[netcdf4-python] 01/04: Imported Upstream version 1.2.2
Sebastiaan Couwenberg
sebastic at moszumanska.debian.org
Sat Jan 2 00:40:01 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 e77cf6cb88397c6e8bfe8e95cf2b5cc4217a3595
Author: Bas Couwenberg <sebastic at xs4all.nl>
Date: Sat Jan 2 01:11:04 2016 +0100
Imported Upstream version 1.2.2
---
.travis.yml | 9 +-
Changelog | 29 +
README.md | 17 +-
docs/netCDF4/index.html | 174 +-
include/constants.pyx | 1 +
include/netCDF4.pxi | 11 +
netCDF4/_netCDF4.c | 23832 +++++++++++++++++++++++++--------------------
netCDF4/_netCDF4.pyx | 251 +-
netCDF4/utils.py | 6 +-
netcdftime/netcdftime.py | 27 +-
setup.py | 17 +-
test/tst_atts.py | 4 +
test/tst_masked3.py | 16 +-
test/tst_netcdftime.py | 50 +-
test/tst_scaled.py | 16 +-
test/tst_vlen.py | 8 +-
16 files changed, 13463 insertions(+), 11005 deletions(-)
diff --git a/.travis.yml b/.travis.yml
index e32cef6..e84b56b 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -18,17 +18,18 @@ python:
- "2.7"
- "3.3"
- "3.4"
+ - "3.5"
matrix:
include:
# Absolute minimum dependencies.
- - python: 2.7
+ - python: 2.6
env:
- - DEPENDS="numpy==1.7.0 cython==0.19"
+ - DEPENDS="numpy==1.7.0 cython==0.19 ordereddict==1.1"
# Test without Cython installed.
- - python: 2.7
+ - python: 2.6
env:
- - DEPENDS="numpy"
+ - DEPENDS="numpy ordereddict"
notifications:
email: false
diff --git a/Changelog b/Changelog
index 106ef92..f7cf6d3 100644
--- a/Changelog
+++ b/Changelog
@@ -1,3 +1,32 @@
+ version 1.2.2 (not yet released)
+ ================================
+ * 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
+ in netcdf-c using nc_free_string. Also use nc_free_vlens to free space allocated
+ for vlens inside netcdf-c (issue #495).
+ * invoke str on filename argument to Dataset constructor, so pathlib
+ instances can be used (issue #489).
+ * don't use hardwired NC_MAX_DIMS or NC_MAX_VARS internally to allocate space
+ for dimension or variable ids. Instead, find out the number of dims
+ and vars and use malloc. NC_MAX_NAME is still used to allocate space
+ for attribute and variable names, since there is no obvious way to
+ determine the length of these names.
+ * if trying to write a unicode attribute, check to see if it exists
+ first and is NC_CHAR, and if so, delete it and recreate it. Workaround for C
+ lib bug discovered in issue #485.
+ * support for NETCDF3_64BIT_DATA format supported in netcdf-c 4.4.0.
+ Similar to NETCDF3_64BIT (now NETCDF3_64BIT_OFFSET), but includes
+ 64 bit dimensions and sizes, plus unsigned and 64 bit integer
+ data types.
+ * make sure chunksize does not exceed dimension size
+ (for non-unlimited dimensions) on variable creation (issue #480).
+ * add 'size' attribute to Dimension (same as len(d), where
+ d is a Dimension instance, issue #477).
+ * fix bug in nc3tonc4 with --unpackshort=1 (issue #474).
+ * dates do not have to be contiguous, i.e. can be before and after the
+ missing dates in Gregorian calendar (pull request #476).
+
version 1.2.1 (tag v1.2.1rel)
=============================
* add the capability to slice variables with unsorted integer sequences,
diff --git a/README.md b/README.md
index ba2e09b..b68995c 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,21 @@
## News
For the latest updates, see the [Changelog](https://github.com/Unidata/netcdf4-python/blob/master/Changelog).
+1/1/2016: Version [1.2.2](https://pypi.python.org/pypi/netCDF4/1.2.2) released. Mostly bugfixes, but with two new features.
