><span class="o">/</span><span class="n">model1</span>
@@ -1689,7 +1692,7 @@ into it? You can just treat it like an array and assign data to a slice.</p>
<p>Unlike NumPy's array objects, netCDF <a href="#netCDF4.Variable"><code>Variable</code></a>
objects with unlimited dimensions will grow along those dimensions if you
assign data outside the currently defined range of indices.</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># append along two unlimited dimensions by assigning to slice.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># append along two unlimited dimensions by assigning to slice.</span>
<span class="o">>>></span> <span class="n">nlats</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">rootgrp</span><span class="o">.</span><span class="n">dimensions</span><span class="p">[</span><span class="s">"lat"</span><span class="p">])</span>
<span class="o">>>></span> <span class="n">nlons</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">rootgrp</span><span class="o">.</span><span class="n">dimensions</span><span class="p">[</span><span class="s">"lon"</span><span class="p">])</span>
<span class="o">>>></span> <span class="k">print</span> <span class="s">"temp shape before adding data = "</span><span class="p">,</span><span class="n">temp</span><span class="o">.</span><span class="n">shape</span>
@@ -1700,7 +1703,7 @@ assign data outside the currently defined range of indices.</p>
<span class="o">>>></span> <span class="k">print</span> <span class="s">"temp shape after adding data = "</span><span class="p">,</span><span class="n">temp</span><span class="o">.</span><span class="n">shape</span>
<span class="n">temp</span> <span class="n">shape</span> <span class="n">after</span> <span class="n">adding</span> <span class="n">data</span> <span class="o">=</span> <span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">73</span><span class="p">,</span> <span class="mi">144</span><span class="p">)</span>
<span class="o">>>></span>
-<span class="o">>>></span> <span class="c1"># levels have grown, but no values yet assigned.</span>
+<span class="o">>>></span> <span class="c"># levels have grown, but no values yet assigned.</span>
<span class="o">>>></span> <span class="k">print</span> <span class="s">"levels shape after adding pressure data = "</span><span class="p">,</span><span class="n">levels</span><span class="o">.</span><span class="n">shape</span>
<span class="n">levels</span> <span class="n">shape</span> <span class="n">after</span> <span class="n">adding</span> <span class="n">pressure</span> <span class="n">data</span> <span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="p">,)</span>
</pre></div>
@@ -1709,7 +1712,7 @@ assign data outside the currently defined range of indices.</p>
<p>Note that the size of the levels variable grows when data is appended
along the <code>level</code> dimension of the variable <code>temp</code>, even though no
data has yet been assigned to levels.</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># now, assign data to levels dimension variable.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># now, assign data to levels dimension variable.</span>
<span class="o">>>></span> <span class="n">levels</span><span class="p">[:]</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1000.</span><span class="p">,</span><span class="mf">850.</span><span class="p">,</span><span class="mf">700.</span><span class="p">,</span><span class="mf">500.</span><span class="p">,</span><span class="mf">300.</span><span class="p">,</span><span class="mf">250.</span><span class="p">,</span><span class="mf">200.</span><span cla [...]
</pre></div>
@@ -1762,7 +1765,7 @@ awkward to deal with, without a utility to convert the values to and
from calendar dates. The functione called <a href="#netCDF4.num2date"><code>num2date</code></a> and <a href="#netCDF4.date2num"><code>date2num</code></a> are
provided with this package to do just that. Here's an example of how they
can be used:</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># fill in times.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># fill in times.</span>
<span class="o">>>></span> <span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
<span class="o">>>></span> <span class="kn">from</span> <span class="nn">netCDF4</span> <span class="kn">import</span> <span class="n">num2date</span><span class="p">,</span> <span class="n">date2num</span>
<span class="o">>>></span> <span class="n">dates</span> <span class="o">=</span> <span class="p">[</span><span class="n">datetime</span><span class="p">(</span><span class="mi">2001</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span><span class="o">+</span><span class="n">n</span><span class="o">*</span><span class="n">timedelta</span><span class="p">(</span><span class="n">hours</span><span class="o">= [...]
@@ -1886,30 +1889,30 @@ are created from the corresponding numpy data type using the
Since there is no native complex data type in netcdf, compound types are handy
for storing numpy complex arrays. Here's an example:</p>
<div class="codehilite"><pre><span class="o">>>></span> <span class="n">f</span> <span class="o">=</span> <span class="n">Dataset</span><span class="p">(</span><span class="s">"complex.nc"</span><span class="p">,</span><span class="s">"w"</span><span class="p">)</span>
-<span class="o">>>></span> <span class="n">size</span> <span class="o">=</span> <span class="mi">3</span> <span class="c1"># length of 1-d complex array</span>
-<span class="o">>>></span> <span class="c1"># create sample complex data.</span>
+<span class="o">>>></span> <span class="n">size</span> <span class="o">=</span> <span class="mi">3</span> <span class="c"># length of 1-d complex array</span>
+<span class="o">>>></span> <span class="c"># create sample complex data.</span>
<span class="o">>>></span> <span class="n">datac</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="mi">1j</span><span class="o">*</span><span class="p">(</span><span class="mf">1.</span><span class="o">+</span><span class="n">numpy</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">num [...]
-<span class="o">>>></span> <span class="c1"># create complex128 compound data type.</span>
+<span class="o">>>></span> <span class="c"># create complex128 compound data type.</span>
<span class="o">>>></span> <span class="n">complex128</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">dtype</span><span class="p">([(</span><span class="s">"real"</span><span class="p">,</span><span class="n">numpy</span><span class="o">.</span><span class="n">float64</span><span class="p">),(</span><span class="s">"imag"</span><span class="p">,</span><span class="n">numpy</span><span class="o">.</span><span [...]
<span class="o">>>></span> <span class="n">complex128_t</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">createCompoundType</span><span class="p">(</span><span class="n">complex128</span><span class="p">,</span><span class="s">"complex128"</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># create a variable with this data type, write some data to it.</span>
+<span class="o">>>></span> <span class="c"># create a variable with this data type, write some data to it.</span>
<span class="o">>>></span> <span class="n">f</span><span class="o">.</span><span class="n">createDimension</span><span class="p">(</span><span class="s">"x_dim"</span><span class="p">,</span><span class="bp">None</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">v</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"cmplx_var"</span><span class="p">,</span><span class="n">complex128_t</span><span class="p">,</span><span class="s">"x_dim"</span><span class="p">)</span>
-<span class="o">>>></span> <span class="n">data</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">size</span><span class="p">,</span><span class="n">complex128</span><span class="p">)</span> <span class="c1"># numpy structured array</span>
+<span class="o">>>></span> <span class="n">data</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">size</span><span class="p">,</span><span class="n">complex128</span><span class="p">)</span> <span class="c"># numpy structured array</span>
<span class="o">>>></span> <span class="n">data</span><span class="p">[</span><span class="s">"real"</span><span class="p">]</span> <span class="o">=</span> <span class="n">datac</span><span class="o">.</span><span class="n">real</span><span class="p">;</span> <span class="n">data</span><span class="p">[</span><span class="s">"imag"</span><span class="p">]</span> <span class="o">=</span> <span class="n">datac</span><span class="o">.</span><span class="n">imag</span>
-<span class="o">>>></span> <span class="n">v</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">data</span> <span class="c1"># write numpy structured array to netcdf compound var</span>
-<span class="o">>>></span> <span class="c1"># close and reopen the file, check the contents.</span>
+<span class="o">>>></span> <span class="n">v</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">data</span> <span class="c"># write numpy structured array to netcdf compound var</span>
+<span class="o">>>></span> <span class="c"># close and reopen the file, check the contents.</span>
<span class="o">>>></span> <span class="n">f</span><span class="o">.</span><span class="n">close</span><span class="p">();</span> <span class="n">f</span> <span class="o">=</span> <span class="n">Dataset</span><span class="p">(</span><span class="s">"complex.nc"</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">v</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="s">"cmplx_var"</span><span class="p">]</span>
-<span class="o">>>></span> <span class="n">datain</span> <span class="o">=</span> <span class="n">v</span><span class="p">[:]</span> <span class="c1"># read in all the data into a numpy structured array</span>
-<span class="o">>>></span> <span class="c1"># create an empty numpy complex array</span>
+<span class="o">>>></span> <span class="n">datain</span> <span class="o">=</span> <span class="n">v</span><span class="p">[:]</span> <span class="c"># read in all the data into a numpy structured array</span>
+<span class="o">>>></span> <span class="c"># create an empty numpy complex array</span>
<span class="o">>>></span> <span class="n">datac2</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">datain</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span><span class="n">numpy</span><span class="o">.</span><span class="n">complex128</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># .. fill it with contents of structured array.</span>
+<span class="o">>>></span> <span class="c"># .. fill it with contents of structured array.</span>
<span class="o">>>></span> <span class="n">datac2</span><span class="o">.</span><span class="n">real</span> <span class="o">=</span> <span class="n">datain</span><span class="p">[</span><span class="s">"real"</span><span class="p">];</span> <span class="n">datac2</span><span class="o">.</span><span class="n">imag</span> <span class="o">=</span> <span class="n">datain</span><span class="p">[</span><span class="s">"imag"</span><span class="p">]</span>
-<span class="o">>>></span> <span class="k">print</span> <span class="n">datac</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span><span class="n">datac</span> <span class="c1"># original data</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="n">datac</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span><span class="n">datac</span> <span class="c"># original data</span>
<span class="n">complex128</span> <span class="p">[</span> <span class="mf">0.54030231</span><span class="o">+</span><span class="mf">0.84147098j</span> <span class="o">-</span><span class="mf">0.84147098</span><span class="o">+</span><span class="mf">0.54030231j</span> <span class="o">-</span><span class="mf">0.54030231</span><span class="o">-</span><span class="mf">0.84147098j</span><span class="p">]</span>
<span class="o">>>></span>
-<span class="o">>>></span> <span class="k">print</span> <span class="n">datac2</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span><span class="n">datac2</span> <span class="c1"># data from file</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="n">datac2</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span><span class="n">datac2</span> <span class="c"># data from file</span>
<span class="n">complex128</span> <span class="p">[</span> <span class="mf">0.54030231</span><span class="o">+</span><span class="mf">0.84147098j</span> <span class="o">-</span><span class="mf">0.84147098</span><span class="o">+</span><span class="mf">0.54030231j</span> <span class="o">-</span><span class="mf">0.54030231</span><span class="o">-</span><span class="mf">0.84147098j</span><span class="p">]</span>
</pre></div>
@@ -2044,12 +2047,12 @@ The base integer data type and a python dictionary describing the allowed
values and their names are used to define an Enum data type using
<a href="#netCDF4.Dataset.createEnumType"><code>createEnumType</code></a>.</p>
<div class="codehilite"><pre><span class="o">>>></span> <span class="n">nc</span> <span class="o">=</span> <span class="n">Dataset</span><span class="p">(</span><span class="s">'clouds.nc'</span><span class="p">,</span><span class="s">'w'</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># python dict with allowed values and their names.</span>
+<span class="o">>>></span> <span class="c"># python dict with allowed values and their names.</span>
<span class="o">>>></span> <span class="n">enum_dict</span> <span class="o">=</span> <span class="p">{</span><span class="s">u'Altocumulus'</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span> <span class="s">u'Missing'</span><span class="p">:</span> <span class="mi">255</span><span class="p">,</span>
<span class="o">>>></span> <span class="s">u'Stratus'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s">u'Clear'</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span>
<span class="o">>>></span> <span class="s">u'Nimbostratus'</span><span class="p">:</span> <span class="mi">6</span><span class="p">,</span> <span class="s">u'Cumulus'</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span> <span class="s">u'Altostratus'</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
<span class="o">>>></span> <span class="s">u'Cumulonimbus'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s">u'Stratocumulus'</span><span class="p">:</span> <span class="mi">3</span><span class="p">}</span>
-<span class="o">>>></span> <span class="c1"># create the Enum type called 'cloud_t'.</span>
+<span class="o">>>></span> <span class="c"># create the Enum type called 'cloud_t'.</span>
<span class="o">>>></span> <span class="n">cloud_type</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">createEnumType</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">uint8</span><span class="p">,</span><span class="s">'cloud_t'</span><span class="p">,</span><span class="n">enum_dict</span><span class="p">)</span>
<span class="o">>>></span> <span class="k">print</span> <span class="n">cloud_type</span>
<span class="o"><</span><span class="nb">type</span> <span class="s">'netCDF4._netCDF4.EnumType'</span><span class="o">></span><span class="p">:</span> <span class="n">name</span> <span class="o">=</span> <span class="s">'cloud_t'</span><span class="p">,</span>
@@ -2067,17 +2070,17 @@ cloud types in enum_dict. A <code>ValueError</code> will be raised if an attempt
is made to write an integer value not associated with one of the
specified names.</p>
<div class="codehilite"><pre><span class="o">>>></span> <span class="n">time</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">createDimension</span><span class="p">(</span><span class="s">'time'</span><span class="p">,</span><span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># create a 1d variable of type 'cloud_type'.</span>
-<span class="o">>>></span> <span class="c1"># The fill_value is set to the 'Missing' named value.</span>
+<span class="o">>>></span> <span class="c"># create a 1d variable of type 'cloud_type'.</span>
+<span class="o">>>></span> <span class="c"># The fill_value is set to the 'Missing' named value.</span>
<span class="o">>>></span> <span class="n">cloud_var</span> <span class="o">=</span>
<span class="o">>>></span> <span class="n">nc</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">'primary_cloud'</span><span class="p">,</span><span class="n">cloud_type</span><span class="p">,</span><span class="s">'time'</span><span class="p">,</span>
<span class="o">>>></span> <span class="n">fill_value</span><span class="o">=</span><span class="n">enum_dict</span><span class="p">[</span><span class="s">'Missing'</span><span class="p">])</span>
-<span class="o">>>></span> <span class="c1"># write some data to the variable.</span>
+<span class="o">>>></span> <span class="c"># write some data to the variable.</span>
<span class="o">>>></span> <span class="n">cloud_var</span><span class="p">[:]</span> <span class="o">=</span> <span class="p">[</span><span class="n">enum_dict</span><span class="p">[</span><span class="s">'Clear'</span><span class="p">],</span><span class="n">enum_dict</span><span class="p">[</span><span class="s">'Stratus'</span><span class="p">],</span>
<span class="o">>>></span> <span class="n">enum_dict</span><span class="p">[</span><span class="s">'Cumulus'</span><span class="p">],</span><span class="n">enum_dict</span><span class="p">[</span><span class="s">'Missing'</span><span class="p">],</span>
<span class="o">>>></span> <span class="n">enum_dict</span><span class="p">[</span><span class="s">'Cumulonimbus'</span><span class="p">]]</span>
<span class="o">>>></span> <span class="n">nc</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-<span class="o">>>></span> <span class="c1"># reopen the file, read the data.</span>
+<span class="o">>>></span> <span class="c"># reopen the file, read the data.</span>
<span class="o">>>></span> <span class="n">nc</span> <span class="o">=</span> <span class="n">Dataset</span><span class="p">(</span><span class="s">'clouds.nc'</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">cloud_var</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="s">'primary_cloud'</span><span class="p">]</span>
<span class="o">>>></span> <span class="k">print</span> <span class="n">cloud_var</span>
@@ -2954,9 +2957,9 @@ open/create the Dataset. Requires netcdf >= 4.1.2</p></div>
<div class="desc"><p>Returns a list of variables that match specific conditions.</p>
<p>Can pass in key=value parameters and variables are returned that
contain all of the matches. For example, </p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get variables with x-axis attribute.</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s">'X'</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables with matching "standard_name" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables with matching "standard_name" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">standard_name</span><span class="o">=</span><span class="s">'northward_sea_water_velocity'</span><span class="p">)</span>
</pre></div>
@@ -2965,11 +2968,11 @@ contain all of the matches. For example, </p>
callable returns True. The callable should accept a single parameter,
the attribute value. None is given as the attribute value when the
attribute does not exist on the variable. For example,</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get Axis variables</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">in</span> <span class="p">[</span><span class="s">'X'</span><span class="p">,</span> <span class="s">& [...]
-<span class="o">>>></span> <span class="c1"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that have a "grid_mapping" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">grid_mapping</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">)</span>
</pre></div></div>
<div class="source_cont">
@@ -3203,6 +3206,23 @@ with the same name as one of the reserved python attributes.</p></div>
<div class="item">
+ <div class="name def" id="netCDF4.Dataset.setncattr_string">
+ <p>def <span class="ident">setncattr_string</span>(</p><p>self,name,value)</p>
+ </div>
+
+
+
+
+ <div class="desc"><p>set a netCDF dataset or group string attribute using name,value pair.
+Use if you need to ensure that of netCDF attribute is created with type
+<code>NC_STRING</code> if the file format is <code>NETCDF4</code>.</p></div>
+ <div class="source_cont">
+</div>
+
+ </div>
+
+
+ <div class="item">
<div class="name def" id="netCDF4.Dataset.setncatts">
<p>def <span class="ident">setncatts</span>(</p><p>self,attdict)</p>
</div>
@@ -4008,9 +4028,9 @@ open/create the Dataset. Requires netcdf >= 4.1.2</p></div>
<div class="desc inherited"><p>Returns a list of variables that match specific conditions.</p>
<p>Can pass in key=value parameters and variables are returned that
contain all of the matches. For example, </p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get variables with x-axis attribute.</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s">'X'</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables with matching "standard_name" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables with matching "standard_name" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">standard_name</span><span class="o">=</span><span class="s">'northward_sea_water_velocity'</span><span class="p">)</span>
</pre></div>
@@ -4019,11 +4039,11 @@ contain all of the matches. For example, </p>
callable returns True. The callable should accept a single parameter,
the attribute value. None is given as the attribute value when the
attribute does not exist on the variable. For example,</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get Axis variables</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">in</span> <span class="p">[</span><span class="s">'X'</span><span class="p">,</span> <span class="s">& [...]
-<span class="o">>>></span> <span class="c1"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that have a "grid_mapping" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">grid_mapping</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">)</span>
</pre></div></div>
<div class="source_cont">
@@ -4309,6 +4329,27 @@ with the same name as one of the reserved python attributes.</p></div>
<div class="item">
+ <div class="name def" id="netCDF4.Group.setncattr_string">
+ <p>def <span class="ident">setncattr_string</span>(</p><p>self,name,value)</p>
+ </div>
+
+ <p class="inheritance">
+ <strong>Inheritance:</strong>
+ <code><a href="#netCDF4.Dataset">Dataset</a></code>.<code><a href="#netCDF4.Dataset.setncattr_string">setncattr_string</a></code>
+ </p>
+
+
+
+ <div class="desc inherited"><p>set a netCDF dataset or group string attribute using name,value pair.
+Use if you need to ensure that of netCDF attribute is created with type
+<code>NC_STRING</code> if the file format is <code>NETCDF4</code>.</p></div>
+ <div class="source_cont">
+</div>
+
+ </div>
+
+
+ <div class="item">
<div class="name def" id="netCDF4.Group.setncatts">
<p>def <span class="ident">setncatts</span>(</p><p>self,attdict)</p>
</div>
@@ -4362,15 +4403,15 @@ or NETCDF3_64BIT_DATA</code> format (<code>NETCDF4</code> Datasets won't work).<
<p>Adapted from <a href="http://pysclint.sourceforge.net/pycdf">pycdf</a> by Andre Gosselin.</p>
<p>Example usage (See <a href="#netCDF4.MFDataset.__init__"><code>__init__</code></a> for more details):</p>
<div class="codehilite"><pre><span class="o">>>></span> <span class="kn">import</span> <span class="nn">numpy</span>
-<span class="o">>>></span> <span class="c1"># create a series of netCDF files with a variable sharing</span>
-<span class="o">>>></span> <span class="c1"># the same unlimited dimension.</span>
+<span class="o">>>></span> <span class="c"># create a series of netCDF files with a variable sharing</span>
+<span class="o">>>></span> <span class="c"># the same unlimited dimension.</span>
<span class="o">>>></span> <span class="k">for</span> <span class="n">nf</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">):</span>
<span class="o">>>></span> <span class="n">f</span> <span class="o">=</span> <span class="n">Dataset</span><span class="p">(</span><span class="s">"mftest</span><span class="si">%s</span><span class="s">.nc"</span> <span class="o">%</span> <span class="n">nf</span><span class="p">,</span><span class="s">"w"</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">f</span><span class="o">.</span><span class="n">createDimension</span><span class="p">(</span><span class="s">"x"</span><span class="p">,</span><span class="bp">None</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">x</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span><span class="s">"x"</span><span class="p">,</span><span class="s">"i"</span><span class="p">,(</span><span class="s">"x"</span><span class="p">,))</span>
<span class="o">>>></span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10</span><span class="p">]</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">nf</span><span class="o">*</span><span class="mi">10</span><span class="p">,</span><span class="mi">10</span><span class="o">*</span><span class="p">(</span>< [...]
<span class="o">>>></span> <span class="n">f</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-<span class="o">>>></span> <span class="c1"># now read all those files in at once, in one Dataset.</span>
+<span class="o">>>></span> <span class="c"># now read all those files in at once, in one Dataset.</span>
<span class="o">>>></span> <span class="n">f</span> <span class="o">=</span> <span class="n">MFDataset</span><span class="p">(</span><span class="s">"mftest*nc"</span><span class="p">)</span>
<span class="o">>>></span> <span class="k">print</span> <span class="n">f</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="s">"x"</span><span class="p">][:]</span>
<span class="p">[</span> <span class="mi">0</span> <span class="mi">1</span> <span class="mi">2</span> <span class="mi">3</span> <span class="mi">4</span> <span class="mi">5</span> <span class="mi">6</span> <span class="mi">7</span> <span class="mi">8</span> <span class="mi">9</span> <span class="mi">10</span> <span class="mi">11</span> <span class="mi">12</span> <span class="mi">13</span> <span class="mi">14</span> <span class="mi">15</span> <span class="mi">16</span> <span cla [...]
@@ -4893,9 +4934,9 @@ open/create the Dataset. Requires netcdf >= 4.1.2</p></div>
<div class="desc inherited"><p>Returns a list of variables that match specific conditions.</p>
<p>Can pass in key=value parameters and variables are returned that
contain all of the matches. For example, </p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get variables with x-axis attribute.</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s">'X'</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables with matching "standard_name" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables with matching "standard_name" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">standard_name</span><span class="o">=</span><span class="s">'northward_sea_water_velocity'</span><span class="p">)</span>
</pre></div>
@@ -4904,11 +4945,11 @@ contain all of the matches. For example, </p>
callable returns True. The callable should accept a single parameter,
the attribute value. None is given as the attribute value when the
attribute does not exist on the variable. For example,</p>
-<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c"># Get Axis variables</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">in</span> <span class="p">[</span><span class="s">'X'</span><span class="p">,</span> <span class="s">& [...]
-<span class="o">>>></span> <span class="c1"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c1"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that have a "grid_mapping" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">grid_mapping</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">)</span>
</pre></div></div>
<div class="source_cont">
@@ -5175,6 +5216,27 @@ with the same name as one of the reserved python attributes.</p></div>
<div class="item">
+ <div class="name def" id="netCDF4.MFDataset.setncattr_string">
+ <p>def <span class="ident">setncattr_string</span>(</p><p>self,name,value)</p>
+ </div>
+
+ <p class="inheritance">
+ <strong>Inheritance:</strong>
+ <code><a href="#netCDF4.Dataset">Dataset</a></code>.<code><a href="#netCDF4.Dataset.setncattr_string">setncattr_string</a></code>
+ </p>
+
+
+
+ <div class="desc inherited"><p>set a netCDF dataset or group string attribute using name,value pair.
+Use if you need to ensure that of netCDF attribute is created with type
+<code>NC_STRING</code> if the file format is <code>NETCDF4</code>.</p></div>
+ <div class="source_cont">
+</div>
+
+ </div>
+
+
+ <div class="item">
<div class="name def" id="netCDF4.MFDataset.setncatts">
<p>def <span class="ident">setncatts</span>(</p><p>self,attdict)</p>
</div>
@@ -5317,12 +5379,12 @@ time unit to all files. </p>
<span class="o">>>></span> <span class="n">t2</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">30</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">f1</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="o">>>></span> <span class="n">f2</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-<span class="o">>>></span> <span class="c1"># Read the two files in at once, in one Dataset.</span>
+<span class="o">>>></span> <span class="c"># Read the two files in at once, in one Dataset.</span>
<span class="o">>>></span> <span class="n">f</span> <span class="o">=</span> <span class="n">MFDataset</span><span class="p">(</span><span class="s">"mftest*nc"</span><span class="p">)</span>
<span class="o">>>></span> <span class="n">t</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="s">"time"</span><span class="p">]</span>
<span class="o">>>></span> <span class="k">print</span> <span class="n">t</span><span class="o">.</span><span class="n">units</span>
<span class="n">days</span> <span class="n">since</span> <span class="mi">2000</span><span class="o">-</span><span class="mo">01</span><span class="o">-</span><span class="mo">01</span>
-<span class="o">>>></span> <span class="k">print</span> <span class="n">t</span><span class="p">[</span><span class="mi">32</span><span class="p">]</span> <span class="c1"># The value written in the file, inconsistent with the MF time units.</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="n">t</span><span class="p">[</span><span class="mi">32</span><span class="p">]</span> <span class="c"># The value written in the file, inconsistent with the MF time units.</span>
<span class="mi">1</span>
<span class="o">>>></span> <span class="n">T</span> <span class="o">=</span> <span class="n">MFTime</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
<span class="o">>>></span> <span class="k">print</span> <span class="n">T</span><span class="p">[</span><span class="mi">32</span><span class="p">]</span>
@@ -5910,7 +5972,9 @@ is set to the missing_value attribute (if it exists), otherwise
the netCDF _FillValue attribute (which has a default value
for each data type). When data is written to a variable, the masked
array is converted back to a regular numpy array by replacing all the
-masked values by the fill_value of the masked array.</p>
+masked values by the missing_value attribute of the variable (if it
+exists). If the variable has no missing_value attribute, the _FillValue
+is used instead.</p>
<p>The default value of <code>mask</code> is <code>True</code>
(automatic conversions are performed).</p></div>
<div class="source_cont">
@@ -5938,7 +6002,9 @@ is set to the missing_value attribute (if it exists), otherwise
the netCDF _FillValue attribute (which has a default value
for each data type). When data is written to a variable, the masked
array is converted back to a regular numpy array by replacing all the
-masked values by the fill_value of the masked array.</p>
+masked values by the missing_value attribute of the variable (if it
+exists). If the variable has no missing_value attribute, the _FillValue
+is used instead.</p>
<p>If <code>maskandscale</code> is set to <code>True</code>, and the variable has a
<code>scale_factor</code> or an <code>add_offset</code> attribute, then data read
from that variable is unpacked using::</p>
@@ -6036,6 +6102,23 @@ attributes.</p></div>
<div class="item">
+ <div class="name def" id="netCDF4.Variable.setncattr_string">
+ <p>def <span class="ident">setncattr_string</span>(</p><p>self,name,value)</p>
+ </div>
+
+
+
+
+ <div class="desc"><p>set a netCDF variable string attribute using name,value pair.
+Use if you need to ensure that of netCDF attribute is created with type
+<code>NC_STRING</code> if the file format is <code>NETCDF4</code>.</p></div>
+ <div class="source_cont">
+</div>
+
+ </div>
+
+
+ <div class="item">
<div class="name def" id="netCDF4.Variable.setncatts">
<p>def <span class="ident">setncatts</span>(</p><p>self,attdict)</p>
</div>
diff --git a/examples/bench_compress.py b/examples/bench_compress.py
index 9ce0018..2b4680c 100644
--- a/examples/bench_compress.py
+++ b/examples/bench_compress.py
@@ -13,7 +13,7 @@ n4dim = 144
ntrials = 10
sys.stdout.write('reading and writing a %s by %s by %s by %s random array ..\n'%(n1dim,n2dim,n3dim,n4dim))
sys.stdout.write('(average of %s trials)\n' % ntrials)
-array = netCDF4._quantize(uniform(size=(n1dim,n2dim,n3dim,n4dim)),4)
+array = netCDF4.utils._quantize(uniform(size=(n1dim,n2dim,n3dim,n4dim)),4)
def write_netcdf(filename,zlib=False,shuffle=False,complevel=6):
diff --git a/examples/bench_compress2.py b/examples/bench_compress2.py
index 4f0b864..0391998 100644
--- a/examples/bench_compress2.py
+++ b/examples/bench_compress2.py
@@ -12,22 +12,20 @@ n3dim = 73
n4dim = 144
ntrials = 10
sys.stdout.write('reading and writing a %s by %s by %s by %s random array ..\n'%(n1dim,n2dim,n3dim,n4dim))
-sys.stdout.write('(average of %s trials)\n' % ntrials)
-lsd = 4
-if lsd is not None:
- array = netCDF4._quantize(uniform(size=(n1dim,n2dim,n3dim,n4dim)),4)
-else:
- array = uniform(size=(n1dim,n2dim,n3dim,n4dim))
+sys.stdout.write('(average of %s trials)\n\n' % ntrials)
+array = uniform(size=(n1dim,n2dim,n3dim,n4dim))
-def write_netcdf(filename,complevel):
+def write_netcdf(filename,complevel,lsd):
file = netCDF4.Dataset(filename,'w',format='NETCDF4')
file.createDimension('n1', n1dim)
file.createDimension('n2', n2dim)
file.createDimension('n3', n3dim)
file.createDimension('n4', n4dim)
foo = file.createVariable('data',\
- 'f8',('n1','n2','n3','n4'),zlib=True,shuffle=True,complevel=complevel)
+ 'f8',('n1','n2','n3','n4'),\
+ zlib=True,shuffle=True,complevel=complevel,\
+ least_significant_digit=lsd)
foo[:] = array
file.close()
@@ -36,10 +34,27 @@ def read_netcdf(filename):
data = file.variables['data'][:]
file.close()
-for complevel in range(0,10):
+lsd = None
+sys.stdout.write('using least_significant_digit %s\n\n' % lsd)
+for complevel in range(0,10,2):
sys.stdout.write('testing compression with complevel %s...\n' % complevel)
# writing.
- t = Timer("write_netcdf('test.nc',%s)" % complevel,"from __main__ import write_netcdf")
+ t = Timer("write_netcdf('test.nc',%s,%s)" % (complevel,lsd),"from __main__ import write_netcdf")
+ sys.stdout.write('writing took %s seconds\n' %\
+ repr(sum(t.repeat(ntrials,1))/ntrials))
+ # test reading.
+ t = Timer("read_netcdf('test.nc')","from __main__ import read_netcdf")
+ sys.stdout.write('reading took %s seconds\n' %
+ repr(sum(t.repeat(ntrials,1))/ntrials))
+ # print out size of resulting files.
+ sys.stdout.write('size of test.nc = %s\n'%repr(os.stat('test.nc').st_size))
+
+complevel = 4
+sys.stdout.write('\nusing complevel %s\n\n' % complevel)
+for lsd in range(1,6):
+ sys.stdout.write('testing compression with least_significant_digit %s...\n' % lsd)
+ # writing.
+ t = Timer("write_netcdf('test.nc',%s,%s)" % (complevel,lsd),"from __main__ import write_netcdf")
sys.stdout.write('writing took %s seconds\n' %\
repr(sum(t.repeat(ntrials,1))/ntrials))
# test reading.
diff --git a/examples/bench_compress3.py b/examples/bench_compress3.py
index 38b36cd..c503cef 100644
--- a/examples/bench_compress3.py
+++ b/examples/bench_compress3.py
@@ -1,3 +1,4 @@
+from __future__ import print_function
# benchmark reads and writes, with and without compression.
# tests all four supported file formats.
from numpy.random.mtrand import uniform
@@ -6,7 +7,7 @@ from timeit import Timer
import os, sys
# use real data.
-URL="http://nomad1.ncep.noaa.gov:9090/dods/reanalyses/reanalysis-2/6hr/pgb/pgb"
+URL="http://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis/pressure/hgt.1990.nc"
nc = netCDF4.Dataset(URL)
# use real 500 hPa geopotential height data.
@@ -15,19 +16,22 @@ n3dim = 73
n4dim = 144
ntrials = 10
sys.stdout.write('reading and writing a %s by %s by %s random array ..\n'%(n1dim,n3dim,n4dim))
-sys.stdout.write('(average of %s trials)\n' % ntrials)
-print nc
-array = nc.variables['hgtprs'][0:n1dim,5,:,:]
-print array.min(), array.max(), array.shape, array.dtype
+sys.stdout.write('(average of %s trials)\n\n' % ntrials)
+print(nc)
+print(nc.variables['hgt'])
+array = nc.variables['hgt'][0:n1dim,5,:,:]
+print(array.min(), array.max(), array.shape, array.dtype)
-def write_netcdf(filename,complevel):
+def write_netcdf(filename,complevel,lsd):
file = netCDF4.Dataset(filename,'w',format='NETCDF4')
file.createDimension('n1', None)
file.createDimension('n3', n3dim)
file.createDimension('n4', n4dim)
foo = file.createVariable('data',\
- 'f4',('n1','n3','n4'),zlib=True,shuffle=True,complevel=complevel)
+ 'f4',('n1','n3','n4'),\
+ zlib=True,shuffle=True,complevel=complevel,\
+ least_significant_digit=lsd)
foo[:] = array
file.close()
@@ -36,10 +40,29 @@ def read_netcdf(filename):
data = file.variables['data'][:]
file.close()
-for complevel in range(0,10):
+lsd = None
+sys.stdout.write('using least_significant_digit %s\n\n' % lsd)
+for complevel in range(0,10,2):
sys.stdout.write('testing compression with complevel %s...\n' % complevel)
# writing.
- t = Timer("write_netcdf('test.nc',%s)" % complevel,"from __main__ import write_netcdf")
+ t = Timer("write_netcdf('test.nc',%s,%s)" % (complevel,lsd),"from __main__ import write_netcdf")
+ sys.stdout.write('writing took %s seconds\n' %\
+ repr(sum(t.repeat(ntrials,1))/ntrials))
+ # test reading.
+ t = Timer("read_netcdf('test.nc')","from __main__ import read_netcdf")
+ sys.stdout.write('reading took %s seconds\n' %
+ repr(sum(t.repeat(ntrials,1))/ntrials))
+ # print out size of resulting files.
+ sys.stdout.write('size of test.nc = %s\n'%repr(os.stat('test.nc').st_size))
+
+complevel = 4
+complevel = 4
+sys.stdout.write('\nusing complevel %s\n\n' % complevel)
+for lsd in range(0,6):
+ sys.stdout.write('testing compression with least_significant_digit %s..\n'\
+ % lsd)
+ # writing.