+
+* support for the new ``NETCDF3_64BIT_DATA`` format introduced in netcdf-c 4.4.0.
+Similar to ``NETCDF3_64BIT`` (now ``NETCDF3_64BIT_OFFSET``), but includes
+64 bit dimension sizes (> 2 billion), plus unsigned and 64 bit integer data types.
+Uses the classic (netcdf-3) data model, and does not use HDF5 as the underlying storage format.
+
+* Dimension objects now have a ``size`` attribute, which is the current length
+of the dimension (same as invoking ``len`` on the Dimension instance).
+
+The minimum required python version has now been increased from 2.5 to 2.6.
+
+10/15/2015: Version [1.2.1](https://pypi.python.org/pypi/netCDF4/1.2.1) released. Adds the ability
+to slice Variables with unsorted integer sequences, and integer sequences with duplicates.
+
9/23/2015: Version [1.2.0](https://pypi.python.org/pypi/netCDF4/1.2.0) released. New features:
* [get_variables_by_attributes](http://unidata.github.io/netcdf4-python/#netCDF4.Dataset.get_variables_by_attributes)
@@ -47,7 +62,7 @@ instead of relying exclusively on the nc-config utility.
* Clone GitHub repository (`git clone https://github.com/Unidata/netcdf4-python.git`), or get source tarball from [PyPI](https://pypi.python.org/pypi/netCDF4). Links to Windows and OS X precompiled binary packages are also available on [PyPI](https://pypi.python.org/pypi/netCDF4).
* Make sure [numpy](http://www.numpy.org/) (required) and [Cython](http://cython.org/) (recommended) are
- installed and you have [Python](https://www.python.org) 2.5 or newer.
+ installed and you have [Python](https://www.python.org) 2.6 or newer.
* Make sure [HDF5](http://www.h5py.org/) and netcdf-4 are installed, and the `nc-config` utility
is in your Unix PATH. If `setup.cfg` does not exist, copy `setup.cfg.template`
diff --git a/docs/netCDF4/index.html b/docs/netCDF4/index.html
index 81448d5..0b6d221 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 1.2.1
+ <meta name="description" content="Version 1.2.2
-------------
- - -
@@ -865,6 +865,7 @@ 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 */
@@ -1251,7 +1252,7 @@ table {
<header id="section-intro">
<h1 class="title"><span class="name">netCDF4</span> module</h1>
- <h2>Version 1.2.1</h2>
+ <h2>Version 1.2.2</h2>
<hr />
<h1>Introduction</h1>
<p>netcdf4-python is a Python interface to the netCDF C library. </p>
@@ -1279,7 +1280,7 @@ types) are not supported.</p>
</ul>
<h1>Requires</h1>
<ul>
-<li>Python 2.5 or later (python 3 works too).</li>
+<li>Python 2.6 or later (python 3 works too).</li>
<li><a href="http://numpy.scipy.org">numpy array module</a>, version 1.7.0 or later.</li>
<li><a href="http://cython.org">Cython</a>, version 0.19 or later, is optional - if it is installed setup.py will
use it to recompile the Cython source code into C, using conditional compilation
@@ -1352,10 +1353,17 @@ types) are not supported.</p>
constructor. This is also the method used to open an existing netCDF
file. If the file is open for write access (<code>mode='w', 'r+'</code> or <code>'a'</code>), you may
write any type of data including new dimensions, groups, variables and
-attributes. netCDF files come in several flavors (<code>NETCDF3_CLASSIC,
-NETCDF3_64BIT, NETCDF4_CLASSIC</code>, and <code>NETCDF4</code>). The first two flavors
-are supported by version 3 of the netCDF library. <code>NETCDF4_CLASSIC</code>
-files use the version 4 disk format (HDF5), but do not use any features
+attributes. netCDF files come in five flavors (<code>NETCDF3_CLASSIC,
+NETCDF3_64BIT_OFFSET, NETCDF3_64BIT_DATA, NETCDF4_CLASSIC</code>, and <code>NETCDF4</code>).