+ t = Timer("write_netcdf('test.nc',%s,%s)" % (complevel,lsd),"from __main__ import write_netcdf")
sys.stdout.write('writing took %s seconds\n' %\
repr(sum(t.repeat(ntrials,1))/ntrials))
# test reading.
diff --git a/examples/threaded_read.py b/examples/threaded_read.py
index c239a33..1f1d3b7 100644
--- a/examples/threaded_read.py
+++ b/examples/threaded_read.py
@@ -1,8 +1,9 @@
+from __future__ import print_function
from netCDF4 import Dataset
from numpy.testing import assert_array_equal, assert_array_almost_equal
import numpy as np
import threading
-import Queue
+import queue
import time
# demonstrate reading of different files from different threads.
@@ -28,7 +29,7 @@ for i in range(nfiles):
nc.close()
# Queue them up
-items = Queue.Queue()
+items = queue.Queue()
for data,fname in zip(datal,fnames):
items.put(fname)
@@ -51,7 +52,7 @@ start = time.time()
for i in range(nfiles):
get_data(serial=i)
end = time.time()
-print 'no threads, time = ',end - start
+print('no threads, time = ',end - start)
# with threading.
start = time.time()
@@ -59,4 +60,4 @@ for i in range(nfiles):
threading.Thread(target=get_data).start()
items.join()
end = time.time()
-print 'with threading, time = ',end - start
+print('with threading, time = ',end - start)
diff --git a/include/netCDF4.pxi b/include/netCDF4.pxi
index dc3aa94..b68013e 100644
--- a/include/netCDF4.pxi
+++ b/include/netCDF4.pxi
@@ -2,8 +2,6 @@
cdef extern from "stdlib.h":
ctypedef long size_t
ctypedef long ptrdiff_t
- void *malloc(size_t size)
- void free(void *ptr)
# hdf5 version info.
cdef extern from "H5public.h":
diff --git a/netCDF4/_netCDF4.c b/netCDF4/_netCDF4.c
index 925c1fc..7175077 100644
--- a/netCDF4/_netCDF4.c
+++ b/netCDF4/_netCDF4.c
@@ -470,19 +470,20 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__strencode;
struct __pyx_defaults;
typedef struct __pyx_defaults __pyx_defaults;
-/* "netCDF4/_netCDF4.pyx":1200
+/* "netCDF4/_netCDF4.pyx":1198
* return 'UNDEFINED'
*
- * cdef _set_att(grp, int varid, name, value, nc_type xtype=-99): # <<<<<<<<<<<<<<
+ * cdef _set_att(grp, int varid, name, value,\ # <<<<<<<<<<<<<<
+ * nc_type xtype=-99, force_ncstring=False):
* # Private function to set an attribute name/value pair
- * cdef int i, ierr, lenarr, n
*/
struct __pyx_opt_args_7netCDF4_8_netCDF4__set_att {
int __pyx_n;
nc_type xtype;
+ PyObject *force_ncstring;
};
-/* "netCDF4/_netCDF4.pyx":4568
+/* "netCDF4/_netCDF4.pyx":4626
* return xtype
*
* cdef _read_compound(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -494,7 +495,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_compound {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4737
+/* "netCDF4/_netCDF4.pyx":4795
* return xtype, dt
*
* cdef _read_vlen(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -506,7 +507,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_vlen {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4856
+/* "netCDF4/_netCDF4.pyx":4914
* return xtype, dt
*
* cdef _read_enum(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -518,7 +519,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_enum {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4892
+/* "netCDF4/_netCDF4.pyx":4950
* return EnumType(group, dt, name, enum_dict, typeid=xtype)
*
* cdef _strencode(pystr,encoding=None): # <<<<<<<<<<<<<<
@@ -533,7 +534,7 @@ struct __pyx_defaults {
PyObject *__pyx_arg_exclude;
};
-/* "netCDF4/_netCDF4.pyx":1539
+/* "netCDF4/_netCDF4.pyx":1545
* __pdoc__ = {}
*
* cdef class Dataset: # <<<<<<<<<<<<<<
@@ -561,7 +562,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dataset {
};
-/* "netCDF4/_netCDF4.pyx":2510
+/* "netCDF4/_netCDF4.pyx":2540
*
*
* cdef class Group(Dataset): # <<<<<<<<<<<<<<
@@ -573,7 +574,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Group {
};
-/* "netCDF4/_netCDF4.pyx":2605
+/* "netCDF4/_netCDF4.pyx":2635
*
*
* cdef class Dimension: # <<<<<<<<<<<<<<
@@ -590,7 +591,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dimension {
};
-/* "netCDF4/_netCDF4.pyx":2766
+/* "netCDF4/_netCDF4.pyx":2796
* return False
*
* cdef class Variable: # <<<<<<<<<<<<<<
@@ -616,10 +617,11 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Variable {
PyObject *_vltype;
PyObject *_enumtype;
PyObject *__orthogonal_indexing__;
+ PyObject *_has_lsd;
};
-/* "netCDF4/_netCDF4.pyx":4407
+/* "netCDF4/_netCDF4.pyx":4465
* # Compound datatype support.
*
* cdef class CompoundType: # <<<<<<<<<<<<<<
@@ -634,7 +636,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType {
};
-/* "netCDF4/_netCDF4.pyx":4652
+/* "netCDF4/_netCDF4.pyx":4710
* # VLEN datatype support.
*
* cdef class VLType: # <<<<<<<<<<<<<<
@@ -649,7 +651,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_VLType {
};
-/* "netCDF4/_netCDF4.pyx":4766
+/* "netCDF4/_netCDF4.pyx":4824
* # Enum datatype support.
*
* cdef class EnumType: # <<<<<<<<<<<<<<
@@ -665,7 +667,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_EnumType {
};
-/* "netCDF4/_netCDF4.pyx":1020
+/* "netCDF4/_netCDF4.pyx":1018
* _format_dict['NETCDF3_64BIT'] = NC_FORMAT_64BIT
* # invert dictionary mapping
* _reverse_format_dict = dict((v, k) for k, v in _format_dict.iteritems()) # <<<<<<<<<<<<<<
@@ -1245,6 +1247,8 @@ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
/* Module declarations from 'libc.string' */
+/* Module declarations from 'libc.stdlib' */
+
/* Module declarations from 'numpy' */
/* Module declarations from 'netCDF4._netCDF4' */
@@ -1284,6 +1288,7 @@ static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_builtin_AttributeError;
static PyObject *__pyx_builtin_KeyError;
static PyObject *__pyx_builtin_ValueError;
+static PyObject *__pyx_builtin_UnicodeError;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_IndexError;
static PyObject *__pyx_builtin_IOError;
@@ -1382,7 +1387,6 @@ static char __pyx_k_var[] = "var";
static char __pyx_k_vid[] = "vid";
static char __pyx_k_zip[] = "zip";
static char __pyx_k_HDF4[] = "HDF4";
-static char __pyx_k__128[] = ".";
static char __pyx_k_args[] = "args";
static char __pyx_k_bool[] = "bool";
static char __pyx_k_cdfm[] = "cdfm";
@@ -1443,11 +1447,12 @@ static char __pyx_k_vlen[] = "vlen";
static char __pyx_k_warn[] = "warn";
static char __pyx_k_year[] = "year";
static char __pyx_k_zlib[] = "zlib";
-static char __pyx_k_1_2_2[] = "1.2.2";
+static char __pyx_k_1_2_3[] = "1.2.3";
static char __pyx_k_4_2_1[] = "4.2.1";
static char __pyx_k_4_4_0[] = "4.4.0";
static char __pyx_k_align[] = "align";
static char __pyx_k_array[] = "array";
+static char __pyx_k_ascii[] = "ascii";
static char __pyx_k_attrs[] = "attrs";
static char __pyx_k_atype[] = "atype";
static char __pyx_k_cdf_2[] = "cdf";
@@ -1547,6 +1552,7 @@ static char __pyx_k_MINYEAR[] = "MINYEAR";
static char __pyx_k_NETCDF3[] = "NETCDF3";
static char __pyx_k_NETCDF4[] = "NETCDF4";
static char __pyx_k_asarray[] = "asarray";
+static char __pyx_k_bytestr[] = "bytestr";
static char __pyx_k_cdfTLen[] = "_cdfTLen";
static char __pyx_k_cdfVLen[] = "_cdfVLen";
static char __pyx_k_cdftime[] = "cdftime";
@@ -1567,6 +1573,7 @@ static char __pyx_k_getdims[] = "_getdims";
static char __pyx_k_getitem[] = "__getitem__";
static char __pyx_k_getname[] = "_getname";
static char __pyx_k_group_s[] = "group %s:\n";
+static char __pyx_k_has_lsd[] = "_has_lsd";
static char __pyx_k_nc_type[] = "_nc_type";
static char __pyx_k_ncattrs[] = "ncattrs";
static char __pyx_k_newname[] = "newname";
@@ -1608,6 +1615,7 @@ static char __pyx_k_date2num[] = "date2num";
static char __pyx_k_datetime[] = "datetime";
static char __pyx_k_dimnames[] = "dimnames";
static char __pyx_k_diskless[] = "diskless";
+static char __pyx_k_encoding[] = "encoding";
static char __pyx_k_endswith[] = "endswith";
static char __pyx_k_enumtype[] = "_enumtype";
static char __pyx_k_extShape[] = "extShape";
@@ -1628,6 +1636,7 @@ static char __pyx_k_quantize[] = "_quantize";
static char __pyx_k_ref_date[] = "ref_date";
static char __pyx_k_standard[] = "standard";
static char __pyx_k_subdtype[] = "subdtype";
+static char __pyx_k_to_ascii[] = "_to_ascii";
static char __pyx_k_tostring[] = "tostring";
static char __pyx_k_typecode[] = "typecode";
static char __pyx_k_varnames[] = "varnames";
@@ -1659,7 +1668,6 @@ static char __pyx_k_mastervar[] = "_mastervar";
static char __pyx_k_metaclass[] = "__metaclass__";
static char __pyx_k_min_units[] = "min_units";
static char __pyx_k_minorvers[] = "minorvers";
-static char __pyx_k_npversion[] = "_npversion";
static char __pyx_k_nunlimdim[] = "_nunlimdim";
static char __pyx_k_posixpath[] = "posixpath";
static char __pyx_k_recdimlen[] = "recdimlen";
@@ -1729,6 +1737,7 @@ static char __pyx_k_variables_s[] = " variables = %s\n";
static char __pyx_k_Dataset_path[] = "Dataset.path";
static char __pyx_k_MFTime__time[] = "_MFTime__time";
static char __pyx_k_RuntimeError[] = "RuntimeError";
+static char __pyx_k_UnicodeError[] = "UnicodeError";
static char __pyx_k_VLType_dtype[] = "VLType.dtype";
static char __pyx_k_chartostring[] = "chartostring";
static char __pyx_k_data_model_2[] = "_data_model";
@@ -1856,6 +1865,7 @@ static char __pyx_k_The_number_of_stored_elements[] = "The number of stored elem
static char __pyx_k_mode_must_be_w_r_a_or_r_got_s[] = "mode must be 'w', 'r', 'a' or 'r+', got '%s'";
static char __pyx_k_string_name_of_Group_instance[] = "string name of Group instance";
static char __pyx_k_unrecognized_format_requested[] = "unrecognized format requested";
+static char __pyx_k_Users_jwhitaker_python_netcdf4[] = "/Users/jwhitaker/python/netcdf4-python.git/netCDF4/_netCDF4.pyx";
static char __pyx_k_Variable___orthogonal_indexing[] = "Variable.__orthogonal_indexing__";
static char __pyx_k_Variable_set_auto_maskandscale[] = "_Variable.set_auto_maskandscale";
static char __pyx_k_filepath_method_not_enabled_To[] = "\nfilepath method not enabled. To enable, install Cython, make sure you have\nversion 4.1.2 or higher of the netcdf C lib, and rebuild netcdf4-python.";
@@ -1869,9 +1879,8 @@ static char __pyx_k_Class_for_reading_multi_file_ne[] = "\nClass for reading mul
static char __pyx_k_Class_providing_an_interface_to[] = "\nClass providing an interface to a MFDataset time Variable by imposing a unique common\ntime unit to all files. \n\nExample usage (See `netCDF4.MFTime.__init__` for more details):\n\n :::python\n >>> import numpy\n >>> f1 = Dataset(\"mftest_1.nc\",\"w\", format=\"NETCDF4_CLASSIC\")\n >>> f2 = Dataset(\"mftest_2.nc\",\"w\", format=\"NETCDF4_CLASSIC\")\n >>> f1.createDimension(\"time\",None)\n >>> f2.createDimensio [...]
static char __pyx_k_FillValue_attribute_must_be_set[] = "_FillValue attribute must be set when variable is ";
static char __pyx_k_The_vltypes_dictionary_maps_the[] = "The `vltypes` dictionary maps the names of\n variable-length types defined for the `netCDF4.Group` or `netCDF4.Dataset` to instances of the\n `netCDF4.VLType` class.";
-static char __pyx_k_Users_jsw_python_netcdf4_python[] = "/Users/jsw/python/netcdf4-python.git/netCDF4/_netCDF4.pyx";
static char __pyx_k_Variable_object_no_longer_valid[] = "Variable object no longer valid";
-static char __pyx_k_Version_1_2_2_Introduction_netc[] = "\nVersion 1.2.2\n-------------\n- - - \n\nIntroduction\n============\n\nnetcdf4-python is a Python interface to the netCDF C library. \n\n[netCDF](http://www.unidata.ucar.edu/software/netcdf/) version 4 has many features\nnot found in earlier versions of the library and is implemented on top of\n[HDF5](http://www.hdfgroup.org/HDF5). This module can read and write\nfiles in both the new netCDF 4 and the old netCDF 3 format, and can [...]
+static char __pyx_k_Version_1_2_3_Introduction_netc[] = "\nVersion 1.2.3\n-------------\n- - - \n\nIntroduction\n============\n\nnetcdf4-python is a Python interface to the netCDF C library. \n\n[netCDF](http://www.unidata.ucar.edu/software/netcdf/) version 4 has many features\nnot found in earlier versions of the library and is implemented on top of\n[HDF5](http://www.hdfgroup.org/HDF5). This module can read and write\nfiles in both the new netCDF 4 and the old netCDF 3 format, and can [...]
static char __pyx_k_assign_vlen_method_only_for_use[] = "_assign_vlen method only for use with VLEN variables";
static char __pyx_k_cannot_set__FillValue_attribute[] = "cannot set _FillValue attribute for VLEN or compound variable";
static char __pyx_k_cannot_specify_chunksizes_for_a[] = "cannot specify chunksizes for a contiguous dataset";
@@ -1880,6 +1889,7 @@ static char __pyx_k_data_model_describes_the_netCDF[] = "`data_model` describes
static char __pyx_k_disk_format_describes_the_under[] = "`disk_format` describes the underlying\n file format, one of `NETCDF3`, `HDF5`, `HDF4`,\n `PNETCDF`, `DAP2`, `DAP4` or `UNDEFINED`. Only available if using\n netcdf C library version >= 4.3.1, otherwise will always return\n `UNDEFINED`.";
static char __pyx_k_endian_keyword_argument_must_be[] = "'endian' keyword argument must be 'little','big' or 'native', got '%s'";
static char __pyx_k_endian_ness_of_dtype_and_endian[] = "endian-ness of dtype and endian kwarg do not match, using endian kwarg";
+static char __pyx_k_file_format_does_not_support_NC[] = "file format does not support NC_STRING attributes";
static char __pyx_k_get_variables_by_attribute_self[] = "\n**`get_variables_by_attribute(self, **kwargs)`**\n\nReturns a list of variables that match specific conditions.\n\nCan pass in key=value parameters and variables are returned that\ncontain all of the matches. For example, \n\n :::python\n >>> # Get variables with x-axis attribute.\n >>> vs = nc.get_variables_by_attributes(axis='X')\n >>> # Get variables with matching \"standard_name\" attribute\n >>> vs = nc.get_va [...]
static char __pyx_k_get_variables_s_dimension_names[] = "get variables's dimension names";
static char __pyx_k_illegal_data_type_for_attribute[] = "illegal data type for attribute, must be one of %s, got %s";
@@ -1889,14 +1899,13 @@ static char __pyx_k_netcdf_time_variable_is_missing[] = "netcdf time variable is
static char __pyx_k_parent_is_a_reference_to_the_pa[] = "`parent` is a reference to the parent\n `netCDF4.Group` instance. `None` for the root group or `netCDF4.Dataset` instance";
static char __pyx_k_s_is_one_of_the_reserved_attrib[] = "'%s' is one of the reserved attributes %s, cannot delete. Use delncattr instead.";
static char __pyx_k_same_as_data_model_retained_for[] = "same as `data_model`, retained for backwards compatibility.";
-static char __pyx_k_single_element_VLEN_slices_must[] = "single element VLEN slices must be specified by integers only";
static char __pyx_k_wrong_data_type_in_object_array[] = "wrong data type in object array: should be %s, got %s";
static char __pyx_k_wrong_data_type_should_be_s_got[] = "wrong data type: should be %s, got %s";
static char __pyx_k_zero_not_allowed_as_a_reference[] = "zero not allowed as a reference year, does not exist in Julian or Gregorian calendars";
static char __pyx_k_A_numpy_integer_dtype_object_des[] = "A numpy integer dtype object describing the base type for the Enum.";
static char __pyx_k_A_python_dictionary_describing_t[] = "A python dictionary describing the enum fields and values.";
static char __pyx_k_A_tuple_with_the_current_shape_l[] = "A tuple with the current shape (length of all dimensions).";
-static char __pyx_k_Dataset_get_variables_by_attribu[] = "Dataset.get_variables_by_attributes (line 2460)";
+static char __pyx_k_Dataset_get_variables_by_attribu[] = "Dataset.get_variables_by_attributes (line 2490)";
static char __pyx_k_Describes_the_power_of_ten_of_th[] = "Describes the power of ten of the \n smallest decimal place in the data the contains a reliable value. Data is\n truncated to this decimal place when it is assigned to the `netCDF4.Variable`\n instance. If `None`, the data is not truncated.";
static char __pyx_k_Dimension_object_no_longer_valid[] = "Dimension object no longer valid";
static char __pyx_k_If_True_child_Dimension_and_Vari[] = "If `True`, child Dimension and Variables objects only keep weak references to\n the parent Dataset or Group.";
@@ -1929,6 +1938,7 @@ static char __pyx_k_chunksize_cannot_exceed_dimensio[] = "chunksize cannot excee
static char __pyx_k_chunksizes_must_be_a_sequence_wi[] = "chunksizes must be a sequence with the same length as dimensions";
static char __pyx_k_compound_field_of_an_unsupported[] = "compound field of an unsupported data type";
static char __pyx_k_created_using_fill_value_keyword[] = "created (using fill_value keyword to createVariable)";
+static char __pyx_k_data_can_only_be_assigned_to_VLE[] = "data can only be assigned to VLEN variables using integer indices";
static char __pyx_k_data_to_put_in_string_variable_m[] = "data to put in string variable must be an object array containing Python strings";
static char __pyx_k_dimension_s_not_defined_in_group[] = "dimension %s not defined in group %s or any group in it's family tree";
static char __pyx_k_diskless_mode_requires_netcdf_li[] = "diskless mode requires netcdf lib >= 4.2.1, you have %s";
@@ -1946,7 +1956,6 @@ static char __pyx_k_numpy_data_type_for_primitive_da[] = "numpy data type (for p
static char __pyx_k_only_endian_native_allowed_for_N[] = "only endian='native' allowed for NETCDF3 files";
static char __pyx_k_only_numpy_string_unicode_or_obj[] = "only numpy string, unicode or object arrays can be assigned to VLEN str var slices";
static char __pyx_k_please_install_ordereddict_https[] = "please install ordereddict (https://pypi.python.org/pypi/ordereddict)";
-static char __pyx_k_requires_numpy_version_1_0rc1_or[] = "requires numpy version 1.0rc1 or later";
static char __pyx_k_root_group_s_data_model_file_for[] = "root group (%s data model, file format %s):\n";
static char __pyx_k_size_of_data_array_does_not_conf[] = "size of data array does not conform to slice";
static char __pyx_k_strides_must_all_be_1_for_string[] = "strides must all be 1 for string variables";
@@ -1978,7 +1987,7 @@ static char __pyx_k_unsupported_datatype_specified_f_2[] = "unsupported datatype
static PyObject *__pyx_kp_s_;
static PyObject *__pyx_kp_s_0m;
static PyObject *__pyx_kp_s_1;
-static PyObject *__pyx_kp_s_1_2_2;
+static PyObject *__pyx_kp_s_1_2_3;
static PyObject *__pyx_kp_s_4_2_1;
static PyObject *__pyx_kp_s_4_4_0;
static PyObject *__pyx_kp_s_4m;
@@ -2076,8 +2085,9 @@ static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_n_s_U;
static PyObject *__pyx_n_s_UNDEFINED;
static PyObject *__pyx_n_s_UnicodeDecodeError;
+static PyObject *__pyx_n_s_UnicodeError;
static PyObject *__pyx_kp_s_Unsupported_compound_type_elemen;
-static PyObject *__pyx_kp_s_Users_jsw_python_netcdf4_python;
+static PyObject *__pyx_kp_s_Users_jwhitaker_python_netcdf4;
static PyObject *__pyx_n_s_V;
static PyObject *__pyx_kp_s_VLType_dtype;
static PyObject *__pyx_kp_s_VLType_name;
@@ -2112,7 +2122,6 @@ static PyObject *__pyx_kp_s_WARNING_variable_s_has_unsupport;
static PyObject *__pyx_kp_s_WARNING_variable_s_has_unsupport_2;
static PyObject *__pyx_kp_s_WARNING_variable_s_has_unsupport_3;
static PyObject *__pyx_kp_s_WARNING_variable_s_has_unsupport_4;
-static PyObject *__pyx_kp_s__128;
static PyObject *__pyx_kp_s__14;
static PyObject *__pyx_kp_s__15;
static PyObject *__pyx_kp_s__16;
@@ -2141,6 +2150,7 @@ static PyObject *__pyx_n_s_arr;
static PyObject *__pyx_n_s_array;
static PyObject *__pyx_n_s_as;
static PyObject *__pyx_n_s_asarray;
+static PyObject *__pyx_n_s_ascii;
static PyObject *__pyx_n_s_assign_vlen;
static PyObject *__pyx_kp_s_assign_vlen_method_only_for_use;
static PyObject *__pyx_n_s_astype;
@@ -2153,6 +2163,7 @@ static PyObject *__pyx_n_s_big;
static PyObject *__pyx_n_s_bool;
static PyObject *__pyx_n_s_bs;
static PyObject *__pyx_n_s_byteorder;
+static PyObject *__pyx_n_s_bytestr;
static PyObject *__pyx_n_s_byteswap;
static PyObject *__pyx_n_s_calendar;
static PyObject *__pyx_kp_s_cannot_assign_fill_value_for_mas;
@@ -2201,6 +2212,7 @@ static PyObject *__pyx_kp_s_d_d_d;
static PyObject *__pyx_kp_s_d_d_d_s;
static PyObject *__pyx_n_s_dat;
static PyObject *__pyx_n_s_data;
+static PyObject *__pyx_kp_s_data_can_only_be_assigned_to_VLE;
static PyObject *__pyx_n_s_data_model;
static PyObject *__pyx_n_s_data_model_2;
static PyObject *__pyx_kp_s_data_model_describes_the_netCDF;
@@ -2251,6 +2263,7 @@ static PyObject *__pyx_n_s_dtype_name;
static PyObject *__pyx_n_s_elem;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_n_s_encode;
+static PyObject *__pyx_n_s_encoding;
static PyObject *__pyx_n_s_enddef;
static PyObject *__pyx_n_s_endian;
static PyObject *__pyx_kp_s_endian_keyword_argument_must_be;
@@ -2275,6 +2288,7 @@ static PyObject *__pyx_n_s_f8;
static PyObject *__pyx_n_s_fields;
static PyObject *__pyx_n_s_file_format;
static PyObject *__pyx_n_s_file_format_2;
+static PyObject *__pyx_kp_s_file_format_does_not_support_NC;
static PyObject *__pyx_n_s_filename;
static PyObject *__pyx_kp_s_filepath_method_not_enabled_To;
static PyObject *__pyx_n_s_files;
@@ -2319,6 +2333,7 @@ static PyObject *__pyx_n_s_grpid;
static PyObject *__pyx_n_s_grpnames;
static PyObject *__pyx_n_s_grps;
static PyObject *__pyx_n_s_has_cdf5;
+static PyObject *__pyx_n_s_has_lsd;
static PyObject *__pyx_n_s_has_nc_inq_format_extended;
static PyObject *__pyx_n_s_has_nc_inq_path;
static PyObject *__pyx_n_s_has_rename_grp;
@@ -2436,7 +2451,6 @@ static PyObject *__pyx_n_s_newname;
static PyObject *__pyx_kp_s_no_since_in_unit_string;
static PyObject *__pyx_n_s_normpath;
static PyObject *__pyx_n_s_nptonctype;
-static PyObject *__pyx_n_s_npversion;
static PyObject *__pyx_n_s_num;
static PyObject *__pyx_n_s_num2date;
static PyObject *__pyx_n_s_numpy;
@@ -2496,7 +2510,6 @@ static PyObject *__pyx_n_s_releasevers;
static PyObject *__pyx_kp_s_renameGroup_method_not_enabled;
static PyObject *__pyx_n_s_replace;
static PyObject *__pyx_n_s_repr;
-static PyObject *__pyx_kp_s_requires_numpy_version_1_0rc1_or;
static PyObject *__pyx_n_s_reshape;
static PyObject *__pyx_n_s_reverse_format_dict;
static PyObject *__pyx_kp_s_root_group_s_data_model_file_for;
@@ -2532,7 +2545,6 @@ static PyObject *__pyx_n_s_shape_2;
static PyObject *__pyx_kp_s_shape_cannot_be_altered;
static PyObject *__pyx_n_s_shuffle;
static PyObject *__pyx_n_s_since;
-static PyObject *__pyx_kp_s_single_element_VLEN_slices_must;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_kp_s_size_cannot_be_altered;
static PyObject *__pyx_kp_s_size_of_data_array_does_not_conf;
@@ -2572,6 +2584,7 @@ static PyObject *__pyx_n_s_timedelta;
static PyObject *__pyx_n_s_times;
static PyObject *__pyx_n_s_timestr;
static PyObject *__pyx_n_s_timestr_split;
+static PyObject *__pyx_n_s_to_ascii;
static PyObject *__pyx_kp_s_to_assign_values_to_a_non_scalar;
static PyObject *__pyx_kp_s_to_retrieve_values_from_a_non_sc;
static PyObject *__pyx_n_s_tolist;
@@ -2649,7 +2662,7 @@ static PyObject *__pyx_kp_s_zero_not_allowed_as_a_reference;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_n_s_zip;
static PyObject *__pyx_n_s_zlib;
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_20genexpr(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_22genexpr(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4__gethdf5libversion(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_2getlibversion(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_4_set_default_format(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_format); /* proto */
@@ -2678,18 +2691,19 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_42renameVariable(struct __
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_44createGroup(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_groupname); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_46ncattrs(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_48setncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_50setncatts(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_attdict); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_52getncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset_54__delattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_56delncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset_58__setattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_60__getattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_62renameAttribute(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_oldname, PyObject *__pyx_v_newname); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_64renameGroup(CYTHON_UNUSED struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_oldname, CYTHON_UNUSED PyObject *__pyx_v_newname); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_66set_auto_maskandscale(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_68set_auto_mask(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_70set_auto_scale(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_72get_variables_by_attributes(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_kwargs); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_50setncattr_string(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_52setncatts(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_attdict); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_54getncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset_56__delattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_58delncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset_60__setattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_62__getattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_64renameAttribute(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_oldname, PyObject *__pyx_v_newname); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_66renameGroup(CYTHON_UNUSED struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_oldname, CYTHON_UNUSED PyObject *__pyx_v_newname); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_68set_auto_maskandscale(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_70set_auto_mask(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_72set_auto_scale(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_74get_variables_by_attributes(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_kwargs); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_6_grpid___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset_6_grpid_2__set__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_7_isopen___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self); /* proto */
@@ -2779,30 +2793,31 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_10dimensions_2__set__(CYTHON_UN
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_12group(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_14ncattrs(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_16setncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_18setncatts(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_attdict); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_20getncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_22delncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_size, PyObject *__pyx_v_nelems, PyObject *__pyx_v_preemption); /* proto */
-static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_34__delattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_36__setattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_38__getattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_40renameAttribute(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_oldname, PyObject *__pyx_v_newname); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_42__getitem__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_44_toma(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_data); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_46_assign_vlen(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem, PyObject *__pyx_v_data); /* proto */
-static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem, PyObject *__pyx_v_data); /* proto */
-static Py_ssize_t __pyx_pf_7netCDF4_8_netCDF4_8Variable_50__len__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_52assignValue(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_val); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_54getValue(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_56set_auto_maskandscale(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_maskandscale); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_58set_auto_scale(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_scale); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_60set_auto_mask(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_mask); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_62_put(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyArrayObject *__pyx_v_data, PyObject *__pyx_v_start, PyObject *__pyx_v_count, PyObject *__pyx_v_stride); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_64_get(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_start, PyObject *__pyx_v_count, PyObject *__pyx_v_stride); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_18setncattr_string(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_20setncatts(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_attdict); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_22getncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24delncattr(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26filters(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28endian(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30chunking(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32get_var_chunk_cache(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_34set_var_chunk_cache(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_size, PyObject *__pyx_v_nelems, PyObject *__pyx_v_preemption); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_36__delattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_38__setattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_40__getattr__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_42renameAttribute(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_oldname, PyObject *__pyx_v_newname); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_44__getitem__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_46_toma(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_data); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_48_assign_vlen(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem, PyObject *__pyx_v_data); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_50__setitem__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_elem, PyObject *__pyx_v_data); /* proto */
+static Py_ssize_t __pyx_pf_7netCDF4_8_netCDF4_8Variable_52__len__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_54assignValue(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_val); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_56getValue(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_58set_auto_maskandscale(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_maskandscale); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_60set_auto_scale(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_scale); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_62set_auto_mask(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_mask); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_64_put(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyArrayObject *__pyx_v_data, PyObject *__pyx_v_start, PyObject *__pyx_v_count, PyObject *__pyx_v_stride); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_66_get(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_start, PyObject *__pyx_v_count, PyObject *__pyx_v_stride); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_6_varid___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_6_varid_2__set__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_6_grpid___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
@@ -2851,6 +2866,9 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_9_enumtype_4__del__(struct __py
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_23__orthogonal_indexing_____get__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_23__orthogonal_indexing___2__set__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_23__orthogonal_indexing___4__del__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_8_has_lsd___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_8_has_lsd_2__set__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
+static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_8_has_lsd_4__del__(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_12CompoundType___init__(struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType *__pyx_v_self, PyObject *__pyx_v_grp, PyObject *__pyx_v_dt, PyObject *__pyx_v_dtype_name, PyObject *__pyx_v_kwargs); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_12CompoundType_2__repr__(struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_12CompoundType_4__unicode__(struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType *__pyx_v_self); /* proto */
@@ -2887,13 +2905,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8EnumType_4name_4__del__(struct __pyx_obj
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8EnumType_9enum_dict___get__(struct __pyx_obj_7netCDF4_8_netCDF4_EnumType *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_8EnumType_9enum_dict_2__set__(struct __pyx_obj_7netCDF4_8_netCDF4_EnumType *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_8EnumType_9enum_dict_4__del__(struct __pyx_obj_7netCDF4_8_netCDF4_EnumType *__pyx_v_self); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_6_dateparse(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_timestr); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8stringtoarr(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_string, PyObject *__pyx_v_NUMCHARS, PyObject *__pyx_v_dtype); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_10stringtochar(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_12chartostring(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_14date2num(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_dates, PyObject *__pyx_v_units, PyObject *__pyx_v_calendar); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_16num2date(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_times, PyObject *__pyx_v_units, PyObject *__pyx_v_calendar); /* proto */
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_18date2index(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_dates, PyObject *__pyx_v_nctime, PyObject *__pyx_v_calendar, PyObject *__pyx_v_select); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_6_to_ascii(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_bytestr); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8_dateparse(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_timestr); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_10stringtoarr(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_string, PyObject *__pyx_v_NUMCHARS, PyObject *__pyx_v_dtype); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_12stringtochar(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_a); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_14chartostring(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_16date2num(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_dates, PyObject *__pyx_v_units, PyObject *__pyx_v_calendar); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_18num2date(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_times, PyObject *__pyx_v_units, PyObject *__pyx_v_calendar); /* proto */
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_20date2index(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_dates, PyObject *__pyx_v_nctime, PyObject *__pyx_v_calendar, PyObject *__pyx_v_select); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9MFDataset_12__defaults__(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9MFDataset___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_files, PyObject *__pyx_v_check, PyObject *__pyx_v_aggdim, PyObject *__pyx_v_exclude); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9MFDataset_2__setattr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_name, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_tuple__97;
static PyObject *__pyx_tuple__98;
static PyObject *__pyx_slice__100;
-static PyObject *__pyx_slice__108;
-static PyObject *__pyx_slice__113;
+static PyObject *__pyx_slice__109;
static PyObject *__pyx_slice__114;
static PyObject *__pyx_slice__115;
static PyObject *__pyx_slice__116;
-static PyObject *__pyx_slice__119;
+static PyObject *__pyx_slice__117;
static PyObject *__pyx_slice__120;
static PyObject *__pyx_slice__121;
-static PyObject *__pyx_slice__123;
+static PyObject *__pyx_slice__122;
+static PyObject *__pyx_slice__124;
static PyObject *__pyx_tuple__101;
static PyObject *__pyx_tuple__102;
static PyObject *__pyx_tuple__103;
@@ -3053,23 +3072,23 @@ static PyObject *__pyx_tuple__104;
static PyObject *__pyx_tuple__105;
static PyObject *__pyx_tuple__106;
static PyObject *__pyx_tuple__107;
-static PyObject *__pyx_tuple__109;
+static PyObject *__pyx_tuple__108;
static PyObject *__pyx_tuple__110;
static PyObject *__pyx_tuple__111;
static PyObject *__pyx_tuple__112;
-static PyObject *__pyx_tuple__117;
+static PyObject *__pyx_tuple__113;
static PyObject *__pyx_tuple__118;
-static PyObject *__pyx_tuple__122;
-static PyObject *__pyx_tuple__124;
+static PyObject *__pyx_tuple__119;
+static PyObject *__pyx_tuple__123;
static PyObject *__pyx_tuple__125;
static PyObject *__pyx_tuple__126;
static PyObject *__pyx_tuple__127;
+static PyObject *__pyx_tuple__128;
static PyObject *__pyx_tuple__129;
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-static PyObject *__pyx_tuple__131;
+static PyObject *__pyx_tuple__132;
+static PyObject *__pyx_tuple__133;
static PyObject *__pyx_tuple__134;
static PyObject *__pyx_tuple__135;
-static PyObject *__pyx_tuple__136;
static PyObject *__pyx_tuple__137;
static PyObject *__pyx_tuple__139;
static PyObject *__pyx_tuple__140;
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static PyObject *__pyx_tuple__192;
static PyObject *__pyx_tuple__194;
static PyObject *__pyx_tuple__195;
-static PyObject *__pyx_codeobj__132;
-static PyObject *__pyx_codeobj__133;
+static PyObject *__pyx_codeobj__130;
+static PyObject *__pyx_codeobj__131;
+static PyObject *__pyx_codeobj__136;
static PyObject *__pyx_codeobj__138;
static PyObject *__pyx_codeobj__141;
static PyObject *__pyx_codeobj__143;
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static PyObject *__pyx_codeobj__191;
static PyObject *__pyx_codeobj__193;
static PyObject *__pyx_codeobj__196;
-static PyObject *__pyx_gb_7netCDF4_8_netCDF4_22generator(__pyx_CoroutineObject *__pyx_generator, PyObject *__pyx_sent_value); /* proto */
+static PyObject *__pyx_gb_7netCDF4_8_netCDF4_24generator(__pyx_CoroutineObject *__pyx_generator, PyObject *__pyx_sent_value); /* proto */
-/* "netCDF4/_netCDF4.pyx":1020
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*/
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+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_22genexpr(CYTHON_UNUSED PyObject *__pyx_self) {
struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *__pyx_cur_scope;
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}
-static PyObject *__pyx_gb_7netCDF4_8_netCDF4_22generator(__pyx_CoroutineObject *__pyx_generator, PyObject *__pyx_sent_value) /* generator body */
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_GIVEREF(__pyx_t_5);
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return __pyx_r;
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*/
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goto __pyx_L0;
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return __pyx_r;
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goto __pyx_L3;
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -3831,15 +3851,15 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__pyx_r = __pyx_v_attslist;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":1066
+ /* "netCDF4/_netCDF4.pyx":1064
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return __pyx_r;
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int __pyx_clineno = 0;
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__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1094
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__pyx_v_attname = __pyx_t_2;
- /* "netCDF4/_netCDF4.pyx":1097
+ /* "netCDF4/_netCDF4.pyx":1095
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+ /* "netCDF4/_netCDF4.pyx":1096
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1099
+ /* "netCDF4/_netCDF4.pyx":1097
* _grpid = grp._grpid
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}
- /* "netCDF4/_netCDF4.pyx":1098
+ /* "netCDF4/_netCDF4.pyx":1096
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}
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- /* "netCDF4/_netCDF4.pyx":1100
+ /* "netCDF4/_netCDF4.pyx":1098
* with nogil:
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if (__pyx_t_4) {
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+ /* "netCDF4/_netCDF4.pyx":1099
* ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1099; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1099; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1101; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1100
+ /* "netCDF4/_netCDF4.pyx":1098
* with nogil:
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*/
}
- /* "netCDF4/_netCDF4.pyx":1103
+ /* "netCDF4/_netCDF4.pyx":1101
* raise AttributeError((<char *>nc_strerror(ierr)).decode('ascii'))
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switch (__pyx_v_att_type) {
case NC_CHAR:
- /* "netCDF4/_netCDF4.pyx":1104
+ /* "netCDF4/_netCDF4.pyx":1102
* # attribute is a character or string ...
* if att_type == NC_CHAR:
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* with nogil:
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_empty); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1102; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = NULL;
__pyx_t_8 = 0;
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__pyx_t_8 = 1;
}
}
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if (__pyx_t_7) {
__Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_7); __pyx_t_7 = NULL;
@@ -4094,15 +4114,15 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
__Pyx_GIVEREF(__pyx_n_s_S1);
PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_8, __pyx_n_s_S1);
__pyx_t_5 = 0;
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__pyx_t_1 = 0;
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1106
+ /* "netCDF4/_netCDF4.pyx":1104
* value_arr = numpy.empty(att_len,'S1')
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}
- /* "netCDF4/_netCDF4.pyx":1105
+ /* "netCDF4/_netCDF4.pyx":1103
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}
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+ /* "netCDF4/_netCDF4.pyx":1105
* with nogil:
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__pyx_t_4 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_4) {
- /* "netCDF4/_netCDF4.pyx":1108
+ /* "netCDF4/_netCDF4.pyx":1106
* ierr = nc_get_att_text(_grpid, varid, attname, <char *>value_arr.data)
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goto __pyx_L11;
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- /* "netCDF4/_netCDF4.pyx":1115
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goto __pyx_L0;
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if (__pyx_t_4) {
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+ /* "netCDF4/_netCDF4.pyx":1118
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+ /* "netCDF4/_netCDF4.pyx":1120
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* pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
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__pyx_r = __pyx_v_pstring;
goto __pyx_L0;
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*/
}
- /* "netCDF4/_netCDF4.pyx":1125
+ /* "netCDF4/_netCDF4.pyx":1123
* return pstring
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1123; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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break;
default:
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__pyx_t_4 = ((__pyx_v_att_type == NC_LONG) != 0);
if (__pyx_t_4) {
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__pyx_v_att_type = NC_INT;
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+ /* "netCDF4/_netCDF4.pyx":1126
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+ /* "netCDF4/_netCDF4.pyx":1128
* if att_type == NC_LONG:
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__Pyx_XGOTREF(__pyx_t_14);
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+ /* "netCDF4/_netCDF4.pyx":1129
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+ __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s_nctonptype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1129; __pyx_clineno = __LINE__; goto __pyx_L19_error;}
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+ __pyx_t_11 = __Pyx_GetItemInt(__pyx_t_6, __pyx_v_att_type, nc_type, 1, __Pyx_PyInt_From_nc_type, 0, 1, 1); if (unlikely(__pyx_t_11 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1129; __pyx_clineno = __LINE__; goto __pyx_L19_error;};
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__Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_5); __pyx_t_5 = NULL;
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__Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
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if (__pyx_t_3) {
__Pyx_AddTraceback("netCDF4._netCDF4._get_att", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_11, &__pyx_t_7, &__pyx_t_9) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1131; __pyx_clineno = __LINE__; goto __pyx_L21_except_error;}
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__Pyx_GOTREF(__pyx_t_7);
__Pyx_GOTREF(__pyx_t_9);
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__Pyx_XGOTREF(__pyx_t_17);
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":1134
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__Pyx_XDECREF_SET(__pyx_v_type_att, __pyx_t_6);
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+ /* "netCDF4/_netCDF4.pyx":1135
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_19);
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__Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1223
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+ /* "netCDF4/_netCDF4.pyx":1285
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+ /* "netCDF4/_netCDF4.pyx":1286
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+ /* "netCDF4/_netCDF4.pyx":1285
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+ /* "netCDF4/_netCDF4.pyx":1287
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@@ -6839,7 +7019,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1292
+ /* "netCDF4/_netCDF4.pyx":1297
* xtype = typeids[n]
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}
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+ /* "netCDF4/_netCDF4.pyx":1296
* for n from 0 <= n < ntypes:
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}
}
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+ /* "netCDF4/_netCDF4.pyx":1299
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1295
+ /* "netCDF4/_netCDF4.pyx":1300
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1300; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1295; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1294
+ /* "netCDF4/_netCDF4.pyx":1299
* ierr = nc_inq_user_type(_grpid, xtype, namstring,
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*/
}
- /* "netCDF4/_netCDF4.pyx":1296
+ /* "netCDF4/_netCDF4.pyx":1301
* if ierr != NC_NOERR:
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switch (__pyx_v_classp) {
case NC_COMPOUND:
- /* "netCDF4/_netCDF4.pyx":1297
+ /* "netCDF4/_netCDF4.pyx":1302
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ __pyx_t_5 = __Pyx_PyObject_FromString(__pyx_v_namstring); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
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__Pyx_GOTREF(__pyx_t_5);
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+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_9 = 0;
@@ -6947,7 +7127,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
__pyx_t_9 = 1;
}
}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1297; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -6958,14 +7138,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1305
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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":1306
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+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_xtype, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1306; __pyx_clineno = __LINE__; goto __pyx_L21_error;}
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__Pyx_XDECREF_SET(__pyx_v_cmptype, __pyx_t_1);
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- /* "netCDF4/_netCDF4.pyx":1300
+ /* "netCDF4/_netCDF4.pyx":1305
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__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1302
+ /* "netCDF4/_netCDF4.pyx":1307
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__Pyx_AddTraceback("netCDF4._netCDF4._get_types", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_6, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1307; __pyx_clineno = __LINE__; goto __pyx_L23_except_error;}
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_10);
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_kp_s_WARNING_unsupported_Compound_typ);
- /* "netCDF4/_netCDF4.pyx":1304
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__Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_5); __pyx_t_5 = NULL;
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__Pyx_GIVEREF(__pyx_v_msg);
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__pyx_L28_try_end:;
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__pyx_t_9 = 1;
}
}
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_8); __pyx_t_8 = NULL;
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PyTuple_SET_ITEM(__pyx_t_15, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_6 = 0;
__pyx_t_7 = 0;
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__Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
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+ __pyx_t_10 = __pyx_f_7netCDF4_8_netCDF4__read_vlen(__pyx_v_group, __pyx_v_xtype, NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1317; __pyx_clineno = __LINE__; goto __pyx_L31_error;}
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__Pyx_XDECREF_SET(__pyx_v_vltype, __pyx_t_10);
__pyx_t_10 = 0;
- /* "netCDF4/_netCDF4.pyx":1311
+ /* "netCDF4/_netCDF4.pyx":1316
* # read the VLEN type info from the file,
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__Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1318
* try:
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__Pyx_AddTraceback("netCDF4._netCDF4._get_types", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_15);
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_kp_s_WARNING_unsupported_VLEN_type_sk);
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+ /* "netCDF4/_netCDF4.pyx":1320
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__Pyx_GIVEREF(__pyx_v_msg);
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__pyx_L33_except_error:;
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__pyx_L38_try_end:;
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*/
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*/
case NC_ENUM:
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+ /* "netCDF4/_netCDF4.pyx":1324
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_5);
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goto __pyx_L43_except_error;
__pyx_L43_except_error:;
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__pyx_L48_try_end:;
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- /* "netCDF4/_netCDF4.pyx":1328
+ /* "netCDF4/_netCDF4.pyx":1333
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__pyx_L13_continue:;
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- /* "netCDF4/_netCDF4.pyx":1329
+ /* "netCDF4/_netCDF4.pyx":1334
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*/
free(__pyx_v_typeids);
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+ /* "netCDF4/_netCDF4.pyx":1293
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*/
}
- /* "netCDF4/_netCDF4.pyx":1330
+ /* "netCDF4/_netCDF4.pyx":1335
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__Pyx_GIVEREF(__pyx_v_cmptypes);
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__pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1269
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return __pyx_r;
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+ /* "netCDF4/_netCDF4.pyx":1347
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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- /* "netCDF4/_netCDF4.pyx":1345
+ /* "netCDF4/_netCDF4.pyx":1350
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1350; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -7804,17 +7984,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
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if (__pyx_t_3) {
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- /* "netCDF4/_netCDF4.pyx":1348
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+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
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- /* "netCDF4/_netCDF4.pyx":1348
+ /* "netCDF4/_netCDF4.pyx":1353
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goto __pyx_L8;
}
- /* "netCDF4/_netCDF4.pyx":1354
+ /* "netCDF4/_netCDF4.pyx":1359
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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+ /* "netCDF4/_netCDF4.pyx":1362
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#endif
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- /* "netCDF4/_netCDF4.pyx":1358
+ /* "netCDF4/_netCDF4.pyx":1363
* for n from 0 <= n < numdims:
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- /* "netCDF4/_netCDF4.pyx":1357
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}
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+ /* "netCDF4/_netCDF4.pyx":1364
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+ /* "netCDF4/_netCDF4.pyx":1365
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__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1359
+ /* "netCDF4/_netCDF4.pyx":1364
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- /* "netCDF4/_netCDF4.pyx":1361
+ /* "netCDF4/_netCDF4.pyx":1366
* if ierr != NC_NOERR:
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -8085,7 +8265,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
__pyx_t_9 = 1;
}
}
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+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -8096,21 +8276,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1362
+ /* "netCDF4/_netCDF4.pyx":1367
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_INCREF(__pyx_v_name);
__Pyx_GIVEREF(__pyx_v_name);
PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_name);
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+ if (PyDict_SetItem(__pyx_t_6, __pyx_n_s_id, __pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1367; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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- /* "netCDF4/_netCDF4.pyx":1363
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*/
free(__pyx_v_dimids);
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*/
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goto __pyx_L0;
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_grpid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1378; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1379
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@@ -8249,7 +8429,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1375
+ /* "netCDF4/_netCDF4.pyx":1380
* _grpid = group._grpid
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}
- /* "netCDF4/_netCDF4.pyx":1374
+ /* "netCDF4/_netCDF4.pyx":1379
* # get number of groups in this Group.
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}
}
- /* "netCDF4/_netCDF4.pyx":1376
+ /* "netCDF4/_netCDF4.pyx":1381
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1382
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1376
+ /* "netCDF4/_netCDF4.pyx":1381
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*/
}
- /* "netCDF4/_netCDF4.pyx":1379
+ /* "netCDF4/_netCDF4.pyx":1384
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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* grpids = <int *>malloc(sizeof(int) * numgrps)
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1384; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1384; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_groups = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1380
+ /* "netCDF4/_netCDF4.pyx":1385
* # create dictionary containing `netCDF4.Group` instances for groups in this group
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__pyx_t_3 = ((__pyx_v_numgrps > 0) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1381
+ /* "netCDF4/_netCDF4.pyx":1386
* groups = OrderedDict()
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* grpids = <int *>malloc(sizeof(int) * numgrps) # <<<<<<<<<<<<<<
@@ -8368,7 +8548,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
*/
__pyx_v_grpids = ((int *)malloc(((sizeof(int)) * __pyx_v_numgrps)));
- /* "netCDF4/_netCDF4.pyx":1382
+ /* "netCDF4/_netCDF4.pyx":1387
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
@@ -8382,7 +8562,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1383
+ /* "netCDF4/_netCDF4.pyx":1388
* grpids = <int *>malloc(sizeof(int) * numgrps)
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}
- /* "netCDF4/_netCDF4.pyx":1382
+ /* "netCDF4/_netCDF4.pyx":1387
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
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}
}
- /* "netCDF4/_netCDF4.pyx":1384
+ /* "netCDF4/_netCDF4.pyx":1389
* with nogil:
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1385
+ /* "netCDF4/_netCDF4.pyx":1390
* ierr = nc_inq_grps(_grpid, NULL, grpids)
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+ /* "netCDF4/_netCDF4.pyx":1391
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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+ /* "netCDF4/_netCDF4.pyx":1392
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- /* "netCDF4/_netCDF4.pyx":1388
+ /* "netCDF4/_netCDF4.pyx":1393
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- /* "netCDF4/_netCDF4.pyx":1387
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+ /* "netCDF4/_netCDF4.pyx":1394
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1395
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1390; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1389
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- /* "netCDF4/_netCDF4.pyx":1416
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1418
+ /* "netCDF4/_netCDF4.pyx":1423
* if group.data_model == 'NETCDF4':
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@@ -8928,7 +9108,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
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}
- /* "netCDF4/_netCDF4.pyx":1417
+ /* "netCDF4/_netCDF4.pyx":1422
* varids = <int *>malloc(sizeof(int) * numvars)
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}
}
- /* "netCDF4/_netCDF4.pyx":1419
+ /* "netCDF4/_netCDF4.pyx":1424
* with nogil:
* ierr = nc_inq_varids(_grpid, &numvars, varids)
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1420
+ /* "netCDF4/_netCDF4.pyx":1425
* ierr = nc_inq_varids(_grpid, &numvars, varids)
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1420; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1425; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1419
+ /* "netCDF4/_netCDF4.pyx":1424
* with nogil:
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*/
}
- /* "netCDF4/_netCDF4.pyx":1416
+ /* "netCDF4/_netCDF4.pyx":1421
* # get variable ids.
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* if group.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
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goto __pyx_L8;
}
- /* "netCDF4/_netCDF4.pyx":1422
+ /* "netCDF4/_netCDF4.pyx":1427
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* else:
* for n from 0 <= n < numvars: # <<<<<<<<<<<<<<
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1423
+ /* "netCDF4/_netCDF4.pyx":1428
* else:
* for n from 0 <= n < numvars:
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}
__pyx_L8:;
- /* "netCDF4/_netCDF4.pyx":1425
+ /* "netCDF4/_netCDF4.pyx":1430
* varids[n] = n
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@@ -9031,7 +9211,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_2 = __pyx_v_numvars;
for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1426
+ /* "netCDF4/_netCDF4.pyx":1431
* # loop over variables.
* for n from 0 <= n < numvars:
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@@ -9040,7 +9220,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
__pyx_v_varid = (__pyx_v_varids[__pyx_v_n]);
- /* "netCDF4/_netCDF4.pyx":1428
+ /* "netCDF4/_netCDF4.pyx":1433
* varid = varids[n]
* # get variable name.
* with nogil: # <<<<<<<<<<<<<<
@@ -9054,7 +9234,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1429
+ /* "netCDF4/_netCDF4.pyx":1434
* # get variable name.
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@@ -9064,7 +9244,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_v_ierr = nc_inq_varname(__pyx_v__grpid, __pyx_v_varid, __pyx_v_namstring);
}
- /* "netCDF4/_netCDF4.pyx":1428
+ /* "netCDF4/_netCDF4.pyx":1433
* varid = varids[n]
* # get variable name.
* with nogil: # <<<<<<<<<<<<<<
@@ -9082,7 +9262,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1430
+ /* "netCDF4/_netCDF4.pyx":1435
* with nogil:
* ierr = nc_inq_varname(_grpid, varid, namstring)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -9092,7 +9272,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1431
+ /* "netCDF4/_netCDF4.pyx":1436
* ierr = nc_inq_varname(_grpid, varid, namstring)
* if ierr != NC_NOERR:
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@@ -9100,22 +9280,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
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*/
__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1430
+ /* "netCDF4/_netCDF4.pyx":1435
* with nogil:
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*/
}
- /* "netCDF4/_netCDF4.pyx":1432
+ /* "netCDF4/_netCDF4.pyx":1437
* if ierr != NC_NOERR:
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*/
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+ __pyx_t_5 = __Pyx_PyObject_FromString(__pyx_v_namstring); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
- __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_9 = 0;
@@ -9152,7 +9332,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_9 = 1;
}
}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -9163,14 +9343,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1433
+ /* "netCDF4/_netCDF4.pyx":1438
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -9180,7 +9360,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1434
+ /* "netCDF4/_netCDF4.pyx":1439
* name = namstring.decode(default_encoding,unicode_error)
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@@ -9188,22 +9368,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
* with nogil:
*/
__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1434; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1433
+ /* "netCDF4/_netCDF4.pyx":1438
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*/
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- /* "netCDF4/_netCDF4.pyx":1436
+ /* "netCDF4/_netCDF4.pyx":1441
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1437
+ /* "netCDF4/_netCDF4.pyx":1442
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}
- /* "netCDF4/_netCDF4.pyx":1436
+ /* "netCDF4/_netCDF4.pyx":1441
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@@ -9254,7 +9434,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1438
+ /* "netCDF4/_netCDF4.pyx":1443
* with nogil:
* ierr = nc_inq_vartype(_grpid, varid, &xtype)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -9264,7 +9444,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1439
+ /* "netCDF4/_netCDF4.pyx":1444
* ierr = nc_inq_vartype(_grpid, varid, &xtype)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -9272,22 +9452,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
* endianness = None
*/
__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1438
+ /* "netCDF4/_netCDF4.pyx":1443
* with nogil:
* ierr = nc_inq_vartype(_grpid, varid, &xtype)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -9296,7 +9476,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1441
+ /* "netCDF4/_netCDF4.pyx":1446
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* # get endian-ness of variable.
* endianness = None # <<<<<<<<<<<<<<
@@ -9306,20 +9486,20 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(Py_None);
__Pyx_XDECREF_SET(__pyx_v_endianness, Py_None);
- /* "netCDF4/_netCDF4.pyx":1444
+ /* "netCDF4/_netCDF4.pyx":1449
* # assume data returned by HDF4 lib has already been byte-swapped
* # (if needed) so that it is in native endian format (issue #391).
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* with nogil:
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
*/
- __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_disk_format); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_disk_format); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1449; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_HDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_HDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1449; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1445
+ /* "netCDF4/_netCDF4.pyx":1450
* # (if needed) so that it is in native endian format (issue #391).
* if group.disk_format != 'HDF4':
* with nogil: # <<<<<<<<<<<<<<
@@ -9333,7 +9513,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1446
+ /* "netCDF4/_netCDF4.pyx":1451
* if group.disk_format != 'HDF4':
* with nogil:
* ierr = nc_inq_var_endian(_grpid, varid, &iendian) # <<<<<<<<<<<<<<
@@ -9343,7 +9523,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_v_ierr = nc_inq_var_endian(__pyx_v__grpid, __pyx_v_varid, (&__pyx_v_iendian));
}
- /* "netCDF4/_netCDF4.pyx":1445
+ /* "netCDF4/_netCDF4.pyx":1450
* # (if needed) so that it is in native endian format (issue #391).
* if group.disk_format != 'HDF4':
* with nogil: # <<<<<<<<<<<<<<
@@ -9361,7 +9541,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1447
+ /* "netCDF4/_netCDF4.pyx":1452
* with nogil:
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
* if ierr == NC_NOERR: # <<<<<<<<<<<<<<
@@ -9371,7 +9551,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr == NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1448
+ /* "netCDF4/_netCDF4.pyx":1453
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -9381,7 +9561,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
switch (__pyx_v_iendian) {
case NC_ENDIAN_LITTLE:
- /* "netCDF4/_netCDF4.pyx":1449
+ /* "netCDF4/_netCDF4.pyx":1454
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<' # <<<<<<<<<<<<<<
@@ -9391,7 +9571,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(__pyx_kp_s__14);
__Pyx_DECREF_SET(__pyx_v_endianness, __pyx_kp_s__14);
- /* "netCDF4/_netCDF4.pyx":1448
+ /* "netCDF4/_netCDF4.pyx":1453
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -9400,7 +9580,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
break;
- /* "netCDF4/_netCDF4.pyx":1450
+ /* "netCDF4/_netCDF4.pyx":1455
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -9409,7 +9589,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
case NC_ENDIAN_BIG:
- /* "netCDF4/_netCDF4.pyx":1451
+ /* "netCDF4/_netCDF4.pyx":1456
* endianness = '<'
* elif iendian == NC_ENDIAN_BIG:
* endianness = '>' # <<<<<<<<<<<<<<
@@ -9419,7 +9599,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(__pyx_kp_s__15);
__Pyx_DECREF_SET(__pyx_v_endianness, __pyx_kp_s__15);
- /* "netCDF4/_netCDF4.pyx":1450
+ /* "netCDF4/_netCDF4.pyx":1455
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -9430,7 +9610,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
default: break;
}
- /* "netCDF4/_netCDF4.pyx":1447
+ /* "netCDF4/_netCDF4.pyx":1452
* with nogil:
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
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@@ -9439,7 +9619,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1444
+ /* "netCDF4/_netCDF4.pyx":1449
* # assume data returned by HDF4 lib has already been byte-swapped
* # (if needed) so that it is in native endian format (issue #391).
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@@ -9448,7 +9628,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1453
+ /* "netCDF4/_netCDF4.pyx":1458
* endianness = '>'
* # check to see if it is a supported user-defined type.
* try: # <<<<<<<<<<<<<<
@@ -9462,22 +9642,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1454
+ /* "netCDF4/_netCDF4.pyx":1459
* # check to see if it is a supported user-defined type.
* try:
* datatype = _nctonptype[xtype] # <<<<<<<<<<<<<<
* if endianness is not None:
* datatype = endianness + datatype
*/
- __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_nctonptype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1454; __pyx_clineno = __LINE__; goto __pyx_L37_error;}
+ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_nctonptype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1459; __pyx_clineno = __LINE__; goto __pyx_L37_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_6 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_xtype, nc_type, 1, __Pyx_PyInt_From_nc_type, 0, 1, 1); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1454; __pyx_clineno = __LINE__; goto __pyx_L37_error;};
+ __pyx_t_6 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_xtype, nc_type, 1, __Pyx_PyInt_From_nc_type, 0, 1, 1); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1459; __pyx_clineno = __LINE__; goto __pyx_L37_error;};
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1455
+ /* "netCDF4/_netCDF4.pyx":1460
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* if endianness is not None: # <<<<<<<<<<<<<<
@@ -9488,19 +9668,19 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_14 = (__pyx_t_3 != 0);
if (__pyx_t_14) {
- /* "netCDF4/_netCDF4.pyx":1456
+ /* "netCDF4/_netCDF4.pyx":1461
* datatype = _nctonptype[xtype]
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*/
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+ __pyx_t_6 = PyNumber_Add(__pyx_v_endianness, __pyx_v_datatype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1461; __pyx_clineno = __LINE__; goto __pyx_L37_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1455
+ /* "netCDF4/_netCDF4.pyx":1460
* try:
* datatype = _nctonptype[xtype]
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@@ -9509,7 +9689,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1453
+ /* "netCDF4/_netCDF4.pyx":1458
* endianness = '>'
* # check to see if it is a supported user-defined type.
* try: # <<<<<<<<<<<<<<
@@ -9529,7 +9709,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1457
+ /* "netCDF4/_netCDF4.pyx":1462
* if endianness is not None:
* datatype = endianness + datatype
* except KeyError: # <<<<<<<<<<<<<<
@@ -9539,12 +9719,12 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_15 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
if (__pyx_t_15) {
__Pyx_AddTraceback("netCDF4._netCDF4._get_vars", __pyx_clineno, __pyx_lineno, __pyx_filename);
- if (__Pyx_GetException(&__pyx_t_6, &__pyx_t_1, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1457; __pyx_clineno = __LINE__; goto __pyx_L39_except_error;}
+ if (__Pyx_GetException(&__pyx_t_6, &__pyx_t_1, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1462; __pyx_clineno = __LINE__; goto __pyx_L39_except_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_10);
- /* "netCDF4/_netCDF4.pyx":1458
+ /* "netCDF4/_netCDF4.pyx":1463
* datatype = endianness + datatype
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@@ -9554,7 +9734,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_14 = ((__pyx_v_xtype == NC_STRING) != 0);
if (__pyx_t_14) {
- /* "netCDF4/_netCDF4.pyx":1459
+ /* "netCDF4/_netCDF4.pyx":1464
* except KeyError:
* if xtype == NC_STRING:
* datatype = str # <<<<<<<<<<<<<<
@@ -9564,7 +9744,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(((PyObject *)(&PyString_Type)));
__Pyx_XDECREF_SET(__pyx_v_datatype, ((PyObject *)(&PyString_Type)));
- /* "netCDF4/_netCDF4.pyx":1458
+ /* "netCDF4/_netCDF4.pyx":1463
* datatype = endianness + datatype
* except KeyError:
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@@ -9574,7 +9754,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
goto __pyx_L48;
}
- /* "netCDF4/_netCDF4.pyx":1461
+ /* "netCDF4/_netCDF4.pyx":1466
* datatype = str
* else:
* with nogil: # <<<<<<<<<<<<<<
@@ -9589,7 +9769,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1462
+ /* "netCDF4/_netCDF4.pyx":1467
* else:
* with nogil:
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp, # <<<<<<<<<<<<<<
@@ -9599,7 +9779,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_v_ierr = nc_inq_user_type(__pyx_v__grpid, __pyx_v_xtype, __pyx_v_namstring_cmp, NULL, NULL, NULL, (&__pyx_v_classp));
}
- /* "netCDF4/_netCDF4.pyx":1461
+ /* "netCDF4/_netCDF4.pyx":1466
* datatype = str
* else:
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@@ -9617,7 +9797,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1464
+ /* "netCDF4/_netCDF4.pyx":1469
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp,
* NULL, NULL, NULL, &classp)
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@@ -9627,7 +9807,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
switch (__pyx_v_classp) {
case NC_COMPOUND:
- /* "netCDF4/_netCDF4.pyx":1466
+ /* "netCDF4/_netCDF4.pyx":1471
* if classp == NC_COMPOUND: # a compound type
* # create CompoundType instance describing this compound type.
* try: # <<<<<<<<<<<<<<
@@ -9641,7 +9821,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XGOTREF(__pyx_t_18);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1467
+ /* "netCDF4/_netCDF4.pyx":1472
* # create CompoundType instance describing this compound type.
* try:
* datatype = _read_compound(group, xtype, endian=endianness) # <<<<<<<<<<<<<<
@@ -9650,12 +9830,12 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
__pyx_t_19.__pyx_n = 1;
__pyx_t_19.endian = __pyx_v_endianness;
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+ __pyx_t_7 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_xtype, &__pyx_t_19); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1472; __pyx_clineno = __LINE__; goto __pyx_L54_error;}
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__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":1471
* if classp == NC_COMPOUND: # a compound type
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__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
- /* "netCDF4/_netCDF4.pyx":1468
+ /* "netCDF4/_netCDF4.pyx":1473
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__Pyx_AddTraceback("netCDF4._netCDF4._get_vars", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_GOTREF(__pyx_t_5);
__Pyx_GOTREF(__pyx_t_8);
- /* "netCDF4/_netCDF4.pyx":1469
+ /* "netCDF4/_netCDF4.pyx":1474
* datatype = _read_compound(group, xtype, endian=endianness)
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+ __pyx_t_21 = __Pyx_GetModuleGlobalName(__pyx_n_s_warnings); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1475; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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+ __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_21, __pyx_n_s_warn); if (unlikely(!__pyx_t_22)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1475; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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goto __pyx_L56_except_error;
__pyx_L56_except_error:;
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__pyx_L61_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":1464
+ /* "netCDF4/_netCDF4.pyx":1469
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*/
break;
- /* "netCDF4/_netCDF4.pyx":1472
+ /* "netCDF4/_netCDF4.pyx":1477
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*/
case NC_VLEN:
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__Pyx_XGOTREF(__pyx_t_16);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1475
+ /* "netCDF4/_netCDF4.pyx":1480
* # create VLType instance describing this compound type.
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__pyx_t_24.endian = __pyx_v_endianness;
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+ __pyx_t_8 = __pyx_f_7netCDF4_8_netCDF4__read_vlen(__pyx_v_group, __pyx_v_xtype, &__pyx_t_24); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1480; __pyx_clineno = __LINE__; goto __pyx_L64_error;}
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__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_8);
__pyx_t_8 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1479
* elif classp == NC_VLEN: # a compound type
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__Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
- /* "netCDF4/_netCDF4.pyx":1476
+ /* "netCDF4/_netCDF4.pyx":1481
* try:
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__pyx_t_15 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
if (__pyx_t_15) {
__Pyx_AddTraceback("netCDF4._netCDF4._get_vars", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_8, &__pyx_t_5, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1481; __pyx_clineno = __LINE__; goto __pyx_L66_except_error;}
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__Pyx_GOTREF(__pyx_t_5);
__Pyx_GOTREF(__pyx_t_7);
- /* "netCDF4/_netCDF4.pyx":1477
+ /* "netCDF4/_netCDF4.pyx":1482
* datatype = _read_vlen(group, xtype, endian=endianness)
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+ __pyx_t_20 = __Pyx_PyString_Format(__pyx_kp_s_WARNING_variable_s_has_unsupport_2, __pyx_v_name); if (unlikely(!__pyx_t_20)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1482; __pyx_clineno = __LINE__; goto __pyx_L66_except_error;}
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__Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
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goto __pyx_L66_except_error;
__pyx_L66_except_error:;
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__pyx_L71_try_end:;
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- /* "netCDF4/_netCDF4.pyx":1472
+ /* "netCDF4/_netCDF4.pyx":1477
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break;
- /* "netCDF4/_netCDF4.pyx":1480
+ /* "netCDF4/_netCDF4.pyx":1485
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*/
case NC_ENUM:
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+ /* "netCDF4/_netCDF4.pyx":1487
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__Pyx_XGOTREF(__pyx_t_18);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1483
+ /* "netCDF4/_netCDF4.pyx":1488
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__pyx_t_25.endian = __pyx_v_endianness;
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+ __pyx_t_7 = __pyx_f_7netCDF4_8_netCDF4__read_enum(__pyx_v_group, __pyx_v_xtype, &__pyx_t_25); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1488; __pyx_clineno = __LINE__; goto __pyx_L74_error;}
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__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_7);
__pyx_t_7 = 0;
- /* "netCDF4/_netCDF4.pyx":1482
+ /* "netCDF4/_netCDF4.pyx":1487
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__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
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goto __pyx_L76_except_error;
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__pyx_L81_try_end:;
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__Pyx_INCREF(__pyx_v_group);
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_variables, __pyx_v_name, __pyx_t_8) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1527; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1528
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+ __pyx_t_14 = (__Pyx_PyString_Equals(__pyx_v_endianness, __pyx_kp_s__14, Py_EQ)); if (unlikely(__pyx_t_14 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_14) {
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* variables[name] = Variable(group, name, datatype, dimensions, id=varid, endian='big')
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_INCREF(__pyx_v_dimensions);
__Pyx_GIVEREF(__pyx_v_dimensions);
PyTuple_SET_ITEM(__pyx_t_8, 3, __pyx_v_dimensions);
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_variables, __pyx_v_name, __pyx_t_6) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1529; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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+ if (unlikely(PyObject_SetItem(__pyx_v_variables, __pyx_v_name, __pyx_t_8) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1531; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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free(__pyx_v_varids);
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}
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+ /* "netCDF4/_netCDF4.pyx":1533
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goto __pyx_L0;
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__pyx_L3_error:;
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goto __pyx_L8;
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goto __pyx_L20;
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goto __pyx_L19;
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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goto __pyx_L23;
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+ /* "netCDF4/_netCDF4.pyx":1795
* ierr = nc_create(path, NC_WRITE | NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
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__Pyx_GOTREF(__pyx_t_6);
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+ __pyx_t_7 = __Pyx_PyInt_As_int(__pyx_t_6); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L23:;
- /* "netCDF4/_netCDF4.pyx":1785
+ /* "netCDF4/_netCDF4.pyx":1791
* ierr = nc_create(path, NC_SHARE | NC_CLOBBER, &grpid)
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goto __pyx_L22;
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+ /* "netCDF4/_netCDF4.pyx":1797
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
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}
__pyx_L19:;
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+ /* "netCDF4/_netCDF4.pyx":1781
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goto __pyx_L6;
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+ /* "netCDF4/_netCDF4.pyx":1799
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__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
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*/
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__Pyx_GIVEREF(__pyx_t_6);
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__pyx_t_6 = 0;
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*/
__pyx_v_self->_grpid = __pyx_v_grpid;
- /* "netCDF4/_netCDF4.pyx":1807
+ /* "netCDF4/_netCDF4.pyx":1813
* # raise ValueError("diskless access only supported for NETCDF3_CLASSIC format")
* self._grpid = grpid
* self._isopen = 1 # <<<<<<<<<<<<<<
@@ -12009,7 +12189,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
*/
__pyx_v_self->_isopen = 1;
- /* "netCDF4/_netCDF4.pyx":1808
+ /* "netCDF4/_netCDF4.pyx":1814
* self._grpid = grpid
* self._isopen = 1
* self.path = '/' # <<<<<<<<<<<<<<
@@ -12022,7 +12202,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_DECREF(__pyx_v_self->path);
__pyx_v_self->path = __pyx_kp_s__16;
- /* "netCDF4/_netCDF4.pyx":1809
+ /* "netCDF4/_netCDF4.pyx":1815
* self._isopen = 1
* self.path = '/'
* self.parent = None # <<<<<<<<<<<<<<
@@ -12035,7 +12215,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_DECREF(__pyx_v_self->parent);
__pyx_v_self->parent = Py_None;
- /* "netCDF4/_netCDF4.pyx":1810
+ /* "netCDF4/_netCDF4.pyx":1816
* self.path = '/'
* self.parent = None
* self.keepweakref = keepweakref # <<<<<<<<<<<<<<
@@ -12048,14 +12228,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_DECREF(__pyx_v_self->keepweakref);
__pyx_v_self->keepweakref = __pyx_v_keepweakref;
- /* "netCDF4/_netCDF4.pyx":1812
+ /* "netCDF4/_netCDF4.pyx":1818
* self.keepweakref = keepweakref
* # get compound, vlen and enum types in the root Group.
* self.cmptypes, self.vltypes, self.enumtypes = _get_types(self) # <<<<<<<<<<<<<<
* # get dimensions in the root group.
* self.dimensions = _get_dims(self)
*/
- __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
if ((likely(PyTuple_CheckExact(__pyx_t_6))) || (PyList_CheckExact(__pyx_t_6))) {
PyObject* sequence = __pyx_t_6;
@@ -12067,7 +12247,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
if (unlikely(size != 3)) {
if (size > 3) __Pyx_RaiseTooManyValuesError(3);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
#if CYTHON_COMPILING_IN_CPYTHON
if (likely(PyTuple_CheckExact(sequence))) {
@@ -12083,17 +12263,17 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_INCREF(__pyx_t_3);
__Pyx_INCREF(__pyx_t_8);
#else
- __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
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+ __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_8 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_8 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_8);
#endif
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
} else {
Py_ssize_t index = -1;
- __pyx_t_9 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_9 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_9);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_10 = Py_TYPE(__pyx_t_9)->tp_iternext;
@@ -12103,7 +12283,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_GOTREF(__pyx_t_3);
index = 2; __pyx_t_8 = __pyx_t_10(__pyx_t_9); if (unlikely(!__pyx_t_8)) goto __pyx_L25_unpacking_failed;
__Pyx_GOTREF(__pyx_t_8);
- if (__Pyx_IternextUnpackEndCheck(__pyx_t_10(__pyx_t_9), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_10(__pyx_t_9), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = NULL;
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
goto __pyx_L26_unpacking_done;
@@ -12111,7 +12291,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
__pyx_t_10 = NULL;
if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_L26_unpacking_done:;
}
__Pyx_GIVEREF(__pyx_t_4);
@@ -12130,14 +12310,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->enumtypes = __pyx_t_8;
__pyx_t_8 = 0;
- /* "netCDF4/_netCDF4.pyx":1814
+ /* "netCDF4/_netCDF4.pyx":1820
* self.cmptypes, self.vltypes, self.enumtypes = _get_types(self)
* # get dimensions in the root group.
* self.dimensions = _get_dims(self) # <<<<<<<<<<<<<<
* # get variables in the root Group.
* self.variables = _get_vars(self)
*/
- __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_dims(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_dims(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1820; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->dimensions);
@@ -12145,14 +12325,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->dimensions = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1816
+ /* "netCDF4/_netCDF4.pyx":1822
* self.dimensions = _get_dims(self)
* # get variables in the root Group.
* self.variables = _get_vars(self) # <<<<<<<<<<<<<<
* # get groups in the root Group.
* if self.data_model == 'NETCDF4':
*/
- __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_vars(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1816; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_vars(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->variables);
@@ -12160,24 +12340,24 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->variables = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1818
+ /* "netCDF4/_netCDF4.pyx":1824
* self.variables = _get_vars(self)
* # get groups in the root Group.
* if self.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
* self.groups = _get_grps(self)
* else:
*/
- __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":1819
+ /* "netCDF4/_netCDF4.pyx":1825
* # get groups in the root Group.
* if self.data_model == 'NETCDF4':
* self.groups = _get_grps(self) # <<<<<<<<<<<<<<
* else:
* self.groups = OrderedDict()
*/
- __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_grps(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_grps(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->groups);
@@ -12185,7 +12365,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->groups = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1818
+ /* "netCDF4/_netCDF4.pyx":1824
* self.variables = _get_vars(self)
* # get groups in the root Group.
* if self.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
@@ -12195,7 +12375,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
goto __pyx_L27;
}
- /* "netCDF4/_netCDF4.pyx":1821
+ /* "netCDF4/_netCDF4.pyx":1827
* self.groups = _get_grps(self)
* else:
* self.groups = OrderedDict() # <<<<<<<<<<<<<<
@@ -12203,7 +12383,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
* # these allow Dataset objects to be used via a "with" statement.
*/
/*else*/ {
- __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_8);
__pyx_t_3 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_8))) {
@@ -12216,10 +12396,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
}
}
if (__pyx_t_3) {
- __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
} else {
- __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
@@ -12231,7 +12411,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
}
__pyx_L27:;
- /* "netCDF4/_netCDF4.pyx":1662
+ /* "netCDF4/_netCDF4.pyx":1668
* the parent Dataset or Group."""
*
* def __init__(self, filename, mode='r', clobber=True, format='NETCDF4', # <<<<<<<<<<<<<<
@@ -12256,7 +12436,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1824
+/* "netCDF4/_netCDF4.pyx":1830
*
* # these allow Dataset objects to be used via a "with" statement.