+<code>NETCDF3_CLASSIC</code> was the original netcdf binary format, and was limited
+to file sizes less than 2 Gb. <code>NETCDF3_64BIT_OFFSET</code> was introduced
+in version 3.6.0 of the library, and extended the original binary format
+to allow for file sizes greater than 2 Gb.
+<code>NETCDF3_64BIT_DATA</code> is a new format that requires version 4.4.0 of
+the C library - it extends the <code>NETCDF3_64BIT_OFFSET</code> binary format to
+allow for unsigned/64 bit integer data types and 64-bit dimension sizes.
+<code>NETCDF3_64BIT</code> is an alias for <code>NETCDF3_64BIT_OFFSET</code>.
+<code>NETCDF4_CLASSIC</code> files use the version 4 disk format (HDF5), but omits features
not found in the version 3 API. They can be read by netCDF 3 clients
only if they have been relinked against the netCDF 4 library. They can
also be read by HDF5 clients. <code>NETCDF4</code> files use the version 4 disk
@@ -1499,9 +1507,9 @@ The <a href="#netCDF4.Dimension.isunlimited"><code>isunlimited</code></a> method
can be used to determine if the dimensions is unlimited, or appendable.</p>
<div class="codehilite"><pre><span class="o">>>></span> <span class="k">print</span> <span class="nb">len</span><span class="p">(</span><span class="n">lon</span><span class="p">)</span>
<span class="mi">144</span>
-<span class="o">>>></span> <span class="k">print</span> <span class="nb">len</span><span class="o">.</span><span class="n">is_unlimited</span><span class="p">()</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="nb">len</span><span class="o">.</span><span class="n">isunlimited</span><span class="p">()</span>
<span class="bp">False</span>
-<span class="o">>>></span> <span class="k">print</span> <span class="n">time</span><span class="o">.</span><span class="n">is_unlimited</span><span class="p">()</span>
+<span class="o">>>></span> <span class="k">print</span> <span class="n">time</span><span class="o">.</span><span class="n">isunlimited</span><span class="p">()</span>
<span class="bp">True</span>
</pre></div>
@@ -1556,7 +1564,7 @@ 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="c"># two dimensions unlimited</span>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -1580,13 +1588,13 @@ 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="c"># 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="c1"># 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="c"># 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="c1"># 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>
@@ -1681,7 +1689,7 @@ 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="c"># append along two unlimited dimensions by assigning to slice.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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>
@@ -1692,7 +1700,7 @@ 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="c"># levels have grown, but no values yet assigned.</span>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -1701,7 +1709,7 @@ 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="c"># now, assign data to levels dimension variable.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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>
@@ -1754,7 +1762,7 @@ 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="c"># fill in times.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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">= [...]
@@ -1787,8 +1795,8 @@ Variables in the list of files that share the same unlimited
dimension are aggregated together, and can be sliced across multiple
files. To illustrate this, let's first create a bunch of netCDF files with
the same variable (with the same unlimited dimension). The files
-must in be in <code>NETCDF3_64BIT</code>, <code>NETCDF3_CLASSIC</code> or
-<code>NETCDF4_CLASSIC format</code> (<code>NETCDF4</code> formatted multi-file
+must in be in <code>NETCDF3_64BIT_OFFSET</code>, <code>NETCDF3_64BIT_DATA</code>, <code>NETCDF3_CLASSIC</code> or
+<code>NETCDF4_CLASSIC</code> format (<code>NETCDF4</code> formatted multi-file
datasets are not supported).</p>
<div class="codehilite"><pre><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>
@@ -1833,7 +1841,7 @@ and <code>endian</code> keyword arguments to
<a href="#netCDF4.Dataset.createVariable"><code>createVariable</code></a>. These keyword arguments only
are relevant for <code>NETCDF4</code> and <code>NETCDF4_CLASSIC</code> files (where the
underlying file format is HDF5) and are silently ignored if the file
-format is <code>NETCDF3_CLASSIC</code> or <code>NETCDF3_64BIT</code>,</p>
+format is <code>NETCDF3_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or <code>NETCDF3_64BIT_DATA</code>.</p>
<p>If your data only has a certain number of digits of precision (say for
example, it is temperature data that was measured with a precision of
0.1 degrees), you can dramatically improve zlib compression by