* def __enter__(self): # <<<<<<<<<<<<<<
@@ -12282,7 +12462,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_2__enter__(struct __pyx_ob
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__enter__", 0);
- /* "netCDF4/_netCDF4.pyx":1825
+ /* "netCDF4/_netCDF4.pyx":1831
* # these allow Dataset objects to be used via a "with" statement.
* def __enter__(self):
* return self # <<<<<<<<<<<<<<
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__pyx_r = ((PyObject *)__pyx_v_self);
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":1824
+ /* "netCDF4/_netCDF4.pyx":1830
*
* # these allow Dataset objects to be used via a "with" statement.
* def __enter__(self): # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1826
+/* "netCDF4/_netCDF4.pyx":1832
* def __enter__(self):
* return self
* def __exit__(self,atype,value,traceback): # <<<<<<<<<<<<<<
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case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1826; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_traceback)) != 0)) kw_args--;
else {
- __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1826; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
}
if (unlikely(kw_args > 0)) {
- if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__exit__") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1826; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__exit__") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
goto __pyx_L5_argtuple_error;
@@ -12374,7 +12554,7 @@ static PyObject *__pyx_pw_7netCDF4_8_netCDF4_7Dataset_5__exit__(PyObject *__pyx_
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
- __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1826; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("__exit__", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4._netCDF4.Dataset.__exit__", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -12398,14 +12578,14 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_4__exit__(struct __pyx_obj
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__exit__", 0);
- /* "netCDF4/_netCDF4.pyx":1827
+ /* "netCDF4/_netCDF4.pyx":1833
* return self
* def __exit__(self,atype,value,traceback):
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*
* def __getitem__(self, elem):
*/
- __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_close); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_close); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_2))) {
@@ -12418,16 +12598,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_4__exit__(struct __pyx_obj
}
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return __pyx_r;
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+ __Pyx_RaiseArgtupleInvalid("renameDimension", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2009; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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return __pyx_r;
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@@ -16024,15 +16204,15 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
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__Pyx_DECREF_SET(__pyx_v_varname, __pyx_t_2);
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__Pyx_INCREF(((PyObject *)__pyx_v_self));
__pyx_v_group = ((PyObject *)__pyx_v_self);
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goto __pyx_L5;
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__Pyx_INCREF(__pyx_v_dirname);
__Pyx_GIVEREF(__pyx_v_dirname);
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return __pyx_r;
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else {
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+ __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2219; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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goto __pyx_L5_argtuple_error;
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__Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_7);
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+ __pyx_t_11 = (__Pyx_PyString_Equals(__pyx_v_self->data_model, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_11 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2231; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_redef); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2231; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L0;
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+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_64renameAttribute(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset *__pyx_v_self, PyObject *__pyx_v_oldname, PyObject *__pyx_v_newname) {
int __pyx_v_ierr;
char *__pyx_v_oldnamec;
char *__pyx_v_newnamec;
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__Pyx_RefNannySetupContext("__init__", 0);
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__pyx_v_self->__pyx_base.data_model = __pyx_t_1;
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__pyx_v_self->__pyx_base.file_format = __pyx_t_1;
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__Pyx_GIVEREF(__pyx_v_name);
PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_5, __pyx_v_name);
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__pyx_v_self->__pyx_base.path = __pyx_t_1;
__pyx_t_1 = 0;
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__pyx_v_self->__pyx_base.parent = __pyx_v_parent;
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.keepweakref);
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__pyx_v_self->__pyx_base.keepweakref = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2556
+ /* "netCDF4/_netCDF4.pyx":2586
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":2557
+ /* "netCDF4/_netCDF4.pyx":2587
* self.keepweakref = parent.keepweakref
* if 'id' in kwargs:
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__pyx_v_self->__pyx_base._grpid = __pyx_t_9;
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if (size > 3) __Pyx_RaiseTooManyValuesError(3);
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__pyx_v_self->__pyx_base.variables = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2565
+ /* "netCDF4/_netCDF4.pyx":2595
* self.variables = _get_vars(self)
* # get groups in this Group.
* self.groups = _get_grps(self) # <<<<<<<<<<<<<<
* else:
* bytestr = _strencode(name)
*/
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+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_grps(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2595; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.groups);
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__pyx_v_self->__pyx_base.groups = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2556
+ /* "netCDF4/_netCDF4.pyx":2586
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goto __pyx_L3;
}
- /* "netCDF4/_netCDF4.pyx":2567
+ /* "netCDF4/_netCDF4.pyx":2597
* self.groups = _get_grps(self)
* else:
* bytestr = _strencode(name) # <<<<<<<<<<<<<<
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+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__strencode(__pyx_v_name, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2597; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":2598
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+ __pyx_t_11 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_11) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2598; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_groupname = __pyx_t_11;
- /* "netCDF4/_netCDF4.pyx":2569
+ /* "netCDF4/_netCDF4.pyx":2599
* bytestr = _strencode(name)
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_parent, __pyx_n_s_grpid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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+ __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":2570
+ /* "netCDF4/_netCDF4.pyx":2600
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if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":2571
+ /* "netCDF4/_netCDF4.pyx":2601
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- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_11, 0, strlen(__pyx_t_11), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_11, 0, strlen(__pyx_t_11), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2570
+ /* "netCDF4/_netCDF4.pyx":2600
* groupname = bytestr
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*/
}
- /* "netCDF4/_netCDF4.pyx":2572
+ /* "netCDF4/_netCDF4.pyx":2602
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* self.cmptypes = OrderedDict() # <<<<<<<<<<<<<<
* self.vltypes = OrderedDict()
* self.enumtypes = OrderedDict()
*/
- __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2572; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2602; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -22511,10 +22878,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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}
if (__pyx_t_6) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2572; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2602; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
} else {
- __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2572; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2602; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
@@ -22524,14 +22891,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.cmptypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2573
+ /* "netCDF4/_netCDF4.pyx":2603
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* self.cmptypes = OrderedDict()
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* self.dimensions = OrderedDict()
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- __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2573; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2603; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_6 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
@@ -22544,10 +22911,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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}
if (__pyx_t_6) {
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2603; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2573; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2603; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
@@ -22557,14 +22924,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.vltypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2574
+ /* "netCDF4/_netCDF4.pyx":2604
* self.cmptypes = OrderedDict()
* self.vltypes = OrderedDict()
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* self.dimensions = OrderedDict()
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2604; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_6 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
@@ -22577,10 +22944,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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if (__pyx_t_6) {
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2604; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
@@ -22590,14 +22957,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.enumtypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2575
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* self.vltypes = OrderedDict()
* self.enumtypes = OrderedDict()
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* self.variables = OrderedDict()
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
@@ -22610,10 +22977,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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__pyx_v_self->__pyx_base.dimensions = __pyx_t_1;
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2606; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2606; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":2631
* def __get__(self):
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return __pyx_r;
}
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case 1:
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else {
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2660; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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}
}
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}
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switch (PyTuple_GET_SIZE(__pyx_args)) {
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goto __pyx_L4_argument_unpacking_done;
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2660; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__init__", 0);
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_keepweakref); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2682; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2682; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_weakref); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2683; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_proxy); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_proxy); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2683; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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}
}
if (!__pyx_t_4) {
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+ __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2683; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4); __pyx_t_4 = NULL;
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__Pyx_GIVEREF(__pyx_v_grp);
PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_v_grp);
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__pyx_v_self->_grp = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2652
+ /* "netCDF4/_netCDF4.pyx":2682
* # make a weakref to group to avoid circular ref (issue 218)
* # keep strong reference the default behaviour (issue 251)
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@@ -23309,7 +23676,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
goto __pyx_L3;
}
- /* "netCDF4/_netCDF4.pyx":2655
+ /* "netCDF4/_netCDF4.pyx":2685
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}
__pyx_L3:;
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+ /* "netCDF4/_netCDF4.pyx":2686
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*/
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->_data_model);
@@ -23340,7 +23707,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
__pyx_v_self->_data_model = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2657
+ /* "netCDF4/_netCDF4.pyx":2687
* self._grp = grp
* self._data_model = grp.data_model
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@@ -23353,31 +23720,31 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
__Pyx_DECREF(__pyx_v_self->_name);
__pyx_v_self->_name = __pyx_v_name;
- /* "netCDF4/_netCDF4.pyx":2658
+ /* "netCDF4/_netCDF4.pyx":2688
* self._data_model = grp.data_model
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* self._dimid = kwargs['id']
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+ __pyx_t_3 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_id, __pyx_v_kwargs, Py_EQ)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2688; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_7 = (__pyx_t_3 != 0);
if (__pyx_t_7) {
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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goto __pyx_L4;
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+ /* "netCDF4/_netCDF4.pyx":2691
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__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
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* bytestr = _strencode(name)
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__pyx_t_3 = (__pyx_t_7 != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":2664
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* if size is not None:
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return __pyx_r;
}
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* return lengthp
*
* def group(self): # <<<<<<<<<<<<<<
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__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("group", 0);
- /* "netCDF4/_netCDF4.pyx":2727
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__pyx_r = __pyx_v_self->_grp;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2722
+ /* "netCDF4/_netCDF4.pyx":2752
* return lengthp
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@@ -24648,7 +25015,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_10group(struct __pyx_obj
return __pyx_r;
}
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* return self._grp
*
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("isunlimited", 0);
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*/
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+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_v_self->_data_model, __pyx_n_s_NETCDF4, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
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+ /* "netCDF4/_netCDF4.pyx":2767
* cdef int *unlimdimids
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@@ -24714,7 +25081,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
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- /* "netCDF4/_netCDF4.pyx":2738
+ /* "netCDF4/_netCDF4.pyx":2768
* if self._data_model == 'NETCDF4':
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@@ -24724,7 +25091,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":2739
+ /* "netCDF4/_netCDF4.pyx":2769
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, NULL)
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*/
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2769; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2739; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2769; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2739; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2769; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2738
+ /* "netCDF4/_netCDF4.pyx":2768
* if self._data_model == 'NETCDF4':
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, NULL)
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@@ -24756,7 +25123,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
}
- /* "netCDF4/_netCDF4.pyx":2740
+ /* "netCDF4/_netCDF4.pyx":2770
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if numunlimdims == 0: # <<<<<<<<<<<<<<
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__pyx_t_1 = ((__pyx_v_numunlimdims == 0) != 0);
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":2741
+ /* "netCDF4/_netCDF4.pyx":2771
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if numunlimdims == 0:
* return False # <<<<<<<<<<<<<<
@@ -24778,7 +25145,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_r = Py_False;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2740
+ /* "netCDF4/_netCDF4.pyx":2770
* if ierr != NC_NOERR:
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* if numunlimdims == 0: # <<<<<<<<<<<<<<
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*/
}
- /* "netCDF4/_netCDF4.pyx":2743
+ /* "netCDF4/_netCDF4.pyx":2773
* return False
* else:
* unlimdimids = <int *>malloc(sizeof(int) * numunlimdims) # <<<<<<<<<<<<<<
@@ -24797,7 +25164,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
/*else*/ {
__pyx_v_unlimdimids = ((int *)malloc(((sizeof(int)) * __pyx_v_numunlimdims)));
- /* "netCDF4/_netCDF4.pyx":2744
+ /* "netCDF4/_netCDF4.pyx":2774
* else:
* unlimdimids = <int *>malloc(sizeof(int) * numunlimdims)
* dimid = self._dimid # <<<<<<<<<<<<<<
@@ -24807,7 +25174,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_5 = __pyx_v_self->_dimid;
__pyx_v_dimid = __pyx_t_5;
- /* "netCDF4/_netCDF4.pyx":2745
+ /* "netCDF4/_netCDF4.pyx":2775
* unlimdimids = <int *>malloc(sizeof(int) * numunlimdims)
* dimid = self._dimid
* with nogil: # <<<<<<<<<<<<<<
@@ -24821,7 +25188,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":2746
+ /* "netCDF4/_netCDF4.pyx":2776
* dimid = self._dimid
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__pyx_v_ierr = nc_inq_unlimdims(__pyx_v_self->_grpid, (&__pyx_v_numunlimdims), __pyx_v_unlimdimids);
}
- /* "netCDF4/_netCDF4.pyx":2745
+ /* "netCDF4/_netCDF4.pyx":2775
* unlimdimids = <int *>malloc(sizeof(int) * numunlimdims)
* dimid = self._dimid
* with nogil: # <<<<<<<<<<<<<<
@@ -24849,7 +25216,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
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+ /* "netCDF4/_netCDF4.pyx":2777
* with nogil:
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -24859,7 +25226,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_1) {
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+ /* "netCDF4/_netCDF4.pyx":2778
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
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@@ -24867,22 +25234,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_3 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2748; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2778; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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+ /* "netCDF4/_netCDF4.pyx":2779
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+ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2779; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_unlimdim_ids = ((PyObject*)__pyx_t_3);
__pyx_t_3 = 0;
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_5; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":2751
+ /* "netCDF4/_netCDF4.pyx":2781
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*/
free(__pyx_v_unlimdimids);
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+ __pyx_t_1 = (__Pyx_PySequence_ContainsTF(__pyx_t_3, __pyx_v_unlimdim_ids, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2783; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_7 = (__pyx_t_1 != 0);
if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2754
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__pyx_r = Py_True;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2753
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*/
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}
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*/
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__pyx_v_ierr = nc_inq(__pyx_v_self->_grpid, (&__pyx_v_ndims), (&__pyx_v_nvars), (&__pyx_v_ngatts), (&__pyx_v_xdimid));
}
- /* "netCDF4/_netCDF4.pyx":2759
+ /* "netCDF4/_netCDF4.pyx":2789
* else: # if not NETCDF4, there is only one unlimited dimension.
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@@ -25037,7 +25404,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
- /* "netCDF4/_netCDF4.pyx":2761
+ /* "netCDF4/_netCDF4.pyx":2791
* with nogil:
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
* if self._dimid == xdimid: # <<<<<<<<<<<<<<
@@ -25047,7 +25414,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_7 = ((__pyx_v_self->_dimid == __pyx_v_xdimid) != 0);
if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2762
+ /* "netCDF4/_netCDF4.pyx":2792
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
* if self._dimid == xdimid:
* return True # <<<<<<<<<<<<<<
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__pyx_r = Py_True;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2761
+ /* "netCDF4/_netCDF4.pyx":2791
* with nogil:
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
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*/
}
- /* "netCDF4/_netCDF4.pyx":2764
+ /* "netCDF4/_netCDF4.pyx":2794
* return True
* else:
* return False # <<<<<<<<<<<<<<
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}
}
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+ /* "netCDF4/_netCDF4.pyx":2759
* return self._grp
*
* def isunlimited(self): # <<<<<<<<<<<<<<
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return __pyx_r;
}
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+/* "netCDF4/_netCDF4.pyx":2653
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__get__", 0);
__Pyx_XDECREF(__pyx_r);
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+ __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_self->_dimid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
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const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__set__", 0);
- __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_value); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2623; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_value); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__get__", 0);
__Pyx_XDECREF(__pyx_r);
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+ __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_self->_grpid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
@@ -25246,7 +25613,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension_6_grpid_2__set__(struct __pyx_
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__set__", 0);
- __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_value); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2623; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_As_int(__pyx_v_value); if (unlikely((__pyx_t_1 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_self->_grpid = __pyx_t_1;
/* function exit code */
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":2624
+/* "netCDF4/_netCDF4.pyx":2654
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* cdef public _data_model, _name, _grp # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":2859
+/* "netCDF4/_netCDF4.pyx":2890
* """The number of stored elements."""
*
* def __init__(self, grp, name, datatype, dimensions=(), zlib=False, # <<<<<<<<<<<<<<
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values[4] = ((PyObject *)Py_False);
values[5] = ((PyObject *)__pyx_int_4);
- /* "netCDF4/_netCDF4.pyx":2860
+ /* "netCDF4/_netCDF4.pyx":2891
*
* def __init__(self, grp, name, datatype, dimensions=(), zlib=False,
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values[7] = ((PyObject *)Py_False);
values[8] = ((PyObject *)Py_False);
- /* "netCDF4/_netCDF4.pyx":2861
+ /* "netCDF4/_netCDF4.pyx":2892
* def __init__(self, grp, name, datatype, dimensions=(), zlib=False,
* complevel=4, shuffle=True, fletcher32=False, contiguous=False,
* chunksizes=None, endian='native', least_significant_digit=None, # <<<<<<<<<<<<<<
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values[10] = ((PyObject *)__pyx_n_s_native);
values[11] = ((PyObject *)Py_None);
- /* "netCDF4/_netCDF4.pyx":2862
+ /* "netCDF4/_netCDF4.pyx":2893
* complevel=4, shuffle=True, fletcher32=False, contiguous=False,
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else {
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2890; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
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if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_datatype)) != 0)) kw_args--;
else {
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2890; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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case 3:
if (kw_args > 0) {
@@ -25698,7 +26065,7 @@ static int __pyx_pw_7netCDF4_8_netCDF4_8Variable_1__init__(PyObject *__pyx_v_sel
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switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -25737,7 +26104,7 @@ static int __pyx_pw_7netCDF4_8_netCDF4_8Variable_1__init__(PyObject *__pyx_v_sel
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2890; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_DECREF(__pyx_v_kwargs); __pyx_v_kwargs = 0;
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+ /* "netCDF4/_netCDF4.pyx":2890
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__Pyx_INCREF(__pyx_v_zlib);
- /* "netCDF4/_netCDF4.pyx":2961
+ /* "netCDF4/_netCDF4.pyx":2992
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__pyx_v_self->__orthogonal_indexing__ = Py_True;
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+ /* "netCDF4/_netCDF4.pyx":2994
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+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_complevel); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2994; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_2 = ((!__pyx_t_1) != 0);
if (__pyx_t_2) {
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+ /* "netCDF4/_netCDF4.pyx":2995
* # if complevel is set to zero, set zlib to False.
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__Pyx_INCREF(Py_False);
__Pyx_DECREF_SET(__pyx_v_zlib, Py_False);
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+ /* "netCDF4/_netCDF4.pyx":2994
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+ __pyx_t_3 = PyObject_RichCompare(((PyObject *)Py_TYPE(__pyx_v_dimensions)), ((PyObject *)(&PyString_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_3 = PyObject_RichCompare(((PyObject *)Py_TYPE(__pyx_v_dimensions)), ((PyObject *)(&PyBytes_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2968; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2968; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyObject_RichCompare(((PyObject *)Py_TYPE(__pyx_v_dimensions)), ((PyObject *)(&PyBytes_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L5_bool_binop_done;
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- __pyx_t_3 = PyObject_RichCompare(((PyObject *)Py_TYPE(__pyx_v_dimensions)), ((PyObject *)(&PyUnicode_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2968; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2968; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyObject_RichCompare(((PyObject *)Py_TYPE(__pyx_v_dimensions)), ((PyObject *)(&PyUnicode_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L5_bool_binop_done:;
if (__pyx_t_2) {
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*/
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+ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3000; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(__pyx_v_dimensions);
__Pyx_GIVEREF(__pyx_v_dimensions);
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__Pyx_DECREF_SET(__pyx_v_dimensions, __pyx_t_3);
__pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":2968
+ /* "netCDF4/_netCDF4.pyx":2999
* # this prevents a common error that occurs when
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*/
}
- /* "netCDF4/_netCDF4.pyx":2970
+ /* "netCDF4/_netCDF4.pyx":3001
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__pyx_L28:;
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__pyx_v_self->_isprimitive = Py_False;
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__pyx_v_self->_iscompound = Py_False;
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__pyx_v_self->_isvlen = Py_False;
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__pyx_v_self->_isenum = Py_False;
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+ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_user_type); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3042; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_2) {
- /* "netCDF4/_netCDF4.pyx":3012
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__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":3013
+ /* "netCDF4/_netCDF4.pyx":3044
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__pyx_v_self->_iscompound = Py_True;
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+ /* "netCDF4/_netCDF4.pyx":3045
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__pyx_v_self->_cmptype = __pyx_v_datatype;
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+ /* "netCDF4/_netCDF4.pyx":3043
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}
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- __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3015; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_self->_isvlen = Py_True;
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+ /* "netCDF4/_netCDF4.pyx":3048
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__Pyx_DECREF(__pyx_v_self->_vltype);
__pyx_v_self->_vltype = __pyx_v_datatype;
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+ /* "netCDF4/_netCDF4.pyx":3046
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+ /* "netCDF4/_netCDF4.pyx":3049
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__pyx_t_1 = (__pyx_t_8 != 0);
if (__pyx_t_1) {
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+ /* "netCDF4/_netCDF4.pyx":3050
* self._vltype = datatype
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__pyx_v_self->_isenum = Py_True;
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+ /* "netCDF4/_netCDF4.pyx":3051
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__Pyx_DECREF(__pyx_v_self->_enumtype);
__pyx_v_self->_enumtype = __pyx_v_datatype;
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+ /* "netCDF4/_netCDF4.pyx":3049
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":3052
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+ __pyx_t_3 = PyObject_RichCompare(__pyx_v_datatype, ((PyObject *)(&PyString_Type)), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3052; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_t_3, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- /* "netCDF4/_netCDF4.pyx":3022
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":3059
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+ __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3059; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_v_self->_grp);
__Pyx_GIVEREF(__pyx_v_self->_grp);
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__Pyx_GIVEREF(Py_None);
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goto __pyx_L31;
}
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+ /* "netCDF4/_netCDF4.pyx":3064
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_supportedtypes); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3064; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
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+ __pyx_t_1 = (__Pyx_PySequence_ContainsTF(__pyx_t_3, __pyx_t_5, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3064; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3065
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__pyx_v_self->_isprimitive = Py_True;
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+ /* "netCDF4/_netCDF4.pyx":3068
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_str); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_6 = __Pyx_PyObject_GetSlice(__pyx_t_3, 1, 0, NULL, NULL, &__pyx_slice__40, 1, 0, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3037; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_GetSlice(__pyx_t_3, 1, 0, NULL, NULL, &__pyx_slice__40, 1, 0, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_3 = PyObject_GetItem(__pyx_t_5, __pyx_t_6); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3068; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ __pyx_t_9 = __Pyx_PyInt_As_nc_type(__pyx_t_3); if (unlikely((__pyx_t_9 == (nc_type)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_v_xtype = __pyx_t_9;
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+ /* "netCDF4/_netCDF4.pyx":3070
* xtype = _nptonctype[datatype.str[1:]]
* # dtype variable attribute is a numpy datatype object.
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__Pyx_DECREF(__pyx_v_self->dtype);
__pyx_v_self->dtype = __pyx_v_datatype;
- /* "netCDF4/_netCDF4.pyx":3033
+ /* "netCDF4/_netCDF4.pyx":3064
* # dtype variable attribute is a numpy datatype object.
* self.dtype = datatype.dtype
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goto __pyx_L31;
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- /* "netCDF4/_netCDF4.pyx":3041
+ /* "netCDF4/_netCDF4.pyx":3072
* self.dtype = datatype
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- __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_supportedtypes); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3041; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_supportedtypes); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3072; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3072; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
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__Pyx_GIVEREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_v_datatype);
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__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3073
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+ __pyx_t_8 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_id, __pyx_v_kwargs, Py_EQ)); if (unlikely(__pyx_t_8 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3073; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_1 = (__pyx_t_8 != 0);
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+ /* "netCDF4/_netCDF4.pyx":3074
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+ /* "netCDF4/_netCDF4.pyx":3073
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goto __pyx_L39;
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+ /* "netCDF4/_netCDF4.pyx":3076
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+ __pyx_t_3 = __pyx_f_7netCDF4_8_netCDF4__strencode(__pyx_v_name, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3076; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_bytestr = __pyx_t_3;
__pyx_t_3 = 0;
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+ __pyx_t_10 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_10) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3077; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_varname = __pyx_t_10;
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+ __pyx_t_11 = PyObject_Length(__pyx_v_dimensions); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3078; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_1) {
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+ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3081; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_dims = ((PyObject*)__pyx_t_3);
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+ __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_dimensions, __pyx_v_n, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3084; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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goto __pyx_L59;
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3107; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3105
+ /* "netCDF4/_netCDF4.pyx":3136
* else:
* ierr = nc_def_var_deflate(self._grpid, self._varid, 0, 1, ideflate_level)
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*/
}
- /* "netCDF4/_netCDF4.pyx":3099
+ /* "netCDF4/_netCDF4.pyx":3130
* if grp.data_model in ['NETCDF4','NETCDF4_CLASSIC']:
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":3140
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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if (__pyx_t_8) {
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__pyx_L63_bool_binop_done:;
if (__pyx_t_2) {
- /* "netCDF4/_netCDF4.pyx":3110
+ /* "netCDF4/_netCDF4.pyx":3141
* # set checksum.
* if fletcher32 and ndims: # don't bother for scalar variable
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- /* "netCDF4/_netCDF4.pyx":3111
+ /* "netCDF4/_netCDF4.pyx":3142
* if fletcher32 and ndims: # don't bother for scalar variable
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if (__pyx_t_2) {
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+ /* "netCDF4/_netCDF4.pyx":3143
* ierr = nc_def_var_fletcher32(self._grpid, self._varid, 1)
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- __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_t_3, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_t_3, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_enddef); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -27674,17 +28041,17 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
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if (__pyx_t_7) {
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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- /* "netCDF4/_netCDF4.pyx":3113
+ /* "netCDF4/_netCDF4.pyx":3144
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3144; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_contiguous); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":3119
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*/
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goto __pyx_L68;
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+ /* "netCDF4/_netCDF4.pyx":3160
* raise ValueError('chunksizes must be a sequence with the same length as dimensions')
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__Pyx_XDECREF_SET(__pyx_v_dimname, __pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":3222
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__pyx_L27_try_end:;
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goto __pyx_L19;
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__pyx_L19:;
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return __pyx_r;
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3278
+ /* "netCDF4/_netCDF4.pyx":3311
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}
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+ /* "netCDF4/_netCDF4.pyx":3312
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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- /* "netCDF4/_netCDF4.pyx":3279
+ /* "netCDF4/_netCDF4.pyx":3312
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+ /* "netCDF4/_netCDF4.pyx":3316
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#endif
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+ /* "netCDF4/_netCDF4.pyx":3317
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}
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goto __pyx_L0;
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*/
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return __pyx_r;
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int __pyx_v_ierr;
int __pyx_v_ideflate;
int __pyx_v_ishuffle;
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int __pyx_clineno = 0;
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*/
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+ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -32999,7 +33615,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
goto __pyx_L0;
}
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+ /* "netCDF4/_netCDF4.pyx":3474
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#endif
/*try:*/ {
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* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
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}
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if (__pyx_t_3) {
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__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3477; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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#endif
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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*/
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+ /* "netCDF4/_netCDF4.pyx":3482
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+ __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_ideflate_level); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_complevel, __pyx_t_1) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3485
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__pyx_t_3 = (__pyx_v_ishuffle != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3439
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+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_shuffle, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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if (__pyx_t_3) {
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*/
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return __pyx_r;
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/* function exit code */
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int __pyx_v_ierr;
int __pyx_v_iendian;
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+ /* "netCDF4/_netCDF4.pyx":3503
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -33470,7 +34086,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
switch (__pyx_v_iendian) {
case NC_ENDIAN_LITTLE:
- /* "netCDF4/_netCDF4.pyx":3457
+ /* "netCDF4/_netCDF4.pyx":3504
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE:
* return 'little' # <<<<<<<<<<<<<<
@@ -33482,7 +34098,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_little;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3456
+ /* "netCDF4/_netCDF4.pyx":3503
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -33491,7 +34107,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
break;
- /* "netCDF4/_netCDF4.pyx":3458
+ /* "netCDF4/_netCDF4.pyx":3505
* if iendian == NC_ENDIAN_LITTLE:
* return 'little'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -33500,7 +34116,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
case NC_ENDIAN_BIG:
- /* "netCDF4/_netCDF4.pyx":3459
+ /* "netCDF4/_netCDF4.pyx":3506
* return 'little'
* elif iendian == NC_ENDIAN_BIG:
* return 'big' # <<<<<<<<<<<<<<
@@ -33512,7 +34128,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_big;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3458
+ /* "netCDF4/_netCDF4.pyx":3505
* if iendian == NC_ENDIAN_LITTLE:
* return 'little'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -33522,7 +34138,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
default:
- /* "netCDF4/_netCDF4.pyx":3461
+ /* "netCDF4/_netCDF4.pyx":3508
* return 'big'
* else:
* return 'native' # <<<<<<<<<<<<<<
@@ -33536,7 +34152,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
}
- /* "netCDF4/_netCDF4.pyx":3444
+ /* "netCDF4/_netCDF4.pyx":3491
* return filtdict
*
* def endian(self): # <<<<<<<<<<<<<<
@@ -33556,7 +34172,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
return __pyx_r;
}
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+/* "netCDF4/_netCDF4.pyx":3510
* return 'native'
*
* def chunking(self): # <<<<<<<<<<<<<<
@@ -33565,20 +34181,20 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
/* Python wrapper */
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-static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_29chunking(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) {
+static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_31chunking(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/
+static char __pyx_doc_7netCDF4_8_netCDF4_8Variable_30chunking[] = "\n**`chunking(self)`**\n\nreturn variable chunking information. If the dataset is\ndefined to be contiguous (and hence there is no chunking) the word 'contiguous'\nis returned. Otherwise, a sequence with the chunksize for\neach dimension is returned.";
+static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_31chunking(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) {
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("chunking (wrapper)", 0);
- __pyx_r = __pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(((struct __pyx_obj_7netCDF4_8_netCDF4_Variable *)__pyx_v_self));
+ __pyx_r = __pyx_pf_7netCDF4_8_netCDF4_8Variable_30chunking(((struct __pyx_obj_7netCDF4_8_netCDF4_Variable *)__pyx_v_self));
/* function exit code */
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
-static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self) {
+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30chunking(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self) {
int __pyx_v_ierr;
int __pyx_v_icontiguous;
int __pyx_v_ndims;
@@ -33599,22 +34215,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("chunking", 0);
- /* "netCDF4/_netCDF4.pyx":3473
+ /* "netCDF4/_netCDF4.pyx":3520
* cdef int ierr, icontiguous, ndims
* cdef size_t *chunksizesp
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None # <<<<<<<<<<<<<<
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
*/
- __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self->_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3473; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self->_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_NETCDF4_CLASSIC, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3473; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_NETCDF4_CLASSIC, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_3) {
} else {
__pyx_t_2 = __pyx_t_3;
goto __pyx_L4_bool_binop_done;
}
- __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3473; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_2 = __pyx_t_3;
__pyx_L4_bool_binop_done:;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
@@ -33626,17 +34242,17 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":3474
+ /* "netCDF4/_netCDF4.pyx":3521
* cdef size_t *chunksizesp
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
* ndims = self.ndim # <<<<<<<<<<<<<<
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil:
*/
- __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_v_self->ndim); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_v_self->ndim); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3521; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_ndims = __pyx_t_4;
- /* "netCDF4/_netCDF4.pyx":3475
+ /* "netCDF4/_netCDF4.pyx":3522
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims) # <<<<<<<<<<<<<<
@@ -33645,7 +34261,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
__pyx_v_chunksizesp = ((size_t *)malloc(((sizeof(size_t)) * __pyx_v_ndims)));
- /* "netCDF4/_netCDF4.pyx":3476
+ /* "netCDF4/_netCDF4.pyx":3523
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil: # <<<<<<<<<<<<<<
@@ -33659,7 +34275,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3477
+ /* "netCDF4/_netCDF4.pyx":3524
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil:
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@@ -33669,7 +34285,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_v_ierr = nc_inq_var_chunking(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_icontiguous), __pyx_v_chunksizesp);
}
- /* "netCDF4/_netCDF4.pyx":3476
+ /* "netCDF4/_netCDF4.pyx":3523
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil: # <<<<<<<<<<<<<<
@@ -33687,7 +34303,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
}
}
- /* "netCDF4/_netCDF4.pyx":3478
+ /* "netCDF4/_netCDF4.pyx":3525
* with nogil:
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -33697,7 +34313,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3479
+ /* "netCDF4/_netCDF4.pyx":3526
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -33705,22 +34321,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
* for n from 0 <= n < ndims:
*/
__pyx_t_5 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_5, 0, strlen(__pyx_t_5), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_5, 0, strlen(__pyx_t_5), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3526; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3526; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3526; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3526; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3478
+ /* "netCDF4/_netCDF4.pyx":3525
* with nogil:
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -33729,19 +34345,19 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
}
- /* "netCDF4/_netCDF4.pyx":3480
+ /* "netCDF4/_netCDF4.pyx":3527
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[] # <<<<<<<<<<<<<<
* for n from 0 <= n < ndims:
* chunksizes.append(chunksizesp[n])
*/
- __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3480; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3527; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_v_chunksizes = ((PyObject*)__pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3481
+ /* "netCDF4/_netCDF4.pyx":3528
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[]
* for n from 0 <= n < ndims: # <<<<<<<<<<<<<<
@@ -33751,20 +34367,20 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_t_4 = __pyx_v_ndims;
for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_4; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":3482
+ /* "netCDF4/_netCDF4.pyx":3529
* chunksizes=[]
* for n from 0 <= n < ndims:
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* free(chunksizesp)
* if icontiguous:
*/
- __pyx_t_1 = __Pyx_PyInt_FromSize_t((__pyx_v_chunksizesp[__pyx_v_n])); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3482; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_FromSize_t((__pyx_v_chunksizesp[__pyx_v_n])); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3529; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_7 = __Pyx_PyList_Append(__pyx_v_chunksizes, __pyx_t_1); if (unlikely(__pyx_t_7 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3482; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_7 = __Pyx_PyList_Append(__pyx_v_chunksizes, __pyx_t_1); if (unlikely(__pyx_t_7 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3529; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
}
- /* "netCDF4/_netCDF4.pyx":3483
+ /* "netCDF4/_netCDF4.pyx":3530
* for n from 0 <= n < ndims:
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* free(chunksizesp) # <<<<<<<<<<<<<<
@@ -33773,7 +34389,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
free(__pyx_v_chunksizesp);
- /* "netCDF4/_netCDF4.pyx":3484
+ /* "netCDF4/_netCDF4.pyx":3531
* chunksizes.append(chunksizesp[n])
* free(chunksizesp)
* if icontiguous: # <<<<<<<<<<<<<<
@@ -33783,7 +34399,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_t_3 = (__pyx_v_icontiguous != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3485
+ /* "netCDF4/_netCDF4.pyx":3532
* free(chunksizesp)
* if icontiguous:
* return 'contiguous' # <<<<<<<<<<<<<<
@@ -33795,7 +34411,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_r = __pyx_n_s_contiguous;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3484
+ /* "netCDF4/_netCDF4.pyx":3531
* chunksizes.append(chunksizesp[n])
* free(chunksizesp)
* if icontiguous: # <<<<<<<<<<<<<<
@@ -33804,7 +34420,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
}
- /* "netCDF4/_netCDF4.pyx":3487
+ /* "netCDF4/_netCDF4.pyx":3534
* return 'contiguous'
* else:
* return chunksizes # <<<<<<<<<<<<<<
@@ -33818,7 +34434,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":3463
+ /* "netCDF4/_netCDF4.pyx":3510
* return 'native'
*
* def chunking(self): # <<<<<<<<<<<<<<
@@ -33839,7 +34455,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
return __pyx_r;
}
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* return chunksizes
*
* def get_var_chunk_cache(self): # <<<<<<<<<<<<<<
@@ -33848,20 +34464,20 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
/* Python wrapper */
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-static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_31get_var_chunk_cache(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) {
+static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_33get_var_chunk_cache(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/
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+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32get_var_chunk_cache(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self) {
int __pyx_v_ierr;
size_t __pyx_v_sizep;
size_t __pyx_v_nelemsp;
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#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":3547
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return __pyx_r;
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size_t __pyx_v_sizep;
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__pyx_v_preemption_orig = __pyx_t_4;
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* # reset chunk cache size, leave other parameters unchanged.
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goto __pyx_L5;
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if (__pyx_t_7) {
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goto __pyx_L6;
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
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goto __pyx_L7;
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__pyx_t_14 = __pyx_t_11;
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__Pyx_GIVEREF(__pyx_v_mval);
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__pyx_v_mvalisnan = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3699
+ /* "netCDF4/_netCDF4.pyx":3746
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__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3701
+ /* "netCDF4/_netCDF4.pyx":3748
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__Pyx_AddTraceback("netCDF4._netCDF4.Variable._toma", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3748; __pyx_clineno = __LINE__; goto __pyx_L12_except_error;}
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__Pyx_GOTREF(__pyx_t_2);
__Pyx_GOTREF(__pyx_t_3);
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+ /* "netCDF4/_netCDF4.pyx":3749
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goto __pyx_L12_except_error;
__pyx_L12_except_error:;
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+ /* "netCDF4/_netCDF4.pyx":3746
* hasmval = data==mval
* # is scalar missing value a NaN?