@@ -1878,30 +1886,30 @@ 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="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">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">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="c"># create complex128 compound data type.</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># create a variable with this data type, write some data to it.</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="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="c"># 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="c1"># 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="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">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">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="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">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">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="c"># .. fill it with contents of structured array.</span>
+<span class="o">>>></span> <span class="c1"># .. 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="c"># 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="c1"># 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="c"># 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="c1"># 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>
@@ -2036,12 +2044,12 @@ 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="c"># python dict with allowed values and their names.</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># create the Enum type called 'cloud_t'.</span>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -2059,17 +2067,17 @@ 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="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="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="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="c"># write some data to the variable.</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># reopen the file, read the data.</span>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -2420,7 +2428,7 @@ Enum types defined for the <a href="#netCDF4.Group"><code>Group</code></a> or <a
of the <a href="#netCDF4.EnumType"><code>EnumType</code></a> class.</p>
<p><strong><code>data_model</code></strong>: <code>data_model</code> describes the netCDF
data model version, one of <code>NETCDF3_CLASSIC</code>, <code>NETCDF4</code>,
-<code>NETCDF4_CLASSIC</code> or <code>NETCDF3_64BIT</code>.</p>
+<code>NETCDF4_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or <code>NETCDF3_64BIT_DATA</code>.</p>
<p><strong><code>file_format</code></strong>: same as <code>data_model</code>, retained for backwards compatibility.</p>
<p><strong><code>disk_format</code></strong>: <code>disk_format</code> describes the underlying
file format, one of <code>NETCDF3</code>, <code>HDF5</code>, <code>HDF4</code>,
@@ -2468,7 +2476,7 @@ compound types defined for the <a href="#netCDF4.Group"><code>Group</code></a> o
<div class="desc"><p><code>data_model</code> describes the netCDF
data model version, one of <code>NETCDF3_CLASSIC</code>, <code>NETCDF4</code>,
-<code>NETCDF4_CLASSIC</code> or <code>NETCDF3_64BIT</code>.</p></div>
+<code>NETCDF4_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or <code>NETCDF3_64BIT_DATA</code>.</p></div>
<div class="source_cont">
</div>
@@ -2614,13 +2622,15 @@ variable-length types defined for the <a href="#netCDF4.Group"><code>Group</code
<div class="desc"><p><a href="#netCDF4.Dataset"><code>Dataset</code></a> constructor.</p>
-<p><strong><code>filename</code></strong>: Name of netCDF file to hold dataset.</p>
+<p><strong><code>filename</code></strong>: Name of netCDF file to hold dataset. Can also
+be a python 3 pathlib instance or the URL of an OpenDAP dataset.</p>
<p><strong><code>mode</code></strong>: access mode. <code>r</code> means read-only; no data can be
modified. <code>w</code> means write; a new file is created, an existing file with
the same name is deleted. <code>a</code> and <code>r+</code> mean append (in analogy with
serial files); an existing file is opened for reading and writing.
Appending <code>s</code> to modes <code>w</code>, <code>r+</code> or <code>a</code> will enable unbuffered shared
-access to <code>NETCDF3_CLASSIC</code> or <code>NETCDF3_64BIT</code> formatted files.
+access to <code>NETCDF3_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or
+<code>NETCDF3_64BIT_DATA</code> formatted files.
Unbuffered acesss may be useful even if you don't need shared
access, since it may be faster for programs that don't access data
sequentially. This option is ignored for <code>NETCDF4</code> and <code>NETCDF4_CLASSIC</code>
@@ -2629,18 +2639,22 @@ formatted files.</p>
will clobber an existing file with the same name. if <code>False</code>, an
exception will be raised if a file with the same name already exists.</p>
<p><strong><code>format</code></strong>: underlying file format (one of <code>'NETCDF4',
-'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'</code> or <code>'NETCDF3_64BIT'</code>. Only
-relevant if <code>mode = 'w'</code> (if <code>mode = 'r','a'</code> or <code>'r+'</code> the file format
+'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'</code>, <code>'NETCDF3_64BIT_OFFSET'</code> or
+<code>'NETCDF3_64BIT_DATA'</code>.
+Only relevant if <code>mode = 'w'</code> (if <code>mode = 'r','a'</code> or <code>'r+'</code> the file format
is automatically detected). Default <code>'NETCDF4'</code>, which means the data is
stored in an HDF5 file, using netCDF 4 API features. Setting
<code>format='NETCDF4_CLASSIC'</code> will create an HDF5 file, using only netCDF 3
compatibile API features. netCDF 3 clients must be recompiled and linked
against the netCDF 4 library to read files in <code>NETCDF4_CLASSIC</code> format.
<code>'NETCDF3_CLASSIC'</code> is the classic netCDF 3 file format that does not
-handle 2+ Gb files very well. <code>'NETCDF3_64BIT'</code> is the 64-bit offset
+handle 2+ Gb files. <code>'NETCDF3_64BIT_OFFSET'</code> is the 64-bit offset
version of the netCDF 3 file format, which fully supports 2+ GB files, but
is only compatible with clients linked against netCDF version 3.6.0 or
-later.</p>
+later. <code>'NETCDF3_64BIT_DATA'</code> is the 64-bit data version of the netCDF 3
+file format, which supports 64-bit dimension sizes plus unsigned and
+64 bit integer data types, but is only compatible with clients linked against
+netCDF version 4.4.0 or later.</p>
<p><strong><code>diskless</code></strong>: If <code>True</code>, create diskless (in memory) file.<br />
This is an experimental feature added to the C library after the
netcdf-4.2 release.</p>
@@ -2940,10 +2954,10 @@ 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="c"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables with matching "standard_name" attribute</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>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -2951,11 +2965,11 @@ 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="c"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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">
@@ -3235,7 +3249,9 @@ calling the python <code>len</code> function on the <a href="#netCDF4.Dimension"
determine if the dimension is unlimited.</p>
<p>Read-only class variables:</p>
<p><strong><code>name</code></strong>: String name, used when creating a <a href="#netCDF4.Variable"><code>Variable</code></a> with
-<a href="#netCDF4.Dataset.createVariable"><code>createVariable</code></a>.</p></div>
+<a href="#netCDF4.Dataset.createVariable"><code>createVariable</code></a>.</p>
+<p><strong><code>size</code></strong>: Current <a href="#netCDF4.Dimension"><code>Dimension</code></a> size (same as <code>len(d)</code>, where <code>d</code> is a
+<a href="#netCDF4.Dimension"><code>Dimension</code></a> instance).</p></div>
<div class="source_cont">
</div>
@@ -3259,6 +3275,16 @@ determine if the dimension is unlimited.</p>
</div>
</div>
+ <div class="item">
+ <p id="netCDF4.Dimension.size" class="name">var <span class="ident">size</span></p>
+
+
+
+
+ <div class="source_cont">
+</div>
+
+ </div>
<h3>Static methods</h3>
<div class="item">
@@ -3452,7 +3478,7 @@ compound types defined for the <a href="#netCDF4.Group"><code>Group</code></a> o
<div class="desc inherited"><p><code>data_model</code> describes the netCDF
data model version, one of <code>NETCDF3_CLASSIC</code>, <code>NETCDF4</code>,
-<code>NETCDF4_CLASSIC</code> or <code>NETCDF3_64BIT</code>.</p></div>
+<code>NETCDF4_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or <code>NETCDF3_64BIT_DATA</code>.</p></div>
<div class="source_cont">
</div>
@@ -3982,10 +4008,10 @@ 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="c"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables with matching "standard_name" attribute</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>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -3993,11 +4019,11 @@ 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="c"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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">
@@ -4331,20 +4357,20 @@ each attribute</p></div>
<div class="desc"><p>Class for reading multi-file netCDF Datasets, making variables
spanning multiple files appear as if they were in one file.