* try: # <<<<<<<<<<<<<<
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__pyx_L17_try_end:;
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- /* "netCDF4/_netCDF4.pyx":3696
+ /* "netCDF4/_netCDF4.pyx":3743
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goto __pyx_L9;
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- /* "netCDF4/_netCDF4.pyx":3704
+ /* "netCDF4/_netCDF4.pyx":3751
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+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_numpy); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3751; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
- __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_bool); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3704; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_bool); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3751; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_6 = 1;
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- __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3704; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_7); __pyx_t_7 = NULL;
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__pyx_t_2 = 0;
__pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v_hasmval = __pyx_t_3;
__pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":3705
+ /* "netCDF4/_netCDF4.pyx":3752
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__pyx_t_3 = __pyx_v_mval; __Pyx_INCREF(__pyx_t_3); __pyx_t_6 = 0;
__pyx_t_14 = NULL;
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__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_14 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_14)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3752; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_1 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3705; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3752; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF_SET(__pyx_v_hasmval, __pyx_t_5);
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+ /* "netCDF4/_netCDF4.pyx":3773
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__pyx_v_fvalisnan = __pyx_t_2;
__pyx_t_2 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3772
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__Pyx_GOTREF(__pyx_t_4);
__Pyx_GOTREF(__pyx_t_1);
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goto __pyx_L13;
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goto __pyx_L4;
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goto __pyx_L16_bool_binop_done;
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+ /* "netCDF4/_netCDF4.pyx":3942
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+ /* "netCDF4/_netCDF4.pyx":3941
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*/
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+ /* "netCDF4/_netCDF4.pyx":3943
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+ /* "netCDF4/_netCDF4.pyx":3944
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+ /* "netCDF4/_netCDF4.pyx":3915
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+ /* "netCDF4/_netCDF4.pyx":3948
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@@ -40792,14 +41476,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
} else {
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+ /* "netCDF4/_netCDF4.pyx":3951
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@@ -40807,12 +41491,12 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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*/
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goto __pyx_L52;
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__Pyx_DECREF(__pyx_v_self->scale);
__pyx_v_self->scale = Py_True;
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goto __pyx_L3;
}
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}
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return __pyx_r;
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*/
/* Python wrapper */
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-static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_61set_auto_mask(PyObject *__pyx_v_self, PyObject *__pyx_v_mask) {
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+ __pyx_r = __pyx_pf_7netCDF4_8_netCDF4_8Variable_62set_auto_mask(((struct __pyx_obj_7netCDF4_8_netCDF4_Variable *)__pyx_v_self), ((PyObject *)__pyx_v_mask));
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+static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_62set_auto_mask(struct __pyx_obj_7netCDF4_8_netCDF4_Variable *__pyx_v_self, PyObject *__pyx_v_mask) {
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+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_mask); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_v_self->mask);
__pyx_v_self->mask = Py_True;
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goto __pyx_L3;
}
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return __pyx_r;
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+static char __pyx_doc_7netCDF4_8_netCDF4_8Variable_64_put[] = "Private method to put data into a netCDF variable";
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PyObject *__pyx_v_start = 0;
PyObject *__pyx_v_count = 0;
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case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_start)) != 0)) kw_args--;
else {
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+ __Pyx_RaiseArgtupleInvalid("_put", 1, 4, 4, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4187; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("_put", 1, 4, 4, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4187; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("_put", 1, 4, 4, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4187; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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if (unlikely(kw_args > 0)) {
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goto __pyx_L4_argument_unpacking_done;
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+ __Pyx_RaiseArgtupleInvalid("_put", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4187; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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int __pyx_v_ndims;
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goto __pyx_L56;
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goto __pyx_L23;
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__Pyx_GIVEREF(__pyx_v_offsets);
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__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4555
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__Pyx_GOTREF(__pyx_t_8);
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_GIVEREF(__pyx_t_7);
PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":4552
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__Pyx_DECREF_SET(__pyx_v_bytestr, __pyx_t_8);
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goto __pyx_L24;
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- /* "netCDF4/_netCDF4.pyx":4519
+ /* "netCDF4/_netCDF4.pyx":4577
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goto __pyx_L28;
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+ __pyx_t_5 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -51024,17 +51781,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
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if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_3)) break;
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+ __pyx_t_1 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
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+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4547; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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PyObject* exc_type = PyErr_Occurred();
if (exc_type) {
if (likely(exc_type == PyExc_StopIteration || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4547; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
break;
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if (unlikely(size != 2)) {
if (size > 2) __Pyx_RaiseTooManyValuesError(2);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4547; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_6);
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_GOTREF(__pyx_t_7);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_XDECREF_SET(__pyx_v_cmpdt, __pyx_t_6);
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* formats1 = [v[0] for v in dtype.fields.values()]
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__Pyx_GOTREF(__pyx_t_1);
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__pyx_v_xtype = __pyx_t_9;
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_names); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4607; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_XDECREF_SET(__pyx_v_names1, __pyx_t_1);
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_cmpdt, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4607; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_names); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4607; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF_SET(__pyx_v_names2, __pyx_t_6);
__pyx_t_6 = 0;
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+ __pyx_t_6 = PyList_New(0); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
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+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_fields); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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+ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_values); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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}
}
if (__pyx_t_2) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4550; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_7); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_11 = NULL;
} else {
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+ __pyx_t_10 = -1; __pyx_t_7 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
- __pyx_t_11 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4550; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_11 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
for (;;) {
@@ -51183,17 +51940,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
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+ __pyx_t_1 = PyList_GET_ITEM(__pyx_t_7, __pyx_t_10); __Pyx_INCREF(__pyx_t_1); __pyx_t_10++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
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+ __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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} else {
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+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_7, __pyx_t_10); __Pyx_INCREF(__pyx_t_1); __pyx_t_10++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
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+ __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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@@ -51203,7 +51960,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
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if (exc_type) {
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- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4550; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4608; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
break;
}
@@ -51211,30 +51968,30 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
}
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__pyx_t_13 = (__pyx_t_12 != 0);
if (__pyx_t_13) {
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+ /* "netCDF4/_netCDF4.pyx":4621
* raise ValueError("cannot find compound type in this group or parent groups")
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
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*/
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- /* "netCDF4/_netCDF4.pyx":4565
+ /* "netCDF4/_netCDF4.pyx":4623
* raise ValueError("cannot find compound type in this group or parent groups")
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*/
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*/
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- /* "netCDF4/_netCDF4.pyx":4566
+ /* "netCDF4/_netCDF4.pyx":4624
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+ __pyx_t_1 = __Pyx_PyInt_From_nc_type(__pyx_v_xtype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4624; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":4600
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return __pyx_r;
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+/* "netCDF4/_netCDF4.pyx":4626
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}
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+ /* "netCDF4/_netCDF4.pyx":4639
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_grpid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4639; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4639; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v__grpid = __pyx_t_2;
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+ /* "netCDF4/_netCDF4.pyx":4640
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#endif
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+ /* "netCDF4/_netCDF4.pyx":4641
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}
- /* "netCDF4/_netCDF4.pyx":4582
+ /* "netCDF4/_netCDF4.pyx":4640
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}
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+ /* "netCDF4/_netCDF4.pyx":4642
* with nogil:
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":4643
* ierr = nc_inq_compound(_grpid, xtype, cmp_namstring, NULL, &nfields)
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4642
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*/
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+ /* "netCDF4/_netCDF4.pyx":4644
* if ierr != NC_NOERR:
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+ __pyx_t_5 = __Pyx_PyObject_FromString(__pyx_v_cmp_namstring); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4644; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4644; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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@@ -51754,7 +52511,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4644; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_10);
if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -51765,50 +52522,50 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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__pyx_t_5 = 0;
__pyx_t_7 = 0;
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_name = __pyx_t_1;
__pyx_t_1 = 0;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4646; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_names = __pyx_t_1;
__pyx_t_1 = 0;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4647; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_formats = __pyx_t_1;
__pyx_t_1 = 0;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_offsets = ((PyObject*)__pyx_t_1);
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for (__pyx_v_nf = 0; __pyx_v_nf < __pyx_t_11; __pyx_v_nf++) {
- /* "netCDF4/_netCDF4.pyx":4592
+ /* "netCDF4/_netCDF4.pyx":4650
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#endif
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+ /* "netCDF4/_netCDF4.pyx":4651
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}
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__Pyx_XDECREF_SET(__pyx_v_format, __pyx_t_10);
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*/
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+ /* "netCDF4/_netCDF4.pyx":4683
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+ if (__Pyx_GetException(&__pyx_t_10, &__pyx_t_1, &__pyx_t_8) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4687; __pyx_clineno = __LINE__; goto __pyx_L26_except_error;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_8);
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}
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if (__pyx_t_16) {
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__Pyx_XDECREF_SET(__pyx_v_field_type, __pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":4789
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*/
}
- /* "netCDF4/_netCDF4.pyx":4726
+ /* "netCDF4/_netCDF4.pyx":4784
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goto __pyx_L4;
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- /* "netCDF4/_netCDF4.pyx":4734
+ /* "netCDF4/_netCDF4.pyx":4792
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__Pyx_Raise(__pyx_t_5, 0, 0, 0);
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__pyx_t_6 = 0;
goto __pyx_L0;
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return __pyx_r;
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}
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__Pyx_INCREF(Py_None);
__pyx_v_name = Py_None;
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+ /* "netCDF4/_netCDF4.pyx":4805
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goto __pyx_L3;
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+ /* "netCDF4/_netCDF4.pyx":4810
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}
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+ /* "netCDF4/_netCDF4.pyx":4812
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__pyx_v_name = __pyx_t_1;
__pyx_t_1 = 0;
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/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4757
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__pyx_v_datatype = __pyx_t_6;
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__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
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- /* "netCDF4/_netCDF4.pyx":4759
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
__Pyx_INCREF(__pyx_v_datatype);
__Pyx_GIVEREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_v_datatype);
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__pyx_v_dt = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4814
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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* if endian is not None: datatype = endian + datatype
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if (__pyx_t_2) {
__Pyx_AddTraceback("netCDF4._netCDF4._read_vlen", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
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goto __pyx_L10_except_error;
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+ /* "netCDF4/_netCDF4.pyx":4814
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}
__pyx_L3:;
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_INCREF(__pyx_v_name);
__Pyx_GIVEREF(__pyx_v_name);
PyTuple_SET_ITEM(__pyx_t_7, 2, __pyx_v_name);
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+ __pyx_t_10 = PyDict_New(); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4820; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = __Pyx_PyInt_From_nc_type(__pyx_v_xtype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4820; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L0;
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return __pyx_r;
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+ __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4842; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4842; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4842; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_DECREF(__pyx_v_kwargs); __pyx_v_kwargs = 0;
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__Pyx_RefNannySetupContext("__init__", 0);
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__pyx_t_2 = (__pyx_t_1 != 0);
if (__pyx_t_2) {
- /* "netCDF4/_netCDF4.pyx":4807
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__pyx_v_xtype = __pyx_t_4;
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goto __pyx_L3;
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- /* "netCDF4/_netCDF4.pyx":4840
+ /* "netCDF4/_netCDF4.pyx":4898
* xtype_tmp = _intnptonctype[dt.str[1:]]
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*/
}
- /* "netCDF4/_netCDF4.pyx":4835
+ /* "netCDF4/_netCDF4.pyx":4893
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goto __pyx_L3;
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- /* "netCDF4/_netCDF4.pyx":4843
+ /* "netCDF4/_netCDF4.pyx":4901
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__pyx_v_msg = __pyx_kp_s_unsupported_datatype_specified_f_2;
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+ /* "netCDF4/_netCDF4.pyx":4905
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__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
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__pyx_t_4 = 0;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":4884
* (self.name, self.dtype, self.enum_dict)
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":4856
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}
}
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+ /* "netCDF4/_netCDF4.pyx":4924
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+ /* "netCDF4/_netCDF4.pyx":4926
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4869
+ /* "netCDF4/_netCDF4.pyx":4927
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}
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if (__pyx_t_3) {
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4930; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4931
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4931; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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@@ -55729,7 +56486,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4931; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -55740,14 +56497,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4931; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_name = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":4874
+ /* "netCDF4/_netCDF4.pyx":4932
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4875
+ /* "netCDF4/_netCDF4.pyx":4933
* name = enum_namstring.decode(default_encoding,unicode_error)
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__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4876
+ /* "netCDF4/_netCDF4.pyx":4934
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__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
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__Pyx_GIVEREF(__pyx_v_datatype);
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+ /* "netCDF4/_netCDF4.pyx":4932
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__pyx_L14_try_end:;
}
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+ /* "netCDF4/_netCDF4.pyx":4939
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for (__pyx_v_nmem = 0; __pyx_v_nmem < __pyx_t_15; __pyx_v_nmem++) {
- /* "netCDF4/_netCDF4.pyx":4883
+ /* "netCDF4/_netCDF4.pyx":4941
* enum_dict = {}
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#endif
/*try:*/ {
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* for nmem from 0 <= nmem < nmembers:
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- /* "netCDF4/_netCDF4.pyx":4883
+ /* "netCDF4/_netCDF4.pyx":4941
* enum_dict = {}
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}
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+ /* "netCDF4/_netCDF4.pyx":4944
* ierr = nc_inq_enum_member(_grpid, xtype, nmem, \
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- /* "netCDF4/_netCDF4.pyx":4887
+ /* "netCDF4/_netCDF4.pyx":4945
* enum_namstring, &enum_val)
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__Pyx_INCREF(__pyx_t_7);
__Pyx_GIVEREF(__pyx_t_7);
PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_7);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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@@ -56032,7 +56789,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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__Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_5); __pyx_t_5 = NULL;
@@ -56043,35 +56800,35 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4947
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_GIVEREF(__pyx_t_7);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7);
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_GIVEREF(__pyx_v_enum_dict);
PyTuple_SET_ITEM(__pyx_t_7, 3, __pyx_v_enum_dict);
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+ __pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4948; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
@@ -56107,7 +56864,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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goto __pyx_L0;
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return __pyx_r;
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* if calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
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__pyx_v_msg = __pyx_kp_s_zero_not_allowed_as_a_reference;
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__Pyx_INCREF(__pyx_v_msg);
__Pyx_GIVEREF(__pyx_v_msg);
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*/
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+ /* "netCDF4/_netCDF4.pyx":5102
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__Pyx_INCREF(__pyx_v_msg);
__Pyx_GIVEREF(__pyx_v_msg);
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*/
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*/
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+ /* "netCDF4/_netCDF4.pyx":5106
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goto __pyx_L33;
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*/
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goto __pyx_L0;
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PyObject *__pyx_v_nctime = 0;
PyObject *__pyx_v_calendar = 0;
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@@ -67784,7 +68661,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9_Variable_16__getitem__(CYTHON_UNU
Py_ssize_t i;
PyObject** temps[4] = {&__pyx_t_2,&__pyx_t_6,&__pyx_t_3,&__pyx_t_4};
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Py_ssize_t index = -1;
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__Pyx_GOTREF(item);
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__pyx_v_put_ind = __pyx_t_4;
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__Pyx_GIVEREF(__pyx_v_count);
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__pyx_t_1 = 0;
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__Pyx_INCREF(__pyx_v_datashape);
__Pyx_GIVEREF(__pyx_v_datashape);
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__Pyx_GIVEREF(__pyx_v_put_ind);
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+ __pyx_t_9 = PyObject_HasAttr(__pyx_v_t, __pyx_n_s_calendar); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ {"setncatts", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_7Dataset_53setncatts, METH_O, __pyx_doc_7netCDF4_8_netCDF4_7Dataset_52setncatts},
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+ {"set_auto_maskandscale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_7Dataset_69set_auto_maskandscale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_7Dataset_68set_auto_maskandscale},
+ {"set_auto_mask", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_7Dataset_71set_auto_mask, METH_O, __pyx_doc_7netCDF4_8_netCDF4_7Dataset_70set_auto_mask},
+ {"set_auto_scale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_7Dataset_73set_auto_scale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_7Dataset_72set_auto_scale},
+ {"get_variables_by_attributes", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_7Dataset_75get_variables_by_attributes, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_7Dataset_74get_variables_by_attributes},
{0, 0, 0, 0}
};
@@ -71700,6 +72578,7 @@ static PyObject *__pyx_tp_new_7netCDF4_8_netCDF4_Variable(PyTypeObject *t, CYTHO
p->_vltype = Py_None; Py_INCREF(Py_None);
p->_enumtype = Py_None; Py_INCREF(Py_None);
p->__orthogonal_indexing__ = Py_None; Py_INCREF(Py_None);
+ p->_has_lsd = Py_None; Py_INCREF(Py_None);
return o;
}
@@ -71725,6 +72604,7 @@ static void __pyx_tp_dealloc_7netCDF4_8_netCDF4_Variable(PyObject *o) {
Py_CLEAR(p->_vltype);
Py_CLEAR(p->_enumtype);
Py_CLEAR(p->__orthogonal_indexing__);
+ Py_CLEAR(p->_has_lsd);
(*Py_TYPE(o)->tp_free)(o);
}
@@ -71773,6 +72653,9 @@ static int __pyx_tp_traverse_7netCDF4_8_netCDF4_Variable(PyObject *o, visitproc
if (p->__orthogonal_indexing__) {
e = (*v)(p->__orthogonal_indexing__, a); if (e) return e;
}
+ if (p->_has_lsd) {
+ e = (*v)(p->_has_lsd, a); if (e) return e;
+ }
return 0;
}
@@ -71821,6 +72704,9 @@ static int __pyx_tp_clear_7netCDF4_8_netCDF4_Variable(PyObject *o) {
tmp = ((PyObject*)p->__orthogonal_indexing__);
p->__orthogonal_indexing__ = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->_has_lsd);
+ p->_has_lsd = Py_None; Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
return 0;
}
static PyObject *__pyx_sq_item_7netCDF4_8_netCDF4_Variable(PyObject *o, Py_ssize_t i) {
@@ -71833,7 +72719,7 @@ static PyObject *__pyx_sq_item_7netCDF4_8_netCDF4_Variable(PyObject *o, Py_ssize
static int __pyx_mp_ass_subscript_7netCDF4_8_netCDF4_Variable(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
- return __pyx_pw_7netCDF4_8_netCDF4_8Variable_49__setitem__(o, i, v);
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_51__setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
@@ -71846,17 +72732,17 @@ static PyObject *__pyx_tp_getattro_7netCDF4_8_netCDF4_Variable(PyObject *o, PyOb
PyObject *v = PyObject_GenericGetAttr(o, n);
if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Clear();
- v = __pyx_pw_7netCDF4_8_netCDF4_8Variable_39__getattr__(o, n);
+ v = __pyx_pw_7netCDF4_8_netCDF4_8Variable_41__getattr__(o, n);
}
return v;
}
static int __pyx_tp_setattro_7netCDF4_8_netCDF4_Variable(PyObject *o, PyObject *n, PyObject *v) {
if (v) {
- return __pyx_pw_7netCDF4_8_netCDF4_8Variable_37__setattr__(o, n, v);
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_39__setattr__(o, n, v);
}
else {
- return __pyx_pw_7netCDF4_8_netCDF4_8Variable_35__delattr__(o, n);
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_37__delattr__(o, n);
}
}
@@ -72134,6 +73020,19 @@ static int __pyx_setprop_7netCDF4_8_netCDF4_8Variable___orthogonal_indexing__(Py
}
}
+static PyObject *__pyx_getprop_7netCDF4_8_netCDF4_8Variable__has_lsd(PyObject *o, CYTHON_UNUSED void *x) {
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_8_has_lsd_1__get__(o);
+}
+
+static int __pyx_setprop_7netCDF4_8_netCDF4_8Variable__has_lsd(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
+ if (v) {
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_8_has_lsd_3__set__(o, v);
+ }
+ else {
+ return __pyx_pw_7netCDF4_8_netCDF4_8Variable_8_has_lsd_5__del__(o);
+ }
+}
+
static PyMethodDef __pyx_methods_7netCDF4_8_netCDF4_Variable[] = {
{"__array__", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_3__array__, METH_NOARGS, 0},
{"__unicode__", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_7__unicode__, METH_NOARGS, 0},
@@ -72142,25 +73041,26 @@ static PyMethodDef __pyx_methods_7netCDF4_8_netCDF4_Variable[] = {
{"group", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_13group, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_12group},
{"ncattrs", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_15ncattrs, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_14ncattrs},
{"setncattr", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_17setncattr, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_16setncattr},
- {"setncatts", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_19setncatts, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_18setncatts},
- {"getncattr", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_21getncattr, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_20getncattr},
- {"delncattr", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_23delncattr, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_22delncattr},
- {"filters", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_25filters, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_24filters},
- {"endian", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_27endian, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_26endian},
- {"chunking", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_29chunking, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_28chunking},
- {"get_var_chunk_cache", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_31get_var_chunk_cache, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache},
- {"set_var_chunk_cache", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_33set_var_chunk_cache, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache},
- {"__getattr__", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_39__getattr__, METH_O|METH_COEXIST, 0},
- {"renameAttribute", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_41renameAttribute, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_40renameAttribute},
- {"_toma", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_45_toma, METH_O, 0},
- {"_assign_vlen", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_47_assign_vlen, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_46_assign_vlen},
- {"assignValue", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_53assignValue, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_52assignValue},
- {"getValue", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_55getValue, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_54getValue},
- {"set_auto_maskandscale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_57set_auto_maskandscale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_56set_auto_maskandscale},
- {"set_auto_scale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_59set_auto_scale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_58set_auto_scale},
- {"set_auto_mask", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_61set_auto_mask, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_60set_auto_mask},
- {"_put", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_63_put, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_62_put},
- {"_get", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_65_get, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_64_get},
+ {"setncattr_string", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_19setncattr_string, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_18setncattr_string},
+ {"setncatts", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_21setncatts, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_20setncatts},
+ {"getncattr", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_23getncattr, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_22getncattr},
+ {"delncattr", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_25delncattr, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_24delncattr},
+ {"filters", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_27filters, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_26filters},
+ {"endian", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_29endian, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_28endian},
+ {"chunking", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_31chunking, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_30chunking},
+ {"get_var_chunk_cache", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_33get_var_chunk_cache, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_32get_var_chunk_cache},
+ {"set_var_chunk_cache", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_35set_var_chunk_cache, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_34set_var_chunk_cache},
+ {"__getattr__", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_41__getattr__, METH_O|METH_COEXIST, 0},
+ {"renameAttribute", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_43renameAttribute, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_42renameAttribute},
+ {"_toma", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_47_toma, METH_O, 0},
+ {"_assign_vlen", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_49_assign_vlen, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_48_assign_vlen},
+ {"assignValue", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_55assignValue, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_54assignValue},
+ {"getValue", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_57getValue, METH_NOARGS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_56getValue},
+ {"set_auto_maskandscale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_59set_auto_maskandscale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_58set_auto_maskandscale},
+ {"set_auto_scale", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_61set_auto_scale, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_60set_auto_scale},
+ {"set_auto_mask", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_63set_auto_mask, METH_O, __pyx_doc_7netCDF4_8_netCDF4_8Variable_62set_auto_mask},
+ {"_put", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_65_put, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_64_put},
+ {"_get", (PyCFunction)__pyx_pw_7netCDF4_8_netCDF4_8Variable_67_get, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7netCDF4_8_netCDF4_8Variable_66_get},
{0, 0, 0, 0}
};
@@ -72187,11 +73087,12 @@ static struct PyGetSetDef __pyx_getsets_7netCDF4_8_netCDF4_Variable[] = {
{(char *)"_vltype", __pyx_getprop_7netCDF4_8_netCDF4_8Variable__vltype, __pyx_setprop_7netCDF4_8_netCDF4_8Variable__vltype, 0, 0},
{(char *)"_enumtype", __pyx_getprop_7netCDF4_8_netCDF4_8Variable__enumtype, __pyx_setprop_7netCDF4_8_netCDF4_8Variable__enumtype, 0, 0},
{(char *)"__orthogonal_indexing__", __pyx_getprop_7netCDF4_8_netCDF4_8Variable___orthogonal_indexing__, __pyx_setprop_7netCDF4_8_netCDF4_8Variable___orthogonal_indexing__, 0, 0},
+ {(char *)"_has_lsd", __pyx_getprop_7netCDF4_8_netCDF4_8Variable__has_lsd, __pyx_setprop_7netCDF4_8_netCDF4_8Variable__has_lsd, 0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_Variable = {
- __pyx_pw_7netCDF4_8_netCDF4_8Variable_51__len__, /*sq_length*/
+ __pyx_pw_7netCDF4_8_netCDF4_8Variable_53__len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_7netCDF4_8_netCDF4_Variable, /*sq_item*/
@@ -72204,8 +73105,8 @@ static PySequenceMethods __pyx_tp_as_sequence_Variable = {
};
static PyMappingMethods __pyx_tp_as_mapping_Variable = {
- __pyx_pw_7netCDF4_8_netCDF4_8Variable_51__len__, /*mp_length*/
- __pyx_pw_7netCDF4_8_netCDF4_8Variable_43__getitem__, /*mp_subscript*/
+ __pyx_pw_7netCDF4_8_netCDF4_8Variable_53__len__, /*mp_length*/
+ __pyx_pw_7netCDF4_8_netCDF4_8Variable_45__getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_7netCDF4_8_netCDF4_Variable, /*mp_ass_subscript*/
};
@@ -72898,7 +73799,7 @@ static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
#endif
"_netCDF4",
- __pyx_k_Version_1_2_2_Introduction_netc, /* m_doc */
+ __pyx_k_Version_1_2_3_Introduction_netc, /* m_doc */
-1, /* m_size */
__pyx_methods /* m_methods */,
NULL, /* m_reload */
@@ -72912,7 +73813,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_, __pyx_k_, sizeof(__pyx_k_), 0, 0, 1, 0},
{&__pyx_kp_s_0m, __pyx_k_0m, sizeof(__pyx_k_0m), 0, 0, 1, 0},
{&__pyx_kp_s_1, __pyx_k_1, sizeof(__pyx_k_1), 0, 0, 1, 0},
- {&__pyx_kp_s_1_2_2, __pyx_k_1_2_2, sizeof(__pyx_k_1_2_2), 0, 0, 1, 0},
+ {&__pyx_kp_s_1_2_3, __pyx_k_1_2_3, sizeof(__pyx_k_1_2_3), 0, 0, 1, 0},
{&__pyx_kp_s_4_2_1, __pyx_k_4_2_1, sizeof(__pyx_k_4_2_1), 0, 0, 1, 0},
{&__pyx_kp_s_4_4_0, __pyx_k_4_4_0, sizeof(__pyx_k_4_4_0), 0, 0, 1, 0},
{&__pyx_kp_s_4m, __pyx_k_4m, sizeof(__pyx_k_4m), 0, 0, 1, 0},
@@ -73010,8 +73911,9 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_U, __pyx_k_U, sizeof(__pyx_k_U), 0, 0, 1, 1},
{&__pyx_n_s_UNDEFINED, __pyx_k_UNDEFINED, sizeof(__pyx_k_UNDEFINED), 0, 0, 1, 1},
{&__pyx_n_s_UnicodeDecodeError, __pyx_k_UnicodeDecodeError, sizeof(__pyx_k_UnicodeDecodeError), 0, 0, 1, 1},
+ {&__pyx_n_s_UnicodeError, __pyx_k_UnicodeError, sizeof(__pyx_k_UnicodeError), 0, 0, 1, 1},
{&__pyx_kp_s_Unsupported_compound_type_elemen, __pyx_k_Unsupported_compound_type_elemen, sizeof(__pyx_k_Unsupported_compound_type_elemen), 0, 0, 1, 0},
- {&__pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_k_Users_jsw_python_netcdf4_python, sizeof(__pyx_k_Users_jsw_python_netcdf4_python), 0, 0, 1, 0},
+ {&__pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_k_Users_jwhitaker_python_netcdf4, sizeof(__pyx_k_Users_jwhitaker_python_netcdf4), 0, 0, 1, 0},
{&__pyx_n_s_V, __pyx_k_V, sizeof(__pyx_k_V), 0, 0, 1, 1},
{&__pyx_kp_s_VLType_dtype, __pyx_k_VLType_dtype, sizeof(__pyx_k_VLType_dtype), 0, 0, 1, 0},
{&__pyx_kp_s_VLType_name, __pyx_k_VLType_name, sizeof(__pyx_k_VLType_name), 0, 0, 1, 0},
@@ -73046,7 +73948,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_WARNING_variable_s_has_unsupport_2, __pyx_k_WARNING_variable_s_has_unsupport_2, sizeof(__pyx_k_WARNING_variable_s_has_unsupport_2), 0, 0, 1, 0},
{&__pyx_kp_s_WARNING_variable_s_has_unsupport_3, __pyx_k_WARNING_variable_s_has_unsupport_3, sizeof(__pyx_k_WARNING_variable_s_has_unsupport_3), 0, 0, 1, 0},
{&__pyx_kp_s_WARNING_variable_s_has_unsupport_4, __pyx_k_WARNING_variable_s_has_unsupport_4, sizeof(__pyx_k_WARNING_variable_s_has_unsupport_4), 0, 0, 1, 0},
- {&__pyx_kp_s__128, __pyx_k__128, sizeof(__pyx_k__128), 0, 0, 1, 0},
{&__pyx_kp_s__14, __pyx_k__14, sizeof(__pyx_k__14), 0, 0, 1, 0},
{&__pyx_kp_s__15, __pyx_k__15, sizeof(__pyx_k__15), 0, 0, 1, 0},
{&__pyx_kp_s__16, __pyx_k__16, sizeof(__pyx_k__16), 0, 0, 1, 0},
@@ -73075,6 +73976,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_array, __pyx_k_array, sizeof(__pyx_k_array), 0, 0, 1, 1},
{&__pyx_n_s_as, __pyx_k_as, sizeof(__pyx_k_as), 0, 0, 1, 1},
{&__pyx_n_s_asarray, __pyx_k_asarray, sizeof(__pyx_k_asarray), 0, 0, 1, 1},
+ {&__pyx_n_s_ascii, __pyx_k_ascii, sizeof(__pyx_k_ascii), 0, 0, 1, 1},
{&__pyx_n_s_assign_vlen, __pyx_k_assign_vlen, sizeof(__pyx_k_assign_vlen), 0, 0, 1, 1},
{&__pyx_kp_s_assign_vlen_method_only_for_use, __pyx_k_assign_vlen_method_only_for_use, sizeof(__pyx_k_assign_vlen_method_only_for_use), 0, 0, 1, 0},
{&__pyx_n_s_astype, __pyx_k_astype, sizeof(__pyx_k_astype), 0, 0, 1, 1},
@@ -73087,6 +73989,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_bool, __pyx_k_bool, sizeof(__pyx_k_bool), 0, 0, 1, 1},
{&__pyx_n_s_bs, __pyx_k_bs, sizeof(__pyx_k_bs), 0, 0, 1, 1},
{&__pyx_n_s_byteorder, __pyx_k_byteorder, sizeof(__pyx_k_byteorder), 0, 0, 1, 1},
+ {&__pyx_n_s_bytestr, __pyx_k_bytestr, sizeof(__pyx_k_bytestr), 0, 0, 1, 1},
{&__pyx_n_s_byteswap, __pyx_k_byteswap, sizeof(__pyx_k_byteswap), 0, 0, 1, 1},
{&__pyx_n_s_calendar, __pyx_k_calendar, sizeof(__pyx_k_calendar), 0, 0, 1, 1},
{&__pyx_kp_s_cannot_assign_fill_value_for_mas, __pyx_k_cannot_assign_fill_value_for_mas, sizeof(__pyx_k_cannot_assign_fill_value_for_mas), 0, 0, 1, 0},
@@ -73135,6 +74038,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_d_d_d_s, __pyx_k_d_d_d_s, sizeof(__pyx_k_d_d_d_s), 0, 0, 1, 0},
{&__pyx_n_s_dat, __pyx_k_dat, sizeof(__pyx_k_dat), 0, 0, 1, 1},
{&__pyx_n_s_data, __pyx_k_data, sizeof(__pyx_k_data), 0, 0, 1, 1},
+ {&__pyx_kp_s_data_can_only_be_assigned_to_VLE, __pyx_k_data_can_only_be_assigned_to_VLE, sizeof(__pyx_k_data_can_only_be_assigned_to_VLE), 0, 0, 1, 0},
{&__pyx_n_s_data_model, __pyx_k_data_model, sizeof(__pyx_k_data_model), 0, 0, 1, 1},
{&__pyx_n_s_data_model_2, __pyx_k_data_model_2, sizeof(__pyx_k_data_model_2), 0, 0, 1, 1},
{&__pyx_kp_s_data_model_describes_the_netCDF, __pyx_k_data_model_describes_the_netCDF, sizeof(__pyx_k_data_model_describes_the_netCDF), 0, 0, 1, 0},
@@ -73185,6 +74089,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_elem, __pyx_k_elem, sizeof(__pyx_k_elem), 0, 0, 1, 1},
{&__pyx_n_s_empty, __pyx_k_empty, sizeof(__pyx_k_empty), 0, 0, 1, 1},
{&__pyx_n_s_encode, __pyx_k_encode, sizeof(__pyx_k_encode), 0, 0, 1, 1},
+ {&__pyx_n_s_encoding, __pyx_k_encoding, sizeof(__pyx_k_encoding), 0, 0, 1, 1},
{&__pyx_n_s_enddef, __pyx_k_enddef, sizeof(__pyx_k_enddef), 0, 0, 1, 1},
{&__pyx_n_s_endian, __pyx_k_endian, sizeof(__pyx_k_endian), 0, 0, 1, 1},
{&__pyx_kp_s_endian_keyword_argument_must_be, __pyx_k_endian_keyword_argument_must_be, sizeof(__pyx_k_endian_keyword_argument_must_be), 0, 0, 1, 0},
@@ -73209,6 +74114,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_fields, __pyx_k_fields, sizeof(__pyx_k_fields), 0, 0, 1, 1},
{&__pyx_n_s_file_format, __pyx_k_file_format, sizeof(__pyx_k_file_format), 0, 0, 1, 1},
{&__pyx_n_s_file_format_2, __pyx_k_file_format_2, sizeof(__pyx_k_file_format_2), 0, 0, 1, 1},
+ {&__pyx_kp_s_file_format_does_not_support_NC, __pyx_k_file_format_does_not_support_NC, sizeof(__pyx_k_file_format_does_not_support_NC), 0, 0, 1, 0},
{&__pyx_n_s_filename, __pyx_k_filename, sizeof(__pyx_k_filename), 0, 0, 1, 1},
{&__pyx_kp_s_filepath_method_not_enabled_To, __pyx_k_filepath_method_not_enabled_To, sizeof(__pyx_k_filepath_method_not_enabled_To), 0, 0, 1, 0},
{&__pyx_n_s_files, __pyx_k_files, sizeof(__pyx_k_files), 0, 0, 1, 1},
@@ -73253,6 +74159,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_grpnames, __pyx_k_grpnames, sizeof(__pyx_k_grpnames), 0, 0, 1, 1},
{&__pyx_n_s_grps, __pyx_k_grps, sizeof(__pyx_k_grps), 0, 0, 1, 1},
{&__pyx_n_s_has_cdf5, __pyx_k_has_cdf5, sizeof(__pyx_k_has_cdf5), 0, 0, 1, 1},
+ {&__pyx_n_s_has_lsd, __pyx_k_has_lsd, sizeof(__pyx_k_has_lsd), 0, 0, 1, 1},
{&__pyx_n_s_has_nc_inq_format_extended, __pyx_k_has_nc_inq_format_extended, sizeof(__pyx_k_has_nc_inq_format_extended), 0, 0, 1, 1},
{&__pyx_n_s_has_nc_inq_path, __pyx_k_has_nc_inq_path, sizeof(__pyx_k_has_nc_inq_path), 0, 0, 1, 1},
{&__pyx_n_s_has_rename_grp, __pyx_k_has_rename_grp, sizeof(__pyx_k_has_rename_grp), 0, 0, 1, 1},
@@ -73370,7 +74277,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_no_since_in_unit_string, __pyx_k_no_since_in_unit_string, sizeof(__pyx_k_no_since_in_unit_string), 0, 0, 1, 0},
{&__pyx_n_s_normpath, __pyx_k_normpath, sizeof(__pyx_k_normpath), 0, 0, 1, 1},
{&__pyx_n_s_nptonctype, __pyx_k_nptonctype, sizeof(__pyx_k_nptonctype), 0, 0, 1, 1},
- {&__pyx_n_s_npversion, __pyx_k_npversion, sizeof(__pyx_k_npversion), 0, 0, 1, 1},
{&__pyx_n_s_num, __pyx_k_num, sizeof(__pyx_k_num), 0, 0, 1, 1},
{&__pyx_n_s_num2date, __pyx_k_num2date, sizeof(__pyx_k_num2date), 0, 0, 1, 1},
{&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1},
@@ -73430,7 +74336,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_renameGroup_method_not_enabled, __pyx_k_renameGroup_method_not_enabled, sizeof(__pyx_k_renameGroup_method_not_enabled), 0, 0, 1, 0},
{&__pyx_n_s_replace, __pyx_k_replace, sizeof(__pyx_k_replace), 0, 0, 1, 1},
{&__pyx_n_s_repr, __pyx_k_repr, sizeof(__pyx_k_repr), 0, 0, 1, 1},
- {&__pyx_kp_s_requires_numpy_version_1_0rc1_or, __pyx_k_requires_numpy_version_1_0rc1_or, sizeof(__pyx_k_requires_numpy_version_1_0rc1_or), 0, 0, 1, 0},
{&__pyx_n_s_reshape, __pyx_k_reshape, sizeof(__pyx_k_reshape), 0, 0, 1, 1},
{&__pyx_n_s_reverse_format_dict, __pyx_k_reverse_format_dict, sizeof(__pyx_k_reverse_format_dict), 0, 0, 1, 1},
{&__pyx_kp_s_root_group_s_data_model_file_for, __pyx_k_root_group_s_data_model_file_for, sizeof(__pyx_k_root_group_s_data_model_file_for), 0, 0, 1, 0},
@@ -73466,7 +74371,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_shape_cannot_be_altered, __pyx_k_shape_cannot_be_altered, sizeof(__pyx_k_shape_cannot_be_altered), 0, 0, 1, 0},
{&__pyx_n_s_shuffle, __pyx_k_shuffle, sizeof(__pyx_k_shuffle), 0, 0, 1, 1},
{&__pyx_n_s_since, __pyx_k_since, sizeof(__pyx_k_since), 0, 0, 1, 1},
- {&__pyx_kp_s_single_element_VLEN_slices_must, __pyx_k_single_element_VLEN_slices_must, sizeof(__pyx_k_single_element_VLEN_slices_must), 0, 0, 1, 0},
{&__pyx_n_s_size, __pyx_k_size, sizeof(__pyx_k_size), 0, 0, 1, 1},
{&__pyx_kp_s_size_cannot_be_altered, __pyx_k_size_cannot_be_altered, sizeof(__pyx_k_size_cannot_be_altered), 0, 0, 1, 0},
{&__pyx_kp_s_size_of_data_array_does_not_conf, __pyx_k_size_of_data_array_does_not_conf, sizeof(__pyx_k_size_of_data_array_does_not_conf), 0, 0, 1, 0},
@@ -73506,6 +74410,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_times, __pyx_k_times, sizeof(__pyx_k_times), 0, 0, 1, 1},
{&__pyx_n_s_timestr, __pyx_k_timestr, sizeof(__pyx_k_timestr), 0, 0, 1, 1},
{&__pyx_n_s_timestr_split, __pyx_k_timestr_split, sizeof(__pyx_k_timestr_split), 0, 0, 1, 1},
+ {&__pyx_n_s_to_ascii, __pyx_k_to_ascii, sizeof(__pyx_k_to_ascii), 0, 0, 1, 1},
{&__pyx_kp_s_to_assign_values_to_a_non_scalar, __pyx_k_to_assign_values_to_a_non_scalar, sizeof(__pyx_k_to_assign_values_to_a_non_scalar), 0, 0, 1, 0},
{&__pyx_kp_s_to_retrieve_values_from_a_non_sc, __pyx_k_to_retrieve_values_from_a_non_sc, sizeof(__pyx_k_to_retrieve_values_from_a_non_sc), 0, 0, 1, 0},
{&__pyx_n_s_tolist, __pyx_k_tolist, sizeof(__pyx_k_tolist), 0, 0, 1, 1},
@@ -73587,19 +74492,20 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
};
static int __Pyx_InitCachedBuiltins(void) {
__pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 924; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_object = __Pyx_GetBuiltinName(__pyx_n_s_object); if (!__pyx_builtin_object) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5502; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1077; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_AttributeError = __Pyx_GetBuiltinName(__pyx_n_s_AttributeError); if (!__pyx_builtin_AttributeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1101; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_KeyError = __Pyx_GetBuiltinName(__pyx_n_s_KeyError); if (!__pyx_builtin_KeyError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1125; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1161; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s_TypeError); if (!__pyx_builtin_TypeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s_IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1846; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_IOError = __Pyx_GetBuiltinName(__pyx_n_s_IOError); if (!__pyx_builtin_IOError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2585; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s_Ellipsis); if (!__pyx_builtin_Ellipsis) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3870; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4201; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4216; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __pyx_builtin_UnicodeDecodeError = __Pyx_GetBuiltinName(__pyx_n_s_UnicodeDecodeError); if (!__pyx_builtin_UnicodeDecodeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4899; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_object = __Pyx_GetBuiltinName(__pyx_n_s_object); if (!__pyx_builtin_object) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1075; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_AttributeError = __Pyx_GetBuiltinName(__pyx_n_s_AttributeError); if (!__pyx_builtin_AttributeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1099; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_KeyError = __Pyx_GetBuiltinName(__pyx_n_s_KeyError); if (!__pyx_builtin_KeyError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1123; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1159; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_UnicodeError = __Pyx_GetBuiltinName(__pyx_n_s_UnicodeError); if (!__pyx_builtin_UnicodeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s_TypeError); if (!__pyx_builtin_TypeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1261; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s_IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1852; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_IOError = __Pyx_GetBuiltinName(__pyx_n_s_IOError); if (!__pyx_builtin_IOError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2300; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s_Ellipsis); if (!__pyx_builtin_Ellipsis) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3922; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4274; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_builtin_UnicodeDecodeError = __Pyx_GetBuiltinName(__pyx_n_s_UnicodeDecodeError); if (!__pyx_builtin_UnicodeDecodeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4957; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
return 0;
__pyx_L1_error:;
return -1;
@@ -73609,1224 +74515,1235 @@ static int __Pyx_InitCachedConstants(void) {
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);
- /* "netCDF4/_netCDF4.pyx":1115
+ /* "netCDF4/_netCDF4.pyx":1113
* else:
* pstring =\
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* return pstring
* elif att_type == NC_STRING:
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- __pyx_tuple__3 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1115; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__3 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__3);
__Pyx_GIVEREF(__pyx_tuple__3);
- /* "netCDF4/_netCDF4.pyx":1121
+ /* "netCDF4/_netCDF4.pyx":1119
* with nogil:
* ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
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- __pyx_tuple__4 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1121; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__4 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1119; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__4);
__Pyx_GIVEREF(__pyx_tuple__4);
- /* "netCDF4/_netCDF4.pyx":1125
+ /* "netCDF4/_netCDF4.pyx":1123
* return pstring
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*/
- __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_s_vlen_string_array_attributes_not); if (unlikely(!__pyx_tuple__5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1125; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_s_vlen_string_array_attributes_not); if (unlikely(!__pyx_tuple__5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1123; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__5);
__Pyx_GIVEREF(__pyx_tuple__5);
- /* "netCDF4/_netCDF4.pyx":1161
+ /* "netCDF4/_netCDF4.pyx":1159
* # Private function to set the netCDF file format
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*/
- __pyx_tuple__6 = PyTuple_Pack(1, __pyx_kp_s_unrecognized_format_requested); if (unlikely(!__pyx_tuple__6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1161; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__6 = PyTuple_Pack(1, __pyx_kp_s_unrecognized_format_requested); if (unlikely(!__pyx_tuple__6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1159; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__6);
__Pyx_GIVEREF(__pyx_tuple__6);
- /* "netCDF4/_netCDF4.pyx":1172
+ /* "netCDF4/_netCDF4.pyx":1170
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if formatp not in _reverse_format_dict:
* raise ValueError('format not supported by python interface') # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__7 = PyTuple_Pack(1, __pyx_kp_s_format_not_supported_by_python_i); if (unlikely(!__pyx_tuple__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1172; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__7 = PyTuple_Pack(1, __pyx_kp_s_format_not_supported_by_python_i); if (unlikely(!__pyx_tuple__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1170; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__7);
__Pyx_GIVEREF(__pyx_tuple__7);
- /* "netCDF4/_netCDF4.pyx":1215
+ /* "netCDF4/_netCDF4.pyx":1214
* # if 64-bit datatype not supported, cast to 32 bit integers.
* fmt = _get_format(grp._grpid)
* is_netcdf3 = fmt.startswith('NETCDF3') or fmt == 'NETCDF4_CLASSIC' # <<<<<<<<<<<<<<
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\
* is_netcdf3):
*/
- __pyx_tuple__8 = PyTuple_Pack(1, __pyx_n_s_NETCDF3); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__8 = PyTuple_Pack(1, __pyx_n_s_NETCDF3); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__8);
__Pyx_GIVEREF(__pyx_tuple__8);
- /* "netCDF4/_netCDF4.pyx":1216
+ /* "netCDF4/_netCDF4.pyx":1215
* fmt = _get_format(grp._grpid)
* is_netcdf3 = fmt.startswith('NETCDF3') or fmt == 'NETCDF4_CLASSIC'
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\ # <<<<<<<<<<<<<<
* is_netcdf3):
* value_arr = value_arr.astype('i4')
*/
- __pyx_slice__9 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1216; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__9 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__9);
__Pyx_GIVEREF(__pyx_slice__9);
- /* "netCDF4/_netCDF4.pyx":1218
+ /* "netCDF4/_netCDF4.pyx":1217
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\
* is_netcdf3):
* value_arr = value_arr.astype('i4') # <<<<<<<<<<<<<<
* # if array contains ascii strings, write a text attribute (stored as bytes).
* # if array contains unicode strings, and data model is NETCDF4,
*/
- __pyx_tuple__10 = PyTuple_Pack(1, __pyx_n_s_i4); if (unlikely(!__pyx_tuple__10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1218; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__10 = PyTuple_Pack(1, __pyx_n_s_i4); if (unlikely(!__pyx_tuple__10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__10);
__Pyx_GIVEREF(__pyx_tuple__10);
- /* "netCDF4/_netCDF4.pyx":1255
+ /* "netCDF4/_netCDF4.pyx":1260
* if value_arr.dtype.kind == 'V': # compound attribute.
* xtype = _find_cmptype(grp,value_arr.dtype)
* elif value_arr.dtype.str[1:] not in _supportedtypes: # <<<<<<<<<<<<<<
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:])
* elif xtype == -99: # if xtype is not passed in as kwarg.
*/
- __pyx_slice__11 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__11 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1260; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__11);
__Pyx_GIVEREF(__pyx_slice__11);
- /* "netCDF4/_netCDF4.pyx":1256
+ /* "netCDF4/_netCDF4.pyx":1261
* xtype = _find_cmptype(grp,value_arr.dtype)
* elif value_arr.dtype.str[1:] not in _supportedtypes:
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:]) # <<<<<<<<<<<<<<
* elif xtype == -99: # if xtype is not passed in as kwarg.
* xtype = _nptonctype[value_arr.dtype.str[1:]]
*/
- __pyx_slice__12 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__12 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__12)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1261; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__12);
__Pyx_GIVEREF(__pyx_slice__12);
- /* "netCDF4/_netCDF4.pyx":1258
+ /* "netCDF4/_netCDF4.pyx":1263
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:])
* elif xtype == -99: # if xtype is not passed in as kwarg.
* xtype = _nptonctype[value_arr.dtype.str[1:]] # <<<<<<<<<<<<<<
* lenarr = PyArray_SIZE(value_arr)
* ierr = nc_put_att(grp._grpid, varid, attname, xtype, lenarr, value_arr.data)
*/
- __pyx_slice__13 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1258; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__13 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1263; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__13);
__Pyx_GIVEREF(__pyx_slice__13);
- /* "netCDF4/_netCDF4.pyx":1835
+ /* "netCDF4/_netCDF4.pyx":1841
* # last name in path, could be a variable or group
* dirname, lastname = posixpath.split(elem)
* nestedgroups = dirname.split('/') # <<<<<<<<<<<<<<
* group = self
* # iterate over groups in path.
*/
- __pyx_tuple__17 = PyTuple_Pack(1, __pyx_kp_s__16); if (unlikely(!__pyx_tuple__17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__17 = PyTuple_Pack(1, __pyx_kp_s__16); if (unlikely(!__pyx_tuple__17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1841; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__17);
__Pyx_GIVEREF(__pyx_tuple__17);
- /* "netCDF4/_netCDF4.pyx":1883
+ /* "netCDF4/_netCDF4.pyx":1899
* [_tostr(self.variables[varname].dtype)+' \033[4m'+_tostr(varname)+'\033[0m'+
* (((_tostr(self.variables[varname].dimensions)
* .replace("u'",""))\ # <<<<<<<<<<<<<<
* .replace("'",""))\
* .replace(", ",","))\
*/
- __pyx_tuple__18 = PyTuple_Pack(2, __pyx_kp_s_u, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__18)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1883; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__18 = PyTuple_Pack(2, __pyx_kp_s_u, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__18)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1899; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__18);
__Pyx_GIVEREF(__pyx_tuple__18);
- /* "netCDF4/_netCDF4.pyx":1884
+ /* "netCDF4/_netCDF4.pyx":1900
* (((_tostr(self.variables[varname].dimensions)
* .replace("u'",""))\
* .replace("'",""))\ # <<<<<<<<<<<<<<
* .replace(", ",","))\
* .replace(",)",")") for varname in self.variables.keys()])
*/
- __pyx_tuple__20 = PyTuple_Pack(2, __pyx_kp_s__19, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__20)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1884; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__20 = PyTuple_Pack(2, __pyx_kp_s__19, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__20)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1900; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__20);
__Pyx_GIVEREF(__pyx_tuple__20);
- /* "netCDF4/_netCDF4.pyx":1885
+ /* "netCDF4/_netCDF4.pyx":1901
* .replace("u'",""))\
* .replace("'",""))\
* .replace(", ",","))\ # <<<<<<<<<<<<<<
* .replace(",)",")") for varname in self.variables.keys()])
* grpnames = tuple([_tostr(grpname) for grpname in self.groups.keys()])
*/
- __pyx_tuple__23 = PyTuple_Pack(2, __pyx_kp_s__21, __pyx_kp_s__22); if (unlikely(!__pyx_tuple__23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1885; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__23 = PyTuple_Pack(2, __pyx_kp_s__21, __pyx_kp_s__22); if (unlikely(!__pyx_tuple__23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1901; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__23);
__Pyx_GIVEREF(__pyx_tuple__23);
- /* "netCDF4/_netCDF4.pyx":1886
+ /* "netCDF4/_netCDF4.pyx":1902
* .replace("'",""))\
* .replace(", ",","))\
* .replace(",)",")") for varname in self.variables.keys()]) # <<<<<<<<<<<<<<
* grpnames = tuple([_tostr(grpname) for grpname in self.groups.keys()])
* if self.path == '/':
*/
- __pyx_tuple__26 = PyTuple_Pack(2, __pyx_kp_s__24, __pyx_kp_s__25); if (unlikely(!__pyx_tuple__26)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1886; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__26 = PyTuple_Pack(2, __pyx_kp_s__24, __pyx_kp_s__25); if (unlikely(!__pyx_tuple__26)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1902; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__26);
__Pyx_GIVEREF(__pyx_tuple__26);
- /* "netCDF4/_netCDF4.pyx":2242
+ /* "netCDF4/_netCDF4.pyx":2258
* # if group specified as a path, split out group names
* groupname = posixpath.normpath(groupname)
* nestedgroups = groupname.split('/') # <<<<<<<<<<<<<<
* group = self
* # loop over group names, create parent groups if they do not already
*/
- __pyx_tuple__27 = PyTuple_Pack(1, __pyx_kp_s__16); if (unlikely(!__pyx_tuple__27)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2242; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__27 = PyTuple_Pack(1, __pyx_kp_s__16); if (unlikely(!__pyx_tuple__27)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2258; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__27);
__Pyx_GIVEREF(__pyx_tuple__27);
- /* "netCDF4/_netCDF4.pyx":2325
+ /* "netCDF4/_netCDF4.pyx":2355
* if name not in _private_atts:
* self.setncattr(name, value)
* elif not name.endswith('__'): # <<<<<<<<<<<<<<
* if hasattr(self,name):
* raise AttributeError(
*/
- __pyx_tuple__29 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2325; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__29 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2355; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__29);
__Pyx_GIVEREF(__pyx_tuple__29);
- /* "netCDF4/_netCDF4.pyx":2335
+ /* "netCDF4/_netCDF4.pyx":2365
* # if name in _private_atts, it is stored at the python
* # level and not in the netCDF file.
* if name.startswith('__') and name.endswith('__'): # <<<<<<<<<<<<<<
* # if __dict__ requested, return a dict with netCDF attributes.
* if name == '__dict__':
*/
- __pyx_tuple__30 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__30)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2335; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__30 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__30)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__30);
__Pyx_GIVEREF(__pyx_tuple__30);
- __pyx_tuple__31 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__31)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2335; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__31 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__31)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__31);
__Pyx_GIVEREF(__pyx_tuple__31);
- /* "netCDF4/_netCDF4.pyx":2585
+ /* "netCDF4/_netCDF4.pyx":2615
* overrides `netCDF4.Dataset` close method which does not apply to `netCDF4.Group`
* instances, raises IOError."""
* raise IOError('cannot close a `netCDF4.Group` (only applies to Dataset)') # <<<<<<<<<<<<<<
*
* def _getname(self):
*/
- __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_cannot_close_a_netCDF4_Group_onl); if (unlikely(!__pyx_tuple__32)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2585; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_cannot_close_a_netCDF4_Group_onl); if (unlikely(!__pyx_tuple__32)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2615; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__32);
__Pyx_GIVEREF(__pyx_tuple__32);
- /* "netCDF4/_netCDF4.pyx":2602
+ /* "netCDF4/_netCDF4.pyx":2632
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
*
*/
- __pyx_tuple__33 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__33)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2602; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__33 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__33)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__33);
__Pyx_GIVEREF(__pyx_tuple__33);
- /* "netCDF4/_netCDF4.pyx":2689
+ /* "netCDF4/_netCDF4.pyx":2719
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
* property size:
*/
- __pyx_tuple__34 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__34)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2689; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__34 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__34)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2719; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__34);
__Pyx_GIVEREF(__pyx_tuple__34);
- /* "netCDF4/_netCDF4.pyx":2696
+ /* "netCDF4/_netCDF4.pyx":2726
* return len(self)
* def __set__(self,value):
* raise AttributeError("size cannot be altered") # <<<<<<<<<<<<<<
*
* def __repr__(self):
*/
- __pyx_tuple__35 = PyTuple_Pack(1, __pyx_kp_s_size_cannot_be_altered); if (unlikely(!__pyx_tuple__35)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2696; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__35 = PyTuple_Pack(1, __pyx_kp_s_size_cannot_be_altered); if (unlikely(!__pyx_tuple__35)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2726; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__35);
__Pyx_GIVEREF(__pyx_tuple__35);
- /* "netCDF4/_netCDF4.pyx":3023
+ /* "netCDF4/_netCDF4.pyx":3054
* if datatype==str:
* if grp.data_model != 'NETCDF4':
* raise ValueError( # <<<<<<<<<<<<<<
* 'Variable length strings are only supported for the '
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*/
- __pyx_tuple__38 = PyTuple_Pack(1, __pyx_kp_s_Variable_length_strings_are_only); if (unlikely(!__pyx_tuple__38)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3023; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__38 = PyTuple_Pack(1, __pyx_kp_s_Variable_length_strings_are_only); if (unlikely(!__pyx_tuple__38)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__38);
__Pyx_GIVEREF(__pyx_tuple__38);
- /* "netCDF4/_netCDF4.pyx":3033
+ /* "netCDF4/_netCDF4.pyx":3064
* # dtype variable attribute is a numpy datatype object.
* self.dtype = datatype.dtype
* elif datatype.str[1:] in _supportedtypes: # <<<<<<<<<<<<<<
* self._isprimitive = True
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*/
- __pyx_slice__39 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__39)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3033; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__39 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__39)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3064; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__39);
__Pyx_GIVEREF(__pyx_slice__39);
- /* "netCDF4/_netCDF4.pyx":3037
+ /* "netCDF4/_netCDF4.pyx":3068
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype = _nptonctype[datatype.str[1:]] # <<<<<<<<<<<<<<
* # dtype variable attribute is a numpy datatype object.
* self.dtype = datatype
*/
- __pyx_slice__40 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__40)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3037; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__40 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__40)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__40);
__Pyx_GIVEREF(__pyx_slice__40);
- /* "netCDF4/_netCDF4.pyx":3077
+ /* "netCDF4/_netCDF4.pyx":3108
* # of vars are created. This change only lasts as long as file is
* # open.
* if grp.data_model.startswith('NETCDF4') and chunk_cache is not None: # <<<<<<<<<<<<<<
* ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
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*/
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+ __pyx_tuple__41 = PyTuple_Pack(1, __pyx_n_s_NETCDF4); if (unlikely(!__pyx_tuple__41)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3108; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__41);
__Pyx_GIVEREF(__pyx_tuple__41);
- /* "netCDF4/_netCDF4.pyx":3119
+ /* "netCDF4/_netCDF4.pyx":3150
* icontiguous = NC_CONTIGUOUS
* if chunksizes is not None:
* raise ValueError('cannot specify chunksizes for a contiguous dataset') # <<<<<<<<<<<<<<
* else:
* icontiguous = NC_CHUNKED
*/
- __pyx_tuple__42 = PyTuple_Pack(1, __pyx_kp_s_cannot_specify_chunksizes_for_a); if (unlikely(!__pyx_tuple__42)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3119; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__42 = PyTuple_Pack(1, __pyx_kp_s_cannot_specify_chunksizes_for_a); if (unlikely(!__pyx_tuple__42)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3150; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__42);
__Pyx_GIVEREF(__pyx_tuple__42);
- /* "netCDF4/_netCDF4.pyx":3127
+ /* "netCDF4/_netCDF4.pyx":3158
* if len(chunksizes) != len(dimensions):
* if grp.data_model != 'NETCDF4': grp._enddef()
* raise ValueError('chunksizes must be a sequence with the same length as dimensions') # <<<<<<<<<<<<<<
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* for n from 0 <= n < ndims:
*/
- __pyx_tuple__43 = PyTuple_Pack(1, __pyx_kp_s_chunksizes_must_be_a_sequence_wi); if (unlikely(!__pyx_tuple__43)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3127; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__43 = PyTuple_Pack(1, __pyx_kp_s_chunksizes_must_be_a_sequence_wi); if (unlikely(!__pyx_tuple__43)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3158; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__43);
__Pyx_GIVEREF(__pyx_tuple__43);
- /* "netCDF4/_netCDF4.pyx":3179
+ /* "netCDF4/_netCDF4.pyx":3210
* fillval, xtype=xtype)
* else:
* raise AttributeError("cannot set _FillValue attribute for VLEN or compound variable") # <<<<<<<<<<<<<<
* if least_significant_digit is not None:
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*/
- __pyx_tuple__44 = PyTuple_Pack(1, __pyx_kp_s_cannot_set__FillValue_attribute); if (unlikely(!__pyx_tuple__44)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3179; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__44 = PyTuple_Pack(1, __pyx_kp_s_cannot_set__FillValue_attribute); if (unlikely(!__pyx_tuple__44)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3210; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__44);
__Pyx_GIVEREF(__pyx_tuple__44);
- /* "netCDF4/_netCDF4.pyx":3259
+ /* "netCDF4/_netCDF4.pyx":3292
* msg = 'filling on'
* except AttributeError:
* fillval = default_fillvals[self.dtype.str[1:]] # <<<<<<<<<<<<<<
* if self.dtype.str[1:] in ['u1','i1']:
* msg = 'filling on, default _FillValue of %s ignored\n' % fillval
*/
- __pyx_slice__45 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__45)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__45 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__45)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3292; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__45);
__Pyx_GIVEREF(__pyx_slice__45);
- /* "netCDF4/_netCDF4.pyx":3260
+ /* "netCDF4/_netCDF4.pyx":3293
* except AttributeError:
* fillval = default_fillvals[self.dtype.str[1:]]
* if self.dtype.str[1:] in ['u1','i1']: # <<<<<<<<<<<<<<
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*/
- __pyx_slice__46 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__46)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3260; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__46 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__46)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3293; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__46);
__Pyx_GIVEREF(__pyx_slice__46);
- /* "netCDF4/_netCDF4.pyx":3315
+ /* "netCDF4/_netCDF4.pyx":3348
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
* property datatype:
*/
- __pyx_tuple__47 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__47)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3315; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__47 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__47)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3348; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__47);
__Pyx_GIVEREF(__pyx_tuple__47);
- /* "netCDF4/_netCDF4.pyx":3341
+ /* "netCDF4/_netCDF4.pyx":3374
* return shape
* def __set__(self,value):
* raise AttributeError("shape cannot be altered") # <<<<<<<<<<<<<<
*
* property size:
*/
- __pyx_tuple__48 = PyTuple_Pack(1, __pyx_kp_s_shape_cannot_be_altered); if (unlikely(!__pyx_tuple__48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3341; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__48 = PyTuple_Pack(1, __pyx_kp_s_shape_cannot_be_altered); if (unlikely(!__pyx_tuple__48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3374; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__48);
__Pyx_GIVEREF(__pyx_tuple__48);
- /* "netCDF4/_netCDF4.pyx":3353
+ /* "netCDF4/_netCDF4.pyx":3386
* return self._getdims()
* def __set__(self,value):
* raise AttributeError("dimensions cannot be altered") # <<<<<<<<<<<<<<
*
*
*/
- __pyx_tuple__49 = PyTuple_Pack(1, __pyx_kp_s_dimensions_cannot_be_altered); if (unlikely(!__pyx_tuple__49)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__49 = PyTuple_Pack(1, __pyx_kp_s_dimensions_cannot_be_altered); if (unlikely(!__pyx_tuple__49)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3386; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__49);
__Pyx_GIVEREF(__pyx_tuple__49);
- /* "netCDF4/_netCDF4.pyx":3563
+ /* "netCDF4/_netCDF4.pyx":3610
* value = numpy.array(value, self.dtype)
* self.setncattr(name, value)
* elif not name.endswith('__'): # <<<<<<<<<<<<<<
* if hasattr(self,name):
* raise AttributeError(
*/
- __pyx_tuple__50 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3563; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__50 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3610; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__50);
__Pyx_GIVEREF(__pyx_tuple__50);
- /* "netCDF4/_netCDF4.pyx":3573
+ /* "netCDF4/_netCDF4.pyx":3620
* # if name in _private_atts, it is stored at the python
* # level and not in the netCDF file.
* if name.startswith('__') and name.endswith('__'): # <<<<<<<<<<<<<<
* # if __dict__ requested, return a dict with netCDF attributes.
* if name == '__dict__':
*/
- __pyx_tuple__51 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__51)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3573; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__51 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__51)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3620; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__51);
__Pyx_GIVEREF(__pyx_tuple__51);
- __pyx_tuple__52 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3573; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__52 = PyTuple_Pack(1, __pyx_n_s__28); if (unlikely(!__pyx_tuple__52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3620; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__52);
__Pyx_GIVEREF(__pyx_tuple__52);
- /* "netCDF4/_netCDF4.pyx":3621
+ /* "netCDF4/_netCDF4.pyx":3668
* # The convention used is that for those cases,
* # put_ind for this dimension is set to -1 by _StartCountStride.
* squeeze = data.ndim * [slice(None),] # <<<<<<<<<<<<<<
* for i,n in enumerate(put_ind.shape[:-1]):
* if n == 1 and put_ind[...,i].ravel()[0] == -1:
*/
- __pyx_slice__53 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__53)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3621; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__53 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__53)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3668; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__53);
__Pyx_GIVEREF(__pyx_slice__53);
- /* "netCDF4/_netCDF4.pyx":3622
+ /* "netCDF4/_netCDF4.pyx":3669
* # put_ind for this dimension is set to -1 by _StartCountStride.
* squeeze = data.ndim * [slice(None),]
* for i,n in enumerate(put_ind.shape[:-1]): # <<<<<<<<<<<<<<
* if n == 1 and put_ind[...,i].ravel()[0] == -1:
* squeeze[i] = 0
*/
- __pyx_slice__54 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__54 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__54);
__Pyx_GIVEREF(__pyx_slice__54);
- /* "netCDF4/_netCDF4.pyx":3695
+ /* "netCDF4/_netCDF4.pyx":3742
* if (self.endian() == 'big' and is_native_little) or\
* (self.endian() == 'little' and is_native_big):
* mval.byteswap(True) # <<<<<<<<<<<<<<
* if mval.shape == (): # mval a scalar.
* hasmval = data==mval
*/
- __pyx_tuple__55 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__55)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3695; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__55 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__55)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3742; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__55);
__Pyx_GIVEREF(__pyx_tuple__55);
- /* "netCDF4/_netCDF4.pyx":3723
+ /* "netCDF4/_netCDF4.pyx":3770
* if (self.endian() == 'big' and is_native_little) or\
* (self.endian() == 'little' and is_native_big):
* fval.byteswap(True) # <<<<<<<<<<<<<<
* # is _FillValue a NaN?
* try:
*/
- __pyx_tuple__56 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3723; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__56 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3770; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__56);
__Pyx_GIVEREF(__pyx_tuple__56);
- /* "netCDF4/_netCDF4.pyx":3758
+ /* "netCDF4/_netCDF4.pyx":3805
* # small to assume one of the values should appear as a missing
* # value unless a _FillValue attribute is set explicitly."
* if no_fill != 1 and self.dtype.str[1:] not in ['u1','i1']: # <<<<<<<<<<<<<<
* fillval = numpy.array(default_fillvals[self.dtype.str[1:]],self.dtype)
* # byte swap the _FillValue if endian-ness of the variable
*/
- __pyx_slice__57 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3758; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__57 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3805; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__57);
__Pyx_GIVEREF(__pyx_slice__57);
- /* "netCDF4/_netCDF4.pyx":3759
+ /* "netCDF4/_netCDF4.pyx":3806
* # value unless a _FillValue attribute is set explicitly."
* if no_fill != 1 and self.dtype.str[1:] not in ['u1','i1']:
* fillval = numpy.array(default_fillvals[self.dtype.str[1:]],self.dtype) # <<<<<<<<<<<<<<
* # byte swap the _FillValue if endian-ness of the variable
* # is not native.
*/
- __pyx_slice__58 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3759; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__58 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3806; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__58);
__Pyx_GIVEREF(__pyx_slice__58);
- /* "netCDF4/_netCDF4.pyx":3764
+ /* "netCDF4/_netCDF4.pyx":3811
* if (self.endian() == 'big' and is_native_little) or\
* (self.endian() == 'little' and is_native_big):
* fillval.byteswap(True) # <<<<<<<<<<<<<<
* has_fillval = data == fillval
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*/
- __pyx_tuple__59 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__59)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3764; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__59 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__59)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3811; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__59);
__Pyx_GIVEREF(__pyx_tuple__59);
- /* "netCDF4/_netCDF4.pyx":3790
+ /* "netCDF4/_netCDF4.pyx":3842
* cdef ndarray data2
* if not self._isvlen:
* raise TypeError('_assign_vlen method only for use with VLEN variables') # <<<<<<<<<<<<<<
* ndims = self.ndim
- * msg="single element VLEN slices must be specified by integers only"
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*/
- __pyx_tuple__60 = PyTuple_Pack(1, __pyx_kp_s_assign_vlen_method_only_for_use); if (unlikely(!__pyx_tuple__60)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__60 = PyTuple_Pack(1, __pyx_kp_s_assign_vlen_method_only_for_use); if (unlikely(!__pyx_tuple__60)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3842; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__60);
__Pyx_GIVEREF(__pyx_tuple__60);
- /* "netCDF4/_netCDF4.pyx":3802
+ /* "netCDF4/_netCDF4.pyx":3854
* elem = self.shape[0]+elem
* else:
* raise IndexError("Illegal index") # <<<<<<<<<<<<<<
* elif isinstance(elem, tuple):
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*/
- __pyx_tuple__61 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__61)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3802; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__61 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__61)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3854; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__61);
__Pyx_GIVEREF(__pyx_tuple__61);
- /* "netCDF4/_netCDF4.pyx":3805
+ /* "netCDF4/_netCDF4.pyx":3857
* elif isinstance(elem, tuple):
* if len(elem) != ndims:
* raise IndexError("Illegal index") # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__62 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3805; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__62 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3857; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__62);
__Pyx_GIVEREF(__pyx_tuple__62);
- /* "netCDF4/_netCDF4.pyx":3813
+ /* "netCDF4/_netCDF4.pyx":3865
* enew = self.shape[n]+e
* if enew < 0:
* raise IndexError("Illegal index") # <<<<<<<<<<<<<<
* else:
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*/
- __pyx_tuple__63 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__63 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3865; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__63);
__Pyx_GIVEREF(__pyx_tuple__63);
- /* "netCDF4/_netCDF4.pyx":3983
+ /* "netCDF4/_netCDF4.pyx":4037
* fillval = self._FillValue
* else:
* fillval = default_fillvals[self.dtype.str[1:]] # <<<<<<<<<<<<<<
* data = data.filled(fill_value=fillval)
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*/
- __pyx_slice__64 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3983; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__64 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4037; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__64);
__Pyx_GIVEREF(__pyx_slice__64);
- /* "netCDF4/_netCDF4.pyx":4001
+ /* "netCDF4/_netCDF4.pyx":4055
* def __len__(self):
* if not self.shape:
* raise TypeError('len() of unsized object') # <<<<<<<<<<<<<<
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*/
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+ __pyx_tuple__65 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__65)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4055; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__65);
__Pyx_GIVEREF(__pyx_tuple__65);
- /* "netCDF4/_netCDF4.pyx":4013
+ /* "netCDF4/_netCDF4.pyx":4067
* Scientific.IO.NetCDF, can also be done by assigning to an Ellipsis slice ([...])."""
* if len(self.dimensions):
* raise IndexError('to assign values to a non-scalar variable, use a slice') # <<<<<<<<<<<<<<
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*
*/
- __pyx_tuple__66 = PyTuple_Pack(1, __pyx_kp_s_to_assign_values_to_a_non_scalar); if (unlikely(!__pyx_tuple__66)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4013; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__66 = PyTuple_Pack(1, __pyx_kp_s_to_assign_values_to_a_non_scalar); if (unlikely(!__pyx_tuple__66)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4067; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__66);
__Pyx_GIVEREF(__pyx_tuple__66);
- /* "netCDF4/_netCDF4.pyx":4014
+ /* "netCDF4/_netCDF4.pyx":4068
* if len(self.dimensions):
* raise IndexError('to assign values to a non-scalar variable, use a slice')
* self[:]=val # <<<<<<<<<<<<<<
*
* def getValue(self):
*/
- __pyx_slice__67 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__67)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4014; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__67 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__67)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__67);
__Pyx_GIVEREF(__pyx_slice__67);
- /* "netCDF4/_netCDF4.pyx":4023
+ /* "netCDF4/_netCDF4.pyx":4077
* Scientific.IO.NetCDF, can also be done by slicing with an Ellipsis ([...])."""
* if len(self.dimensions):
* raise IndexError('to retrieve values from a non-scalar variable, use slicing') # <<<<<<<<<<<<<<
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*
*/
- __pyx_tuple__68 = PyTuple_Pack(1, __pyx_kp_s_to_retrieve_values_from_a_non_sc); if (unlikely(!__pyx_tuple__68)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4023; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__68 = PyTuple_Pack(1, __pyx_kp_s_to_retrieve_values_from_a_non_sc); if (unlikely(!__pyx_tuple__68)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4077; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__68);
__Pyx_GIVEREF(__pyx_tuple__68);
- /* "netCDF4/_netCDF4.pyx":4024
+ /* "netCDF4/_netCDF4.pyx":4078
* if len(self.dimensions):
* raise IndexError('to retrieve values from a non-scalar variable, use slicing')
* return self[slice(None)] # <<<<<<<<<<<<<<
*
* def set_auto_maskandscale(self,maskandscale):
*/
- __pyx_slice__69 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__69)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4024; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__69 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__69)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4078; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__69);
__Pyx_GIVEREF(__pyx_slice__69);
- /* "netCDF4/_netCDF4.pyx":4163
+ /* "netCDF4/_netCDF4.pyx":4221
* startp[n] = start[n]+stride[n]*(count[n]-1)
* stride[n] = -stride[n]
* sl.append(slice(None, None, -1)) # this slice will reverse the data # <<<<<<<<<<<<<<
* else:
* startp[n] = start[n]
*/
- __pyx_slice__70 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__70)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4163; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__70 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__70)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4221; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__70);
__Pyx_GIVEREF(__pyx_slice__70);
- /* "netCDF4/_netCDF4.pyx":4167
+ /* "netCDF4/_netCDF4.pyx":4225
* startp[n] = start[n]
* stridep[n] = stride[n]
* sl.append(slice(None,None, 1)) # <<<<<<<<<<<<<<
* totelem = totelem*countp[n]
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*/
- __pyx_slice__71 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__71)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4167; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__71 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__71)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4225; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__71);
__Pyx_GIVEREF(__pyx_slice__71);
- /* "netCDF4/_netCDF4.pyx":4173
+ /* "netCDF4/_netCDF4.pyx":4231
* dataelem = PyArray_SIZE(data)
* if totelem != dataelem:
* raise IndexError('size of data array does not conform to slice') # <<<<<<<<<<<<<<
* if negstride:
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*/
- __pyx_tuple__72 = PyTuple_Pack(1, __pyx_kp_s_size_of_data_array_does_not_conf); if (unlikely(!__pyx_tuple__72)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4173; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__72 = PyTuple_Pack(1, __pyx_kp_s_size_of_data_array_does_not_conf); if (unlikely(!__pyx_tuple__72)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4231; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__72);
__Pyx_GIVEREF(__pyx_tuple__72);
- /* "netCDF4/_netCDF4.pyx":4187
+ /* "netCDF4/_netCDF4.pyx":4245
* if self.endian() == 'native':
* if is_native_little and data.dtype.byteorder == '>':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_big and data.dtype.byteorder == '<':
* data.byteswap(True)
*/
- __pyx_tuple__73 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__73)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4187; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__73 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__73)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__73);
__Pyx_GIVEREF(__pyx_tuple__73);
- /* "netCDF4/_netCDF4.pyx":4189
+ /* "netCDF4/_netCDF4.pyx":4247
* data.byteswap(True)
* if is_native_big and data.dtype.byteorder == '<':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if self.endian() == 'big':
* if is_native_big and data.dtype.byteorder not in ['=','|']:
*/
- __pyx_tuple__74 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__74 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__74);
__Pyx_GIVEREF(__pyx_tuple__74);
- /* "netCDF4/_netCDF4.pyx":4192
+ /* "netCDF4/_netCDF4.pyx":4250
* if self.endian() == 'big':
* if is_native_big and data.dtype.byteorder not in ['=','|']:
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_little and data.dtype.byteorder == '=':
* data.byteswap(True)
*/
- __pyx_tuple__75 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__75)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__75 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__75)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4250; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__75);
__Pyx_GIVEREF(__pyx_tuple__75);
- /* "netCDF4/_netCDF4.pyx":4194
+ /* "netCDF4/_netCDF4.pyx":4252
* data.byteswap(True)
* if is_native_little and data.dtype.byteorder == '=':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if self.endian() == 'little':
* if is_native_little and data.dtype.byteorder not in ['=','|']:
*/
- __pyx_tuple__76 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__76)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4194; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__76 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__76)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4252; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__76);
__Pyx_GIVEREF(__pyx_tuple__76);
- /* "netCDF4/_netCDF4.pyx":4197
+ /* "netCDF4/_netCDF4.pyx":4255
* if self.endian() == 'little':
* if is_native_little and data.dtype.byteorder not in ['=','|']:
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_big and data.dtype.byteorder == '=':
* data.byteswap(True)
*/
- __pyx_tuple__77 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__77)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4197; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__77 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__77)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__77);
__Pyx_GIVEREF(__pyx_tuple__77);
- /* "netCDF4/_netCDF4.pyx":4199
+ /* "netCDF4/_netCDF4.pyx":4257
* data.byteswap(True)
* if is_native_big and data.dtype.byteorder == '=':
* data.byteswap(True) # <<<<<<<<<<<<<<
* # strides all 1 or scalar variable, use put_vara (faster)
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*/
- __pyx_tuple__78 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__78)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4199; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__78 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__78)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__78);
__Pyx_GIVEREF(__pyx_tuple__78);
- /* "netCDF4/_netCDF4.pyx":4211
+ /* "netCDF4/_netCDF4.pyx":4269
* elif self._isvlen:
* if data.dtype.char !='O':
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* data = data.flatten()
*/
- __pyx_tuple__79 = PyTuple_Pack(1, __pyx_kp_s_data_to_put_in_string_variable_m); if (unlikely(!__pyx_tuple__79)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__79 = PyTuple_Pack(1, __pyx_kp_s_data_to_put_in_string_variable_m); if (unlikely(!__pyx_tuple__79)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4269; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__79);
__Pyx_GIVEREF(__pyx_tuple__79);
- /* "netCDF4/_netCDF4.pyx":4230
+ /* "netCDF4/_netCDF4.pyx":4288
* startp, countp, strdata)
* else:
* raise IndexError('strides must all be 1 for string variables') # <<<<<<<<<<<<<<
* #ierr = nc_put_vars(self._grpid, self._varid,
* # startp, countp, stridep, strdata)
*/
- __pyx_tuple__80 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__80)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4230; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__80 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__80)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4288; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__80);
__Pyx_GIVEREF(__pyx_tuple__80);
- /* "netCDF4/_netCDF4.pyx":4246
+ /* "netCDF4/_netCDF4.pyx":4304
* elptr = (<void**>databuff)[0]
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*/
- __pyx_slice__81 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__81)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4246; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__81 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__81)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4304; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__81);
__Pyx_GIVEREF(__pyx_slice__81);
- /* "netCDF4/_netCDF4.pyx":4258
+ /* "netCDF4/_netCDF4.pyx":4316
* startp, countp, vldata)
* else:
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* #ierr = nc_put_vars(self._grpid, self._varid,
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*/
- __pyx_tuple__82 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__82)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4258; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__82 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__82)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4316; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__82);
__Pyx_GIVEREF(__pyx_tuple__82);
- /* "netCDF4/_netCDF4.pyx":4286
+ /* "netCDF4/_netCDF4.pyx":4344
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* if lendim == -1:
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* else:
*/
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+ __pyx_tuple__83 = PyTuple_Pack(1, __pyx_int_1); if (unlikely(!__pyx_tuple__83)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4344; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__83);
__Pyx_GIVEREF(__pyx_tuple__83);
- /* "netCDF4/_netCDF4.pyx":4307
+ /* "netCDF4/_netCDF4.pyx":4365
* startp[n] = start[n]+stride[n]*(count[n]-1)
* stride[n] = -stride[n]
* sl.append(slice(None, None, -1)) # this slice will reverse the data # <<<<<<<<<<<<<<
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- __pyx_slice__84 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__84)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4307; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__84 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__84)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4365; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__84);
__Pyx_GIVEREF(__pyx_slice__84);
- /* "netCDF4/_netCDF4.pyx":4311
+ /* "netCDF4/_netCDF4.pyx":4369
* startp[n] = start[n]
* stridep[n] = stride[n]
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- __pyx_slice__85 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__85)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4311; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__85 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__85)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__85);
__Pyx_GIVEREF(__pyx_slice__85);
- /* "netCDF4/_netCDF4.pyx":4344
+ /* "netCDF4/_netCDF4.pyx":4402
* else:
* # FIXME: is this a bug in netCDF4?
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* #ierr = nc_get_vars(self._grpid, self._varid,
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*/
- __pyx_tuple__86 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__86)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4344; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__86 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__86)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4402; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__86);
__Pyx_GIVEREF(__pyx_tuple__86);
- /* "netCDF4/_netCDF4.pyx":4371
+ /* "netCDF4/_netCDF4.pyx":4429
* startp, countp, vldata)
* else:
* raise IndexError('strides must all be 1 for vlen variables') # <<<<<<<<<<<<<<
* #ierr = nc_get_vars(self._grpid, self._varid,
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*/
- __pyx_tuple__87 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__87)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4371; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__87 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__87)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4429; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__87);
__Pyx_GIVEREF(__pyx_tuple__87);
- /* "netCDF4/_netCDF4.pyx":4496
+ /* "netCDF4/_netCDF4.pyx":4554
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* try:
* xtype_tmp = _nptonctype[format.str[1:]] # <<<<<<<<<<<<<<
* except KeyError:
* raise ValueError('Unsupported compound type element')
*/
- __pyx_slice__88 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__88)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4496; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__88 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__88)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4554; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__88);
__Pyx_GIVEREF(__pyx_slice__88);
- /* "netCDF4/_netCDF4.pyx":4498
+ /* "netCDF4/_netCDF4.pyx":4556
* xtype_tmp = _nptonctype[format.str[1:]]
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* raise ValueError('Unsupported compound type element') # <<<<<<<<<<<<<<
* ierr = nc_insert_compound(grp._grpid, xtype, namstring,
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*/
- __pyx_tuple__89 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__89)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4498; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__89 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__89)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4556; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__89);
__Pyx_GIVEREF(__pyx_tuple__89);
- /* "netCDF4/_netCDF4.pyx":4521
+ /* "netCDF4/_netCDF4.pyx":4579
* if format.subdtype[0].str[1] != 'V': # primitive type.
* try:
* xtype_tmp = _nptonctype[format.subdtype[0].str[1:]] # <<<<<<<<<<<<<<
* except KeyError:
* raise ValueError('Unsupported compound type element')
*/
- __pyx_slice__90 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__90)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4521; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__90 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__90)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4579; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__90);
__Pyx_GIVEREF(__pyx_slice__90);
- /* "netCDF4/_netCDF4.pyx":4523
+ /* "netCDF4/_netCDF4.pyx":4581
* xtype_tmp = _nptonctype[format.subdtype[0].str[1:]]
* except KeyError:
* raise ValueError('Unsupported compound type element') # <<<<<<<<<<<<<<
* ierr = nc_insert_array_compound(grp._grpid,xtype,namstring,
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*/
- __pyx_tuple__91 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__91)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4523; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__91 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__91)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4581; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__91);
__Pyx_GIVEREF(__pyx_tuple__91);
- /* "netCDF4/_netCDF4.pyx":4561
+ /* "netCDF4/_netCDF4.pyx":4619
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* if parent_grp is None:
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- __pyx_tuple__92 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__92)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4561; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__92 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__92)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4619; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__92);
__Pyx_GIVEREF(__pyx_tuple__92);
- /* "netCDF4/_netCDF4.pyx":4563
+ /* "netCDF4/_netCDF4.pyx":4621
* raise ValueError("cannot find compound type in this group or parent groups")
* if parent_grp is None:
* raise ValueError("cannot find compound type in this group or parent groups") # <<<<<<<<<<<<<<
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- __pyx_tuple__93 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__93)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4563; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__93 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__93)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4621; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__93);
__Pyx_GIVEREF(__pyx_tuple__93);
- /* "netCDF4/_netCDF4.pyx":4637
+ /* "netCDF4/_netCDF4.pyx":4695
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* else:
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- __pyx_tuple__94 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__94)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4637; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__94 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__94)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4695; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__94);
__Pyx_GIVEREF(__pyx_tuple__94);
- /* "netCDF4/_netCDF4.pyx":4726
+ /* "netCDF4/_netCDF4.pyx":4784
* namstring = bytestr
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* if dt.str[1:] in _supportedtypes: # <<<<<<<<<<<<<<
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- __pyx_slice__95 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__95)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4726; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__95 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__95)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4784; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__95);
__Pyx_GIVEREF(__pyx_slice__95);
- /* "netCDF4/_netCDF4.pyx":4729
+ /* "netCDF4/_netCDF4.pyx":4787
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype_tmp = _nptonctype[dt.str[1:]] # <<<<<<<<<<<<<<
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*/
- __pyx_slice__96 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__96)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4729; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__96 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__96)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4787; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__96);
__Pyx_GIVEREF(__pyx_slice__96);
- /* "netCDF4/_netCDF4.pyx":4734
+ /* "netCDF4/_netCDF4.pyx":4792
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* else:
* raise KeyError("unsupported datatype specified for VLEN") # <<<<<<<<<<<<<<
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*
*/
- __pyx_tuple__97 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__97)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4734; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__97 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__97)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4792; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__97);
__Pyx_GIVEREF(__pyx_tuple__97);
- /* "netCDF4/_netCDF4.pyx":4761
+ /* "netCDF4/_netCDF4.pyx":4819
* dt = numpy.dtype(datatype) # see if it is a primitive type
* except KeyError:
* raise KeyError("unsupported component type for VLEN") # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__98 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__98)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4761; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__98 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__98)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__98);
__Pyx_GIVEREF(__pyx_tuple__98);
- /* "netCDF4/_netCDF4.pyx":4835
+ /* "netCDF4/_netCDF4.pyx":4893
* namstring = bytestr
* dt = numpy.dtype(dt) # convert to numpy datatype.
* if dt.str[1:] in _intnptonctype.keys(): # <<<<<<<<<<<<<<
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
*/
- __pyx_slice__99 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__99)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__99 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__99)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4893; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__99);
__Pyx_GIVEREF(__pyx_slice__99);
- /* "netCDF4/_netCDF4.pyx":4838
+ /* "netCDF4/_netCDF4.pyx":4896
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype_tmp = _intnptonctype[dt.str[1:]] # <<<<<<<<<<<<<<
* ierr = nc_def_enum(grp._grpid, xtype_tmp, namstring, &xtype);
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*/
- __pyx_slice__100 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__100)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__100 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__100)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4896; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__100);
__Pyx_GIVEREF(__pyx_slice__100);
- /* "netCDF4/_netCDF4.pyx":4879
+ /* "netCDF4/_netCDF4.pyx":4937
* dt = numpy.dtype(datatype) # see if it is a primitive type
* except KeyError:
* raise KeyError("unsupported component type for VLEN") # <<<<<<<<<<<<<<
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- __pyx_tuple__101 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__101)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4879; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__101 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__101)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4937; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__101);
__Pyx_GIVEREF(__pyx_tuple__101);
- /* "netCDF4/_netCDF4.pyx":4920
+ /* "netCDF4/_netCDF4.pyx":4965
+ * return str(bytestr,encoding='ascii')
+ * else:
+ * return bytestr.encode('ascii') # <<<<<<<<<<<<<<
+ *
+ * #----------------------------------------
+ */
+ __pyx_tuple__102 = PyTuple_Pack(1, __pyx_n_s_ascii); if (unlikely(!__pyx_tuple__102)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4965; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__102);
+ __Pyx_GIVEREF(__pyx_tuple__102);
+
+ /* "netCDF4/_netCDF4.pyx":4985
* units = timestr_split[0].lower()
* if timestr_split[1].lower() != 'since':
* raise ValueError("no 'since' in unit_string") # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__102 = PyTuple_Pack(1, __pyx_kp_s_no_since_in_unit_string); if (unlikely(!__pyx_tuple__102)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__102);
- __Pyx_GIVEREF(__pyx_tuple__102);
+ __pyx_tuple__103 = PyTuple_Pack(1, __pyx_kp_s_no_since_in_unit_string); if (unlikely(!__pyx_tuple__103)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4985; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__103);
+ __Pyx_GIVEREF(__pyx_tuple__103);
- /* "netCDF4/_netCDF4.pyx":4922
+ /* "netCDF4/_netCDF4.pyx":4987
* raise ValueError("no 'since' in unit_string")
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* n = timestr.find('since')+6 # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__103 = PyTuple_Pack(1, __pyx_n_s_since); if (unlikely(!__pyx_tuple__103)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4922; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__103);
- __Pyx_GIVEREF(__pyx_tuple__103);
+ __pyx_tuple__104 = PyTuple_Pack(1, __pyx_n_s_since); if (unlikely(!__pyx_tuple__104)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4987; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__104);
+ __Pyx_GIVEREF(__pyx_tuple__104);
- /* "netCDF4/_netCDF4.pyx":4934
+ /* "netCDF4/_netCDF4.pyx":4999
* basedate = netcdftime.datetime(year, month, day, hour, minute, second)
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* raise ValueError('cannot use utc_offset for reference years <= 0') # <<<<<<<<<<<<<<
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*
*/
- __pyx_tuple__104 = PyTuple_Pack(1, __pyx_kp_s_cannot_use_utc_offset_for_refere); if (unlikely(!__pyx_tuple__104)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4934; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__104);
- __Pyx_GIVEREF(__pyx_tuple__104);
+ __pyx_tuple__105 = PyTuple_Pack(1, __pyx_kp_s_cannot_use_utc_offset_for_refere); if (unlikely(!__pyx_tuple__105)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4999; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__105);
+ __Pyx_GIVEREF(__pyx_tuple__105);
- /* "netCDF4/_netCDF4.pyx":4955
+ /* "netCDF4/_netCDF4.pyx":5020
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- __Pyx_GOTREF(__pyx_tuple__105);
- __Pyx_GIVEREF(__pyx_tuple__105);
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+ __Pyx_GOTREF(__pyx_tuple__106);
+ __Pyx_GIVEREF(__pyx_tuple__106);
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+ /* "netCDF4/_netCDF4.pyx":5039
* dtype = a.dtype.kind
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- __Pyx_GOTREF(__pyx_tuple__106);
- __Pyx_GIVEREF(__pyx_tuple__106);
+ __pyx_tuple__107 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__107)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5039; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __Pyx_GIVEREF(__pyx_tuple__107);
- /* "netCDF4/_netCDF4.pyx":4993
+ /* "netCDF4/_netCDF4.pyx":5058
* dtype = b.dtype.kind
* if dtype not in ["S","U"]:
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- __Pyx_GOTREF(__pyx_tuple__107);
- __Pyx_GIVEREF(__pyx_tuple__107);
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+ __Pyx_GIVEREF(__pyx_tuple__108);
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+ /* "netCDF4/_netCDF4.pyx":5062
* slen = int(b.shape[-1])
* a = numpy.array([bs[n1:n1+slen] for n1 in range(0,len(bs),slen)],dtype+repr(slen))
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*/
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- __Pyx_GOTREF(__pyx_slice__108);
- __Pyx_GIVEREF(__pyx_slice__108);
+ __pyx_slice__109 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__109)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5062; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__109);
+ __Pyx_GIVEREF(__pyx_slice__109);
- /* "netCDF4/_netCDF4.pyx":5079
+ /* "netCDF4/_netCDF4.pyx":5144
* times.append(totaltime/1.e6/3600./24.)
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* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__109 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__109)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5079; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__109);
- __Pyx_GIVEREF(__pyx_tuple__109);
+ __pyx_tuple__110 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5144; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__110);
+ __Pyx_GIVEREF(__pyx_tuple__110);
- /* "netCDF4/_netCDF4.pyx":5173
+ /* "netCDF4/_netCDF4.pyx":5238
* tsecs = time*86400.
* else:
* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
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*/
- __pyx_tuple__110 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5173; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__110);
- __Pyx_GIVEREF(__pyx_tuple__110);
+ __pyx_tuple__111 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5238; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__111);
+ __Pyx_GIVEREF(__pyx_tuple__111);
- /* "netCDF4/_netCDF4.pyx":5225
+ /* "netCDF4/_netCDF4.pyx":5290
* nctime.units
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* raise AttributeError("netcdf time variable is missing a 'units' attribute") # <<<<<<<<<<<<<<
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- __pyx_tuple__111 = PyTuple_Pack(1, __pyx_kp_s_netcdf_time_variable_is_missing); if (unlikely(!__pyx_tuple__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5225; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__111);
- __Pyx_GIVEREF(__pyx_tuple__111);
+ __pyx_tuple__112 = PyTuple_Pack(1, __pyx_kp_s_netcdf_time_variable_is_missing); if (unlikely(!__pyx_tuple__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5290; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__112);
+ __Pyx_GIVEREF(__pyx_tuple__112);
- /* "netCDF4/_netCDF4.pyx":5311
+ /* "netCDF4/_netCDF4.pyx":5376
* # can be used like a CDF instance.
* if isinstance(files, str):
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- __Pyx_GOTREF(__pyx_tuple__112);
- __Pyx_GIVEREF(__pyx_tuple__112);
+ __pyx_tuple__113 = PyTuple_Pack(1, __pyx_n_s_http); if (unlikely(!__pyx_tuple__113)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__113);
+ __Pyx_GIVEREF(__pyx_tuple__113);
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+ /* "netCDF4/_netCDF4.pyx":5438
* # Make sure each file defines the same aggregation variables as the master
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- __Pyx_GIVEREF(__pyx_slice__113);
+ __pyx_slice__114 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__114)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5438; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__114);
+ __Pyx_GIVEREF(__pyx_slice__114);
- /* "netCDF4/_netCDF4.pyx":5384
+ /* "netCDF4/_netCDF4.pyx":5449
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- __pyx_slice__114 = PySlice_New(Py_None, __pyx_int_3, Py_None); if (unlikely(!__pyx_slice__114)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5384; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__114);
- __Pyx_GIVEREF(__pyx_slice__114);
+ __pyx_slice__115 = PySlice_New(Py_None, __pyx_int_3, Py_None); if (unlikely(!__pyx_slice__115)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5449; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__115);
+ __Pyx_GIVEREF(__pyx_slice__115);
- /* "netCDF4/_netCDF4.pyx":5401
+ /* "netCDF4/_netCDF4.pyx":5466
* "master %s (%s) and extension %s (%s)" %
* (v, master, len(masterShape), f, len(extShape)))
* if masterShape[1:] != extShape[1:]: # <<<<<<<<<<<<<<
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*/
- __pyx_slice__115 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__115)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5401; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_slice__116 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__116)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5401; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__116 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__116)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5466; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__116);
__Pyx_GIVEREF(__pyx_slice__116);
+ __pyx_slice__117 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5466; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__117);
+ __Pyx_GIVEREF(__pyx_slice__117);
- /* "netCDF4/_netCDF4.pyx":5444
+ /* "netCDF4/_netCDF4.pyx":5509
* for dset in self._cdf:
* if dset.file_format == 'NETCDF4' or dset.data_model == 'NETCDF4':
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- __Pyx_GOTREF(__pyx_tuple__117);
- __Pyx_GIVEREF(__pyx_tuple__117);
+ __pyx_tuple__118 = PyTuple_Pack(1, __pyx_kp_s_MFNetCDF4_only_works_with_NETCDF); if (unlikely(!__pyx_tuple__118)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5509; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__118);
+ __Pyx_GIVEREF(__pyx_tuple__118);
- /* "netCDF4/_netCDF4.pyx":5560
+ /* "netCDF4/_netCDF4.pyx":5625
* def __len__(self):
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- __Pyx_GOTREF(__pyx_tuple__118);
- __Pyx_GIVEREF(__pyx_tuple__118);
+ __pyx_tuple__119 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__119)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5625; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__119);
+ __Pyx_GIVEREF(__pyx_tuple__119);
- /* "netCDF4/_netCDF4.pyx":5565
+ /* "netCDF4/_netCDF4.pyx":5630
* def _shape(self):
* recdimlen = len(self._dset.dimensions[self._recdimname])
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- __Pyx_GOTREF(__pyx_slice__119);
- __Pyx_GIVEREF(__pyx_slice__119);
+ __pyx_slice__120 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__120)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5630; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__120);
+ __Pyx_GIVEREF(__pyx_slice__120);
- /* "netCDF4/_netCDF4.pyx":5586
+ /* "netCDF4/_netCDF4.pyx":5651
* # The convention used is that for those cases,
* # put_ind for this dimension is set to -1 by _StartCountStride.
* squeeze = data.ndim * [slice(None),] # <<<<<<<<<<<<<<
* for i,n in enumerate(put_ind.shape[:-1]):
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*/
- __pyx_slice__120 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__120)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5586; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__120);
- __Pyx_GIVEREF(__pyx_slice__120);
+ __pyx_slice__121 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__121)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5651; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__121);
+ __Pyx_GIVEREF(__pyx_slice__121);
- /* "netCDF4/_netCDF4.pyx":5587
+ /* "netCDF4/_netCDF4.pyx":5652
* # put_ind for this dimension is set to -1 by _StartCountStride.
* squeeze = data.ndim * [slice(None),]
* for i,n in enumerate(put_ind.shape[:-1]): # <<<<<<<<<<<<<<
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- __pyx_slice__121 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__121)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5587; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__121);
- __Pyx_GIVEREF(__pyx_slice__121);
+ __pyx_slice__122 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__122)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5652; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__122);
+ __Pyx_GIVEREF(__pyx_slice__122);
- /* "netCDF4/_netCDF4.pyx":5604
+ /* "netCDF4/_netCDF4.pyx":5669
* count = [abs(cnt) for cnt in count]
* if (numpy.array(stride) < 0).any():
* raise IndexError('negative strides not allowed when slicing MFVariable Variable instance') # <<<<<<<<<<<<<<
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* # dimension.
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- __pyx_tuple__122 = PyTuple_Pack(1, __pyx_kp_s_negative_strides_not_allowed_whe); if (unlikely(!__pyx_tuple__122)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5604; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__122);
- __Pyx_GIVEREF(__pyx_tuple__122);
+ __pyx_tuple__123 = PyTuple_Pack(1, __pyx_kp_s_negative_strides_not_allowed_whe); if (unlikely(!__pyx_tuple__123)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5669; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__123);
+ __Pyx_GIVEREF(__pyx_tuple__123);
- /* "netCDF4/_netCDF4.pyx":5628
+ /* "netCDF4/_netCDF4.pyx":5693
*
* # Rebuild the slicing expression for dimensions 1 and ssq.
* newSlice = [slice(None, None, None)] # <<<<<<<<<<<<<<
* for n in range(1, len(start)): # skip dimension 0
* s = slice(start[n],start[n] + count[n] * stride[n], stride[n])
*/
- __pyx_slice__123 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__123)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5628; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__123);
- __Pyx_GIVEREF(__pyx_slice__123);
+ __pyx_slice__124 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__124)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5693; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__124);
+ __Pyx_GIVEREF(__pyx_slice__124);
- /* "netCDF4/_netCDF4.pyx":5730
+ /* "netCDF4/_netCDF4.pyx":5795
* for t in self._recVar:
* if not hasattr(t,'calendar'):
* raise ValueError('MFTime requires that the time variable in all files have a calendar attribute') # <<<<<<<<<<<<<<
*
* # Check that calendar is the same in all files.
*/
- __pyx_tuple__124 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_time_va); if (unlikely(!__pyx_tuple__124)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5730; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__124);
- __Pyx_GIVEREF(__pyx_tuple__124);
+ __pyx_tuple__125 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_time_va); if (unlikely(!__pyx_tuple__125)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__125);
+ __Pyx_GIVEREF(__pyx_tuple__125);
- /* "netCDF4/_netCDF4.pyx":5734
+ /* "netCDF4/_netCDF4.pyx":5799
* # Check that calendar is the same in all files.
* if len(set([t.calendar for t in self._recVar])) > 1:
* raise ValueError('MFTime requires that the same time calendar is used by all files.') # <<<<<<<<<<<<<<
*
* # Override units if units is specified.
*/
- __pyx_tuple__125 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_same_ti); if (unlikely(!__pyx_tuple__125)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5734; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__125);
- __Pyx_GIVEREF(__pyx_tuple__125);
+ __pyx_tuple__126 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_same_ti); if (unlikely(!__pyx_tuple__126)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__126);
+ __Pyx_GIVEREF(__pyx_tuple__126);
- /* "netCDF4/_netCDF4.pyx":5740
+ /* "netCDF4/_netCDF4.pyx":5805
*
* # Reference date to compute the difference between different time units.
* ref_date = datetime.datetime(1900,1,1) # <<<<<<<<<<<<<<
* ref_num = date2num(ref_date, self.units, self.calendar)
*
*/
- __pyx_tuple__126 = PyTuple_Pack(3, __pyx_int_1900, __pyx_int_1, __pyx_int_1); if (unlikely(!__pyx_tuple__126)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5740; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__126);
- __Pyx_GIVEREF(__pyx_tuple__126);
+ __pyx_tuple__127 = PyTuple_Pack(3, __pyx_int_1900, __pyx_int_1, __pyx_int_1); if (unlikely(!__pyx_tuple__127)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5805; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__127);
+ __Pyx_GIVEREF(__pyx_tuple__127);
/* "netCDF4/_netCDF4.pyx":928
* from ordereddict import OrderedDict
@@ -74835,446 +75752,436 @@ static int __Pyx_InitCachedConstants(void) {
* try:
* from itertools import izip as zip
*/
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- __Pyx_GOTREF(__pyx_tuple__127);
- __Pyx_GIVEREF(__pyx_tuple__127);
-
- /* "netCDF4/_netCDF4.pyx":948
- * from numpy import __version__ as _npversion
- * from libc.string cimport memcpy
- * if _npversion.split('.')[0] < '1': # <<<<<<<<<<<<<<
- * raise ImportError('requires numpy version 1.0rc1 or later')
- * import_array()
- */
- __pyx_tuple__129 = PyTuple_Pack(1, __pyx_kp_s__128); if (unlikely(!__pyx_tuple__129)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 948; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__129);
- __Pyx_GIVEREF(__pyx_tuple__129);
+ __pyx_tuple__128 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__128)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__128);
+ __Pyx_GIVEREF(__pyx_tuple__128);
- /* "netCDF4/_netCDF4.pyx":949
- * from libc.string cimport memcpy
- * if _npversion.split('.')[0] < '1':
- * raise ImportError('requires numpy version 1.0rc1 or later') # <<<<<<<<<<<<<<
- * import_array()
- * include "netCDF4.pxi"
- */
- __pyx_tuple__130 = PyTuple_Pack(1, __pyx_kp_s_requires_numpy_version_1_0rc1_or); if (unlikely(!__pyx_tuple__130)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 949; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__130);
- __Pyx_GIVEREF(__pyx_tuple__130);
-
- /* "netCDF4/_netCDF4.pyx":956
+ /* "netCDF4/_netCDF4.pyx":954
* # check for required version of netcdf-4 and hdf5.
*
* def _gethdf5libversion(): # <<<<<<<<<<<<<<
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* minorvers = H5_VERS_MINOR
*/
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- __Pyx_GOTREF(__pyx_tuple__131);
- __Pyx_GIVEREF(__pyx_tuple__131);
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+ __pyx_tuple__129 = PyTuple_Pack(4, __pyx_n_s_majorvers, __pyx_n_s_minorvers, __pyx_n_s_releasevers, __pyx_n_s_patchstring); if (unlikely(!__pyx_tuple__129)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 954; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__129);
+ __Pyx_GIVEREF(__pyx_tuple__129);
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- /* "netCDF4/_netCDF4.pyx":966
+ /* "netCDF4/_netCDF4.pyx":964
* return '%d.%d.%d-%s' % (majorvers,minorvers,releasevers,patchstring)
*
* def getlibversion(): # <<<<<<<<<<<<<<
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+ __pyx_codeobj__131 = (PyObject*)__Pyx_PyCode_New(0, 0, 0, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_getlibversion, 964, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__131)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 964; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":982
+ /* "netCDF4/_netCDF4.pyx":980
* __has_cdf5__ = HAS_CDF5_FORMAT
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- __Pyx_GOTREF(__pyx_tuple__134);
- __Pyx_GIVEREF(__pyx_tuple__134);
+ __pyx_tuple__132 = PyTuple_Pack(1, __pyx_kp_s_4_4_0); if (unlikely(!__pyx_tuple__132)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 980; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__132);
+ __Pyx_GIVEREF(__pyx_tuple__132);
- /* "netCDF4/_netCDF4.pyx":1042
+ /* "netCDF4/_netCDF4.pyx":1040
*
* # logical for native endian type.
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*/
- __pyx_tuple__135 = PyTuple_Pack(1, __pyx_kp_s_f4_2); if (unlikely(!__pyx_tuple__135)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1042; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__135);
- __Pyx_GIVEREF(__pyx_tuple__135);
+ __pyx_tuple__133 = PyTuple_Pack(1, __pyx_kp_s_f4_2); if (unlikely(!__pyx_tuple__133)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1040; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__133);
+ __Pyx_GIVEREF(__pyx_tuple__133);
- /* "netCDF4/_netCDF4.pyx":1043
+ /* "netCDF4/_netCDF4.pyx":1041
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* is_native_little = numpy.dtype('<f4').byteorder == '='
* is_native_big = numpy.dtype('>f4').byteorder == '=' # <<<<<<<<<<<<<<
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- __Pyx_GOTREF(__pyx_tuple__136);
- __Pyx_GIVEREF(__pyx_tuple__136);
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+ __Pyx_GIVEREF(__pyx_tuple__134);
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+ __pyx_tuple__135 = PyTuple_Pack(1, __pyx_n_s_format); if (unlikely(!__pyx_tuple__135)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1156; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__135);
+ __Pyx_GIVEREF(__pyx_tuple__135);
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+
+ /* "netCDF4/_netCDF4.pyx":4960
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+ __pyx_tuple__137 = PyTuple_Pack(1, __pyx_n_s_bytestr); if (unlikely(!__pyx_tuple__137)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__137);
__Pyx_GIVEREF(__pyx_tuple__137);
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- /* "netCDF4/_netCDF4.pyx":4910
+ /* "netCDF4/_netCDF4.pyx":4975
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+ __pyx_tuple__139 = PyTuple_Pack(3, __pyx_int_1582, __pyx_int_10, __pyx_int_15); if (unlikely(!__pyx_tuple__139)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4975; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__139);
__Pyx_GIVEREF(__pyx_tuple__139);
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+ /* "netCDF4/_netCDF4.pyx":4977
* gregorian = datetime(1582,10,15)
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+ __pyx_tuple__140 = PyTuple_Pack(13, __pyx_n_s_timestr, __pyx_n_s_timestr_split, __pyx_n_s_units, __pyx_n_s_n, __pyx_n_s_isostring, __pyx_n_s_year, __pyx_n_s_month, __pyx_n_s_day, __pyx_n_s_hour, __pyx_n_s_minute, __pyx_n_s_second, __pyx_n_s_utc_offset, __pyx_n_s_basedate); if (unlikely(!__pyx_tuple__140)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4977; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__140);
__Pyx_GIVEREF(__pyx_tuple__140);
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+ __pyx_codeobj__141 = (PyObject*)__Pyx_PyCode_New(1, 0, 13, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__140, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_dateparse, 4977, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__141)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4977; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":4937
+ /* "netCDF4/_netCDF4.pyx":5002
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* def stringtoarr(string,NUMCHARS,dtype='S'): # <<<<<<<<<<<<<<
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+ __pyx_tuple__142 = PyTuple_Pack(4, __pyx_n_s_string, __pyx_n_s_NUMCHARS, __pyx_n_s_dtype, __pyx_n_s_arr); if (unlikely(!__pyx_tuple__142)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5002; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__142);
__Pyx_GIVEREF(__pyx_tuple__142);
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+ __pyx_codeobj__143 = (PyObject*)__Pyx_PyCode_New(3, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__142, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_stringtoarr, 5002, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__143)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5002; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":4960
+ /* "netCDF4/_netCDF4.pyx":5025
* return arr
*
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+ __pyx_tuple__144 = PyTuple_Pack(3, __pyx_n_s_a, __pyx_n_s_dtype, __pyx_n_s_b); if (unlikely(!__pyx_tuple__144)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5025; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__144);
__Pyx_GIVEREF(__pyx_tuple__144);
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+ __pyx_codeobj__145 = (PyObject*)__Pyx_PyCode_New(1, 0, 3, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__144, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_stringtochar, 5025, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__145)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5025; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":4979
+ /* "netCDF4/_netCDF4.pyx":5044
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+ __pyx_tuple__146 = PyTuple_Pack(6, __pyx_n_s_b, __pyx_n_s_dtype, __pyx_n_s_bs, __pyx_n_s_slen, __pyx_n_s_a, __pyx_n_s_n1); if (unlikely(!__pyx_tuple__146)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5044; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__146);
__Pyx_GIVEREF(__pyx_tuple__146);
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+ __pyx_codeobj__147 = (PyObject*)__Pyx_PyCode_New(1, 0, 6, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__146, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_chartostring, 5044, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__147)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5044; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":5000
+ /* "netCDF4/_netCDF4.pyx":5065
* return a
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* def date2num(dates,units,calendar='standard'): # <<<<<<<<<<<<<<
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+ __pyx_tuple__148 = PyTuple_Pack(15, __pyx_n_s_dates, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_basedate, __pyx_n_s_unit, __pyx_n_s_msg, __pyx_n_s_isscalar, __pyx_n_s_shape, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_times, __pyx_n_s_date, __pyx_n_s_td, __pyx_n_s_totaltime, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__148)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5065; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__148);
__Pyx_GIVEREF(__pyx_tuple__148);
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+ __pyx_codeobj__149 = (PyObject*)__Pyx_PyCode_New(3, 0, 15, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__148, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_date2num, 5065, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__149)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5065; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":5088
+ /* "netCDF4/_netCDF4.pyx":5153
* return cdftime.date2num(dates)
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+ __pyx_tuple__150 = PyTuple_Pack(20, __pyx_n_s_times, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_basedate, __pyx_n_s_unit, __pyx_n_s_msg, __pyx_n_s_isscalar, __pyx_n_s_shape, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_dates, __pyx_n_s_time, __pyx_n_s_tsecs, __pyx_n_s_days, __pyx_n_s_msecsd, __pyx_n_s_secs, __pyx_n_s_msecs, __pyx_n_s_td, __pyx_n_s_date, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__150)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5153; __pyx_clineno = __LINE__; [...]
__Pyx_GOTREF(__pyx_tuple__150);
__Pyx_GIVEREF(__pyx_tuple__150);
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+ __pyx_codeobj__151 = (PyObject*)__Pyx_PyCode_New(3, 0, 20, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__150, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_num2date, 5153, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__151)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5153; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":5256
* return cdftime.num2date(times)
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+ __pyx_tuple__152 = PyTuple_Pack(7, __pyx_n_s_dates, __pyx_n_s_nctime, __pyx_n_s_calendar, __pyx_n_s_select, __pyx_n_s_basedate, __pyx_n_s_msg, __pyx_n_s_times); if (unlikely(!__pyx_tuple__152)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__152);
__Pyx_GIVEREF(__pyx_tuple__152);
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+ __pyx_codeobj__153 = (PyObject*)__Pyx_PyCode_New(4, 0, 7, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__152, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_date2index, 5256, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__153)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":5277
+ /* "netCDF4/_netCDF4.pyx":5342
* """
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__Pyx_GIVEREF(__pyx_tuple__154);
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* def __setattr__(self, name, value): # <<<<<<<<<<<<<<
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* def __getattribute__(self, name): # <<<<<<<<<<<<<<
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+ __pyx_tuple__158 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_name); if (unlikely(!__pyx_tuple__158)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5519; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__158);
__Pyx_GIVEREF(__pyx_tuple__158);
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+ __pyx_codeobj__159 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__158, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_getattribute, 5519, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__159)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5519; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":5532
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__Pyx_GOTREF(__pyx_tuple__160);
__Pyx_GIVEREF(__pyx_tuple__160);
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+ /* "netCDF4/_netCDF4.pyx":5540
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+ __pyx_tuple__162 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_dset); if (unlikely(!__pyx_tuple__162)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5540; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__162);
__Pyx_GIVEREF(__pyx_tuple__162);
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+ __pyx_codeobj__163 = (PyObject*)__Pyx_PyCode_New(1, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__162, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_close, 5540, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__163)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5540; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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* def __repr__(self): # <<<<<<<<<<<<<<
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__Pyx_GIVEREF(__pyx_tuple__164);
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__Pyx_GOTREF(__pyx_tuple__166);
__Pyx_GIVEREF(__pyx_tuple__166);
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__Pyx_GOTREF(__pyx_tuple__168);
__Pyx_GIVEREF(__pyx_tuple__168);
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__Pyx_GOTREF(__pyx_tuple__170);
__Pyx_GIVEREF(__pyx_tuple__170);
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- /* "netCDF4/_netCDF4.pyx":5511
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__Pyx_GOTREF(__pyx_tuple__172);
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+ __pyx_codeobj__173 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__172, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_repr, 5576, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__173)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5576; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":5583
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__Pyx_GOTREF(__pyx_tuple__174);
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+ /* "netCDF4/_netCDF4.pyx":5596
* for name, value in var.__dict__.items():
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+ __pyx_tuple__176 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__176)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5596; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__176);
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+ /* "netCDF4/_netCDF4.pyx":5598
* def typecode(self):
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* def ncattrs(self): # <<<<<<<<<<<<<<
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+ __pyx_tuple__178 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__178)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5598; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__178);
__Pyx_GIVEREF(__pyx_tuple__178);
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__Pyx_GOTREF(__pyx_tuple__180);
__Pyx_GIVEREF(__pyx_tuple__180);
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+ __pyx_tuple__182 = PyTuple_Pack(8, __pyx_n_s_self, __pyx_n_s_ncdump_var, __pyx_n_s_dimnames, __pyx_n_s_attrs, __pyx_n_s_unlimdims, __pyx_n_s_dimname, __pyx_n_s_dim, __pyx_n_s_name); if (unlikely(!__pyx_tuple__182)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5607; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__182);
__Pyx_GIVEREF(__pyx_tuple__182);
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+ /* "netCDF4/_netCDF4.pyx":5623
* ncdump_var.append('current size = %s\n' % repr(self.shape))
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* def __len__(self): # <<<<<<<<<<<<<<
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__Pyx_GOTREF(__pyx_tuple__184);
__Pyx_GIVEREF(__pyx_tuple__184);
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* def _shape(self): # <<<<<<<<<<<<<<
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__Pyx_GOTREF(__pyx_tuple__186);
__Pyx_GIVEREF(__pyx_tuple__186);
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* recdimlen = len(self._dset.dimensions[self._recdimname])
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__Pyx_GOTREF(__pyx_tuple__188);
__Pyx_GIVEREF(__pyx_tuple__188);
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+ /* "netCDF4/_netCDF4.pyx":5634
* for v in self._recVar:
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__Pyx_GOTREF(__pyx_tuple__190);
__Pyx_GIVEREF(__pyx_tuple__190);
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__Pyx_GOTREF(__pyx_tuple__192);
__Pyx_GIVEREF(__pyx_tuple__192);
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+ __pyx_tuple__194 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__194)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5773; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__194);
__Pyx_GIVEREF(__pyx_tuple__194);
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*
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* def __getitem__(self, elem): # <<<<<<<<<<<<<<
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+ __pyx_tuple__195 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_elem); if (unlikely(!__pyx_tuple__195)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__195);
__Pyx_GIVEREF(__pyx_tuple__195);
- __pyx_codeobj__196 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__195, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_getitem, 5756, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__196)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5756; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_codeobj__196 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__195, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jwhitaker_python_netcdf4, __pyx_n_s_getitem, 5821, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__196)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_RefNannyFinishContext();
return 0;
__pyx_L1_error:;
@@ -75382,7 +76289,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
#endif
/*--- Module creation code ---*/
#if PY_MAJOR_VERSION < 3
- __pyx_m = Py_InitModule4("_netCDF4", __pyx_methods, __pyx_k_Version_1_2_2_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
+ __pyx_m = Py_InitModule4("_netCDF4", __pyx_methods, __pyx_k_Version_1_2_3_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
#else
__pyx_m = PyModule_Create(&__pyx_moduledef);
#endif
@@ -75418,12 +76325,12 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
/*--- Variable export code ---*/
/*--- Function export code ---*/
/*--- Type init code ---*/
- __pyx_ptype_7netCDF4_8_netCDF4_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_7netCDF4_8_netCDF4_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 725; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Dataset) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1539; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_ptype_7netCDF4_8_netCDF4_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_7netCDF4_8_netCDF4_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Dataset) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1545; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_Dataset.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dataset, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1539; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dataset, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1545; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_7Dataset___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_7Dataset___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_7Dataset___init__;
@@ -75431,15 +76338,15 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "Dataset", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dataset) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1539; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "Dataset", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dataset) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1545; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_type_7netCDF4_8_netCDF4_Dataset.tp_weaklistoffset == 0) __pyx_type_7netCDF4_8_netCDF4_Dataset.tp_weaklistoffset = offsetof(struct __pyx_obj_7netCDF4_8_netCDF4_Dataset, __weakref__);
__pyx_ptype_7netCDF4_8_netCDF4_Dataset = &__pyx_type_7netCDF4_8_netCDF4_Dataset;
__pyx_type_7netCDF4_8_netCDF4_Group.tp_base = __pyx_ptype_7netCDF4_8_netCDF4_Dataset;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2540; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_Group.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Group, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Group, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2540; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_5Group___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_5Group___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_5Group___init__;
@@ -75447,14 +76354,14 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "Group", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "Group", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Group) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2540; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_type_7netCDF4_8_netCDF4_Group.tp_weaklistoffset == 0) __pyx_type_7netCDF4_8_netCDF4_Group.tp_weaklistoffset = offsetof(struct __pyx_obj_7netCDF4_8_netCDF4_Group, __pyx_base.__weakref__);
__pyx_ptype_7netCDF4_8_netCDF4_Group = &__pyx_type_7netCDF4_8_netCDF4_Group;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Dimension) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Dimension) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_Dimension.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_9Dimension___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_9Dimension___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_9Dimension___init__;
@@ -75462,13 +76369,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "Dimension", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "Dimension", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_Dimension = &__pyx_type_7netCDF4_8_netCDF4_Dimension;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_Variable.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_8Variable___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_8Variable___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_8Variable___init__;
@@ -75476,13 +76383,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "Variable", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "Variable", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_Variable = &__pyx_type_7netCDF4_8_netCDF4_Variable;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4465; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_CompoundType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4465; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_12CompoundType___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_12CompoundType___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_12CompoundType___init__;
@@ -75490,13 +76397,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "CompoundType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "CompoundType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4465; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_CompoundType = &__pyx_type_7netCDF4_8_netCDF4_CompoundType;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4652; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4710; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_VLType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4652; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4710; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_6VLType___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_6VLType___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_6VLType___init__;
@@ -75504,13 +76411,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "VLType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4652; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "VLType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4710; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_VLType = &__pyx_type_7netCDF4_8_netCDF4_VLType;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_EnumType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_8EnumType___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_8EnumType___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_8EnumType___init__;
@@ -75518,9 +76425,9 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "EnumType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4766; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "EnumType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_EnumType = &__pyx_type_7netCDF4_8_netCDF4_EnumType;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1020; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1018; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr.tp_print = 0;
__pyx_ptype_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr = &__pyx_type_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr;
/*--- Type import code ---*/
@@ -75733,7 +76640,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
* try:
* from itertools import izip as zip
*/
- __pyx_t_14 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__127, NULL); if (unlikely(!__pyx_t_14)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L14_except_error;}
+ __pyx_t_14 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__128, NULL); if (unlikely(!__pyx_t_14)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L14_except_error;}
__Pyx_GOTREF(__pyx_t_14);
__Pyx_Raise(__pyx_t_14, 0, 0, 0);
__Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
@@ -75878,11 +76785,11 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
/* "netCDF4/_netCDF4.pyx":935
* pass
*
- * __version__ = "1.2.2" # <<<<<<<<<<<<<<
+ * __version__ = "1.2.3" # <<<<<<<<<<<<<<
*
* # Initialize numpy
*/
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_version, __pyx_kp_s_1_2_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 935; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_version, __pyx_kp_s_1_2_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 935; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "netCDF4/_netCDF4.pyx":938
*
@@ -75961,7 +76868,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
* import warnings
* from glob import glob # <<<<<<<<<<<<<<
* from numpy import ma
- * from numpy import __version__ as _npversion
+ * from libc.string cimport memcpy
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+ __Pyx_GIVEREF(__pyx_t_7);
+ PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_7);
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+ __pyx_t_7 = __Pyx_CalculateMetaclass(NULL, __pyx_t_2); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
- /* "netCDF4/_netCDF4.pyx":5708
+ /* "netCDF4/_netCDF4.pyx":5773
* """
*
* def __init__(self, time, units=None): # <<<<<<<<<<<<<<
* """
* **`__init__(self, time, units=None)`**
*/
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+ __pyx_t_13 = __Pyx_CyFunction_NewEx(&__pyx_mdef_7netCDF4_8_netCDF4_6MFTime_1__init__, 0, __pyx_n_s_MFTime___init, NULL, __pyx_n_s_netCDF4__netCDF4, __pyx_d, ((PyObject *)__pyx_codeobj__193)); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5773; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyObject_SetItem(__pyx_t_1, __pyx_n_s_init, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5773; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
- /* "netCDF4/_netCDF4.pyx":5756
+ /* "netCDF4/_netCDF4.pyx":5821
*
*
* def __getitem__(self, elem): # <<<<<<<<<<<<<<
* return self.__time[elem] + self.__delta[elem]
*/
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__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
- /* "netCDF4/_netCDF4.pyx":5673
+ /* "netCDF4/_netCDF4.pyx":5738
*
*
* class MFTime(_Variable): # <<<<<<<<<<<<<<
* """
* Class providing an interface to a MFDataset time Variable by imposing a unique common
*/
- __pyx_t_13 = __Pyx_Py3ClassCreate(__pyx_t_2, __pyx_n_s_MFTime, __pyx_t_7, __pyx_t_1, NULL, 0, 1); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5673; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_13 = __Pyx_Py3ClassCreate(__pyx_t_7, __pyx_n_s_MFTime, __pyx_t_2, __pyx_t_1, NULL, 0, 1); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_MFTime, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
+ __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "netCDF4/_netCDF4.pyx":1
* """ # <<<<<<<<<<<<<<
- * Version 1.2.2
+ * Version 1.2.3
* -------------
*/
- __pyx_t_7 = PyDict_New(); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_t_7);
- if (PyDict_SetItem(__pyx_t_7, __pyx_kp_u_Dataset_get_variables_by_attribu, __pyx_kp_u_get_variables_by_attribute_self) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
+ __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_t_2);
+ if (PyDict_SetItem(__pyx_t_2, __pyx_kp_u_Dataset_get_variables_by_attribu, __pyx_kp_u_get_variables_by_attribute_self) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/*--- Wrapped vars code ---*/
diff --git a/netCDF4/_netCDF4.pyx b/netCDF4/_netCDF4.pyx
index 22fd5d0..7168a55 100644
--- a/netCDF4/_netCDF4.pyx
+++ b/netCDF4/_netCDF4.pyx
@@ -1,5 +1,5 @@
"""
-Version 1.2.2
+Version 1.2.3
-------------
- - -
@@ -932,7 +932,7 @@ except ImportError:
# python3: zip is already python2's itertools.izip
pass
-__version__ = "1.2.2"
+__version__ = "1.2.3"
# Initialize numpy
import posixpath
@@ -943,10 +943,8 @@ import sys
import warnings
from glob import glob
from numpy import ma
-from numpy import __version__ as _npversion
from libc.string cimport memcpy
-if _npversion.split('.')[0] < '1':
- raise ImportError('requires numpy version 1.0rc1 or later')
+from libc.stdlib cimport malloc, free
import_array()
include "netCDF4.pxi"
include "constants.pyx"
@@ -1197,7 +1195,8 @@ cdef _get_full_format(int grpid):
ELSE:
return 'UNDEFINED'
-cdef _set_att(grp, int varid, name, value, nc_type xtype=-99):
+cdef _set_att(grp, int varid, name, value,\
+ nc_type xtype=-99, force_ncstring=False):
# Private function to set an attribute name/value pair
cdef int i, ierr, lenarr, n
cdef size_t att_len
@@ -1230,7 +1229,7 @@ cdef _set_att(grp, int varid, name, value, nc_type xtype=-99):
if lenarr == 0:
# write null byte
lenarr=1; datstring = '\x00'
- if value_arr.dtype.char == 'U' and not is_netcdf3:
+ if (force_ncstring or value_arr.dtype.char == 'U') and not is_netcdf3:
# check to see if attribute already exists
# and is NC_CHAR, if so delete it and re-create it
# (workaround for issue #485). Fixed in C library
@@ -1242,8 +1241,14 @@ cdef _set_att(grp, int varid, name, value, nc_type xtype=-99):
ierr = nc_del_att(grp._grpid, varid, attname)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- # a unicode string, use put_att_string (if NETCDF4 file).
- ierr = nc_put_att_string(grp._grpid, varid, attname, 1, &datstring)
+ # try to convert to ascii string, write as NC_CHAR
+ # else it's a unicode string, write as NC_STRING (if NETCDF4)
+ try:
+ if force_ncstring: raise UnicodeError
+ dats_ascii = _to_ascii(dats) # try to encode bytes as ascii string
+ ierr = nc_put_att_text(grp._grpid, varid, attname, lenarr, datstring)
+ except UnicodeError:
+ ierr = nc_put_att_string(grp._grpid, varid, attname, 1, &datstring)
else:
ierr = nc_put_att_text(grp._grpid, varid, attname, lenarr, datstring)
if ierr != NC_NOERR:
@@ -1533,7 +1538,8 @@ cdef _get_vars(group):
_private_atts =\
['_grpid','_grp','_varid','groups','dimensions','variables','dtype','data_model','disk_format',
'_nunlimdim','path','parent','ndim','mask','scale','cmptypes','vltypes','enumtypes','_isprimitive',
- 'file_format','_isvlen','_isenum','_iscompound','_cmptype','_vltype','_enumtype','name','__orthogoral_indexing__','keepweakref']
+ 'file_format','_isvlen','_isenum','_iscompound','_cmptype','_vltype','_enumtype','name',
+ '__orthogoral_indexing__','keepweakref','_has_lsd']
__pdoc__ = {}
cdef class Dataset:
@@ -1853,14 +1859,24 @@ Get the file system path (or the opendap URL) which was used to
open/create the Dataset. Requires netcdf >= 4.1.2"""
cdef int ierr
cdef size_t pathlen
- cdef char *path
+ cdef char *c_path
IF HAS_NC_INQ_PATH:
with nogil:
ierr = nc_inq_path(self._grpid, &pathlen, NULL)
- path = <char *>malloc(sizeof(char) * pathlen)
- with nogil:
- ierr = nc_inq_path(self._grpid, &pathlen, path)
- return path.decode('ascii')
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ c_path = <char *>malloc(sizeof(char) * pathlen)
+ if not c_path:
+ raise MemoryError()
+ try:
+ with nogil:
+ ierr = nc_inq_path(self._grpid, &pathlen, c_path)
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ py_path = c_path[:pathlen] # makes a copy of pathlen bytes from c_string
+ finally:
+ free(c_path)
+ return py_path.decode('ascii')
ELSE:
msg = """
filepath method not enabled. To enable, install Cython, make sure you have
@@ -2270,6 +2286,20 @@ with the same name as one of the reserved python attributes."""
_set_att(self, NC_GLOBAL, name, value)
if self.data_model != 'NETCDF4': self._enddef()
+ def setncattr_string(self,name,value):
+ """
+**`setncattr_string(self,name,value)`**
+
+set a netCDF dataset or group string attribute using name,value pair.
+Use if you need to ensure that a netCDF attribute is created with type
+`NC_STRING` if the file format is `NETCDF4`."""
+ cdef nc_type xtype
+ xtype=-99
+ if self.data_model != 'NETCDF4':
+ msg='file format does not support NC_STRING attributes'
+ raise IOError(msg)
+ _set_att(self, NC_GLOBAL, name, str(value), xtype=xtype, force_ncstring=True)
+
def setncatts(self,attdict):
"""
**`setncatts(self,attdict)`**
@@ -2816,7 +2846,8 @@ behavior is similar to Fortran or Matlab, but different than numpy.
"""
cdef public int _varid, _grpid, _nunlimdim
cdef public _name, ndim, dtype, mask, scale, _isprimitive, _iscompound,\
- _isvlen, _isenum, _grp, _cmptype, _vltype, _enumtype, __orthogonal_indexing__
+ _isvlen, _isenum, _grp, _cmptype, _vltype, _enumtype,\
+ __orthogonal_indexing__, _has_lsd
# Docstrings for class variables (used by pdoc).
__pdoc__['Variable.dimensions'] = \
"""A tuple containing the names of the
@@ -3198,6 +3229,8 @@ behavior is similar to Fortran or Matlab, but different than numpy.
# add_offset, and converting to/from masked arrays is True.
self.scale = True
self.mask = True
+ if 'least_significant_digit' in self.ncattrs():
+ self._has_lsd = True
def __array__(self):
# numpy special method that returns a numpy array.
@@ -3378,6 +3411,20 @@ attributes."""
_set_att(self._grp, self._varid, name, value)
if self._grp.data_model != 'NETCDF4': self._grp._enddef()
+ def setncattr_string(self,name,value):
+ """
+**`setncattr_string(self,name,value)`**
+
+set a netCDF variable string attribute using name,value pair.
+Use if you need to ensure that a netCDF attribute is created with type
+`NC_STRING` if the file format is `NETCDF4`."""
+ cdef nc_type xtype
+ xtype=-99
+ if self._grp.data_model != 'NETCDF4':
+ msg='file format does not support NC_STRING attributes'
+ raise IOError(msg)
+ _set_att(self._grp, self._varid, name, str(value), xtype=xtype, force_ncstring=True)
+
def setncatts(self,attdict):
"""
**`setncatts(self,attdict)`**
@@ -3776,6 +3823,11 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
# otherwise _FillValue.
if fill_value is not None:
data = ma.masked_array(data,mask=totalmask,fill_value=fill_value)
+ # issue 515 scalar array with mask=True should be converted
+ # to numpy.ma.MaskedConstant to be consistent with slicing
+ # behavior of masked arrays.
+ if data.shape == () and data.mask.all():
+ data = data[...]
return data
def _assign_vlen(self, elem, data):
@@ -3789,7 +3841,7 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
if not self._isvlen:
raise TypeError('_assign_vlen method only for use with VLEN variables')
ndims = self.ndim
- msg="single element VLEN slices must be specified by integers only"
+ msg="data can only be assigned to VLEN variables using integer indices"
# check to see that elem is a tuple of integers.
# handle negative integers.
if isinstance(elem, int):
@@ -3931,7 +3983,9 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
stride = stride.reshape((-1, self.ndim or 1))
put_ind = put_ind.reshape((-1, self.ndim or 1))
- if 'least_significant_digit' in self.ncattrs():
+ # quantize data if least_significant_digit attribute
+ # exists (improves compression).
+ if self._has_lsd:
data = _quantize(data,self.least_significant_digit)
# if auto_scale mode set to True, (through
# a call to set_auto_scale or set_auto_maskandscale),
@@ -4039,7 +4093,9 @@ is set to the missing_value attribute (if it exists), otherwise
the netCDF _FillValue attribute (which has a default value
for each data type). When data is written to a variable, the masked
array is converted back to a regular numpy array by replacing all the
-masked values by the fill_value of the masked array.
+masked values by the missing_value attribute of the variable (if it
+exists). If the variable has no missing_value attribute, the _FillValue
+is used instead.
If `maskandscale` is set to `True`, and the variable has a
`scale_factor` or an `add_offset` attribute, then data read
@@ -4115,7 +4171,9 @@ is set to the missing_value attribute (if it exists), otherwise
the netCDF _FillValue attribute (which has a default value
for each data type). When data is written to a variable, the masked
array is converted back to a regular numpy array by replacing all the
-masked values by the fill_value of the masked array.
+masked values by the missing_value attribute of the variable (if it
+exists). If the variable has no missing_value attribute, the _FillValue
+is used instead.
The default value of `mask` is `True`
(automatic conversions are performed).
@@ -4899,6 +4957,13 @@ cdef _strencode(pystr,encoding=None):
except (AttributeError, UnicodeDecodeError):
return pystr # already bytes or unicode?
+def _to_ascii(bytestr):
+ # encode a byte string to an ascii encoded string.
+ if python3:
+ return str(bytestr,encoding='ascii')
+ else:
+ return bytestr.encode('ascii')
+
#----------------------------------------
# extra utilities (formerly in utils.pyx)
#----------------------------------------
diff --git a/netCDF4/utils.py b/netCDF4/utils.py
index 4d659ab..37a3388 100644
--- a/netCDF4/utils.py
+++ b/netCDF4/utils.py
@@ -498,6 +498,9 @@ def ncinfo():
def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NETCDF3_64BIT'):
"""convert a netcdf 4 file (filename4) in NETCDF4_CLASSIC format
to a netcdf 3 file (filename3) in NETCDF3_64BIT format."""
+
+ from netCDF4 import Dataset
+
ncfile4 = Dataset(filename4,'r')
if ncfile4.file_format != 'NETCDF4_CLASSIC':
raise IOError('input file must be in NETCDF4_CLASSIC format')
@@ -533,30 +536,30 @@ def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NE
FillValue = None
var = ncfile3.createVariable(varname,ncvar.dtype,ncvar.dimensions,fill_value=FillValue)
# fill variable attributes.
- attdict = ncvar.__dict__
- if '_FillValue' in attdict:
- del attdict['_FillValue']
- var.setncatts(attdict)
- #for attname in ncvar.ncattrs():
- # if attname == '_FillValue': continue
- # setattr(var,attname,getattr(ncvar,attname))
- # fill variables with data.
- if hasunlimdim: # has an unlim dim, loop over unlim dim index.
- # range to copy
- if nchunk:
- start = 0; stop = len(unlimdim); step = nchunk
- if step < 1:
- step = 1
- for n in range(start, stop, step):
- nmax = n+nchunk
- if nmax > len(unlimdim):
- nmax=len(unlimdim)
- var[n:nmax] = ncvar[n:nmax]
- else:
- var[0:len(unlimdim)] = ncvar[:]
- else: # no unlim dim or 1-d variable, just copy all data at once.
- var[:] = ncvar[:]
- ncfile3.sync() # flush data to disk
+ attdict = ncvar.__dict__
+ if '_FillValue' in attdict:
+ del attdict['_FillValue']
+ var.setncatts(attdict)
+ #for attname in ncvar.ncattrs():
+ # if attname == '_FillValue': continue
+ # setattr(var,attname,getattr(ncvar,attname))
+ # fill variables with data.
+ if hasunlimdim: # has an unlim dim, loop over unlim dim index.
+ # range to copy
+ if nchunk:
+ start = 0; stop = len(unlimdim); step = nchunk
+ if step < 1:
+ step = 1
+ for n in range(start, stop, step):
+ nmax = n+nchunk
+ if nmax > len(unlimdim):
+ nmax=len(unlimdim)
+ var[n:nmax] = ncvar[n:nmax]
+ else:
+ var[0:len(unlimdim)] = ncvar[:]
+ else: # no unlim dim or 1-d variable, just copy all data at once.
+ var[:] = ncvar[:]
+ ncfile3.sync() # flush data to disk
# close files.
ncfile3.close()
ncfile4.close()
diff --git a/netcdftime/__init__.py b/netcdftime/__init__.py
index a7d1f4a..0886ec1 100644
--- a/netcdftime/__init__.py
+++ b/netcdftime/__init__.py
@@ -2,3 +2,4 @@ from .netcdftime import utime, JulianDayFromDate, DateFromJulianDay
from .netcdftime import datetime, _parse_date, date2index, time2index
from .netcdftime import microsec_units, millisec_units, \
sec_units, hr_units, day_units, min_units
+from .netcdftime import __version__
diff --git a/setup.py b/setup.py
index 8d506a5..f9b14b0 100644
--- a/setup.py
+++ b/setup.py
@@ -248,7 +248,20 @@ if not retcode:
lib_dirs = [str(l[2:].decode()) for l in dep.split() if l[0:2].decode() == '-L' ]
dep=subprocess.Popen([ncconfig,'--cflags'],stdout=subprocess.PIPE).communicate()[0]
inc_dirs = [str(i[2:].decode()) for i in dep.split() if i[0:2].decode() == '-I']
-# if nc-config didn't work (it won't on windows), fall back on brute force method
+elif subprocess.call(['pkg-config','--libs', 'hdf5'],stdout=subprocess.PIPE) == 0:
+ sys.stdout.write('using pkg-config ...\n')
+ dep=subprocess.Popen(['pkg-config','--libs','netcdf'],stdout=subprocess.PIPE).communicate()[0]
+ libs = [str(l[2:].decode()) for l in dep.split() if l[0:2].decode() == '-l' ]
+ lib_dirs = [str(l[2:].decode()) for l in dep.split() if l[0:2].decode() == '-L' ]
+ dep=subprocess.Popen(['pkg-config','--cflags', 'hdf5'],stdout=subprocess.PIPE).communicate()[0]
+ inc_dirs = [str(i[2:].decode()) for i in dep.split() if i[0:2].decode() == '-I']
+ dep=subprocess.Popen(['pkg-config','--libs','hdf5'],stdout=subprocess.PIPE).communicate()[0]
+ libs.extend([str(l[2:].decode()) for l in dep.split() if l[0:2].decode() == '-l' ])
+ lib_dirs.extend([str(l[2:].decode()) for l in dep.split() if l[0:2].decode() == '-L' ])
+ dep=subprocess.Popen(['pkg-config','--cflags', 'hdf5'],stdout=subprocess.PIPE).communicate()[0]
+ inc_dirs.extend([str(i[2:].decode()) for i in dep.split() if i[0:2].decode() == '-I'])
+
+# if nc-config and pkg-config both didn't work (it won't on windows), fall back on brute force method
else:
dirstosearch = [os.path.expanduser('~'),'/usr/local','/sw','/opt','/opt/local', '/usr']
@@ -432,7 +445,7 @@ else:
setup(name = "netCDF4",
cmdclass = cmdclass,
- version = "1.2.2",
+ version = "1.2.3",
long_description = "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.\n\nThis project has a `Sub [...]
author = "Jeff Whitaker",
author_email = "jeffrey.s.whitaker at noaa.gov",
diff --git a/test/run_all.py b/test/run_all.py
index f2a9c0d..1cdefc7 100755
--- a/test/run_all.py
+++ b/test/run_all.py
@@ -17,6 +17,12 @@ else:
if __netcdf4libversion__ < '4.2.1':
test_files.remove('tst_diskless.py')
sys.stdout.write('not running tst_diskless.py ...\n')
+if __netcdf4libversion__ < '4.1.2':
+ test_files.remove('tst_filepath.py')
+ sys.stdout.write('not running tst_filepath.py ...\n')
+if __netcdf4libversion__ < '4.4.0' or sys.maxsize < 2**32:
+ test_files.remove('tst_cdf5.py')
+ sys.stdout.write('not running tst_cdf5.py ...\n')
# Don't run tests that require network connectivity
if os.getenv('NO_NET'):
diff --git a/test/tst_atts.py b/test/tst_atts.py
index 9812548..e7dfe7b 100644
--- a/test/tst_atts.py
+++ b/test/tst_atts.py
@@ -1,4 +1,5 @@
import math
+import subprocess
import sys
import unittest
import os
@@ -81,10 +82,18 @@ class VariablesTestCase(unittest.TestCase):
v1.floatatt = FLOATATT
v1.seqatt = SEQATT
v1.stringseqatt = STRINGSEQATT
- # issue #485 (triggers segfault in C lib
+ # issue #485 (triggers segfault in C lib
# with version 1.2.1 without pull request #486)
f.foo = NP.array('bar','S')
f.foo = NP.array('bar','U')
+ # issue #529 write string attribute as NC_CHAR unless
+ # it can't be decoded to ascii. Add setncattr_string
+ # method to force NC_STRING.
+ f.charatt = u'foo' # will be written as NC_CHAR
+ f.setncattr_string('stringatt','bar') # NC_STRING
+ f.cafe = u'caf\xe9' # NC_STRING
+ f.batt = u'caf\xe9'.encode('utf-8') #NC_CHAR
+ v.setncattr_string('stringatt','bar') # NC_STRING
f.close()
def tearDown(self):
@@ -129,6 +138,18 @@ class VariablesTestCase(unittest.TestCase):
assert v.getncattr('ndim') == 'three'
assert v.getncattr('foo') == 1
assert v.getncattr('bar') == 2
+ # check type of attributes using ncdump (issue #529)
+ dep=subprocess.Popen(['ncdump','-h',FILE_NAME],stdout=subprocess.PIPE).communicate()[0]
+ try: # python 2
+ ncdump_output = dep.split('\n')
+ except TypeError: # python 3
+ ncdump_output = str(dep,encoding='utf-8').split('\n')
+ for line in ncdump_output:
+ line = line.strip('\t\n\r')
+ if "stringatt" in line: assert line.startswith('string')
+ if "charatt" in line: assert line.startswith(':')
+ if "cafe" in line: assert line.startswith('string')
+ if "batt" in line: assert line.startswith(':')
# check attributes in subgroup.
# global attributes.
for key,val in ATTDICT.items():
diff --git a/test/tst_cdf5.py b/test/tst_cdf5.py
new file mode 100644
index 0000000..1e8749e
--- /dev/null
+++ b/test/tst_cdf5.py
@@ -0,0 +1,35 @@
+from netCDF4 import Dataset
+import numpy as np
+import sys, os, unittest, tempfile
+from numpy.testing import assert_array_equal
+
+FILE_NAME = tempfile.mktemp(".nc")
+dimsize = np.iinfo(np.int64).max # max unsigned 64 bit integer
+ndim = 100
+arrdata = np.random.randint(np.iinfo(np.uint8).min,np.iinfo(np.uint8).max,size=ndim)
+
+class test_cdf5(unittest.TestCase):
+
+ def setUp(self):
+ self.netcdf_file = FILE_NAME
+ nc = Dataset(self.netcdf_file,'w',format='NETCDF3_64BIT_DATA')
+ # create a 64-bit dimension
+ d = nc.createDimension('dim',dimsize) # 64-bit dimension
+ # create an 8-bit unsigned integer variable
+ v = nc.createVariable('var',np.uint8,'dim')
+ v[:ndim] = arrdata
+ nc.close()
+
+ def tearDown(self):
+ # Remove the temporary files
+ os.remove(self.netcdf_file)
+
+ def runTest(self):
+ """testing NETCDF3_64BIT_DATA format (CDF-5)"""
+ f = Dataset(self.netcdf_file, 'r')
+ assert f.dimensions['dim'].size == dimsize
+ assert_array_equal(arrdata, f.variables['var'][:ndim])
+ f.close()
+
+if __name__ == '__main__':
+ unittest.main()
diff --git a/test/tst_filepath.py b/test/tst_filepath.py
new file mode 100644
index 0000000..84835dd
--- /dev/null
+++ b/test/tst_filepath.py
@@ -0,0 +1,15 @@
+import os
+import unittest
+import netCDF4
+
+class test_filepath(unittest.TestCase):
+
+ def setUp(self):
+ self.netcdf_file = os.path.join(os.getcwd(), "netcdf_dummy_file.nc")
+ self.nc = netCDF4.Dataset(self.netcdf_file)
+
+ def test_filepath(self):
+ assert self.nc.filepath() == str(self.netcdf_file)
+
+if __name__ == '__main__':
+ unittest.main()
diff --git a/test/tst_masked.py b/test/tst_masked.py
index 870c31a..ba0554e 100644
--- a/test/tst_masked.py
+++ b/test/tst_masked.py
@@ -28,7 +28,8 @@ ranarr[::2] = missing_value
ranarr2[::2] = missing_value2
NP.seterr(invalid='ignore') # silence warnings from ma.masked_values
maskedarr = ma.masked_values(ranarr,missing_value)
-maskedarr2 = ma.masked_values(ranarr2,missing_value2)
+#maskedarr2 = ma.masked_values(ranarr2,missing_value2)
+maskedarr2 = ma.masked_invalid(ranarr2)
scale_factor = (packeddata.max()-packeddata.min())/(2.*32766.)
add_offset = 0.5*(packeddata.max()+packeddata.min())
packeddata2 = NP.around((packeddata-add_offset)/scale_factor).astype('i2')
@@ -65,6 +66,9 @@ class PrimitiveTypesTestCase(unittest.TestCase):
doh2 = file.createVariable('packeddata3','i2','n')
doh2.add_offset = 1.
doh2[0] = 1.
+ # added test for issue 515
+ file.createDimension('x',1)
+ v = file.createVariable('v',NP.float,'x',fill_value=-9999)
file.close()
def tearDown(self):
@@ -103,6 +107,8 @@ class PrimitiveTypesTestCase(unittest.TestCase):
assert(datapacked3[:].dtype == NP.float)
# added to test fix to issue 46 (result before r865 was 10)
assert_array_equal(datapacked2[0],11)
+ # added test for issue 515
+ assert(file['v'][0] is NP.ma.masked)
file.close()
if __name__ == '__main__':
diff --git a/test/tst_multifile.py b/test/tst_multifile.py
index 3e4c1dc..ffe5106 100644
--- a/test/tst_multifile.py
+++ b/test/tst_multifile.py
@@ -29,7 +29,7 @@ class VariablesTestCase(unittest.TestCase):
dat = f.createVariable('data','i',('x','y','z',))
dat.long_name = 'phony data'
dat.missing_value = missval
- nx1 = nfile*ninc; nx2 = ninc*(nfile+1)
+ nx1 = int(nfile*ninc); nx2 = int(ninc*(nfile+1))
#x[0:ninc] = np.arange(nfile*ninc,ninc*(nfile+1))
x[:] = np.arange(nfile*ninc,ninc*(nfile+1))
#dat[0:ninc] = data[nx1:nx2]
diff --git a/test/tst_multifile2.py b/test/tst_multifile2.py
index 0a59013..34b21a1 100644
--- a/test/tst_multifile2.py
+++ b/test/tst_multifile2.py
@@ -30,7 +30,7 @@ class VariablesTestCase(unittest.TestCase):
dat = f.createVariable('data','i',('x','y','z',))
dat.long_name = 'phony data'
dat.missing_value = missval
- nx1 = nfile*ninc; nx2 = ninc*(nfile+1)
+ nx1 = int(nfile*ninc); nx2 = int(ninc*(nfile+1))
#x[0:ninc] = np.arange(nfile*ninc,ninc*(nfile+1))
x[:] = np.arange(nfile*ninc,ninc*(nfile+1))
#dat[0:ninc] = data[nx1:nx2]
--
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