-Datasets must be in <code>NETCDF4_CLASSIC, NETCDF3_CLASSIC or NETCDF3_64BIT</code>
-format (<code>NETCDF4</code> Datasets won't work).</p>
+Datasets must be in <code>NETCDF4_CLASSIC, NETCDF3_CLASSIC, NETCDF3_64BIT_OFFSET
+or NETCDF3_64BIT_DATA</code> format (<code>NETCDF4</code> Datasets won't work).</p>
<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="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="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="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="c"># now read all those files in at once, in one Dataset.</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="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 [...]
@@ -4393,7 +4419,7 @@ compound types defined for the <a href="#netCDF4.Group"><code>Group</code></a> o
<div class="desc inherited"><p><code>data_model</code> describes the netCDF
data model version, one of <code>NETCDF3_CLASSIC</code>, <code>NETCDF4</code>,
-<code>NETCDF4_CLASSIC</code> or <code>NETCDF3_64BIT</code>.</p></div>
+<code>NETCDF4_CLASSIC</code>, <code>NETCDF3_64BIT_OFFSET</code> or <code>NETCDF3_64BIT_DATA</code>.</p></div>
<div class="source_cont">
</div>
@@ -4867,10 +4893,10 @@ 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="c"># Get variables with x-axis attribute.</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables with matching "standard_name" attribute</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>
+<span class="o">>>></span> <span class="c1"># 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>
@@ -4878,11 +4904,11 @@ 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="c"># Get Axis variables</span>
+<div class="codehilite"><pre><span class="o">>>></span> <span class="c1"># 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="c"># Get variables that don't have an "axis" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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="c"># Get variables that have a "grid_mapping" attribute</span>
+<span class="o">>>></span> <span class="c1"># 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">
@@ -5291,12 +5317,12 @@ 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="c"># Read the two files in at once, in one Dataset.</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="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="c"># 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="c1"># 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>
@@ -6036,7 +6062,7 @@ each attribute</p></div>
<footer id="footer">
<p>
Documentation generated by
- <a href="https://github.com/BurntSushi/pdoc">pdoc 0.3.1</a>
+ <a href="https://github.com/BurntSushi/pdoc">pdoc 0.3.2.dev16</a>
</p>
<p>pdoc is in the public domain with the
diff --git a/include/constants.pyx b/include/constants.pyx
index 6f2da58..9731978 100644
--- a/include/constants.pyx
+++ b/include/constants.pyx
@@ -1,3 +1,4 @@
DEF HAS_RENAME_GRP = 0
DEF HAS_NC_INQ_PATH = 0
DEF HAS_NC_INQ_FORMAT_EXTENDED = 0
+DEF HAS_CDF5_FORMAT = 0
diff --git a/include/netCDF4.pxi b/include/netCDF4.pxi
index 533d424..dc3aa94 100644
--- a/include/netCDF4.pxi
+++ b/include/netCDF4.pxi
@@ -13,6 +13,14 @@ cdef extern from "H5public.h":
H5_VERS_MAJOR
H5_VERS_MINOR
H5_VERS_RELEASE
+
+# netcdf version info.
+#cdef extern from "netcdf_meta.h":
+# cdef char *NC_VERSION_NOTE
+# cdef enum:
+# NC_VERSION_MAJOR
+# NC_VERSION_MINOR
+# NC_VERSION_PATCH
cdef extern from *:
ctypedef char* const_char_ptr "const char*"
@@ -136,6 +144,8 @@ cdef extern from "netcdf.h":
# the nc_set_default_format function.
NC_FORMAT_CLASSIC
NC_FORMAT_64BIT
+ NC_FORMAT_64BIT_OFFSET
+ NC_FORMAT_64BIT_DATA
NC_FORMAT_NETCDF4
NC_FORMAT_NETCDF4_CLASSIC
NC_FORMAT_NC3
@@ -694,6 +704,7 @@ cdef extern from "netcdf.h":
void nc_set_log_level(int new_level)
int nc_show_metadata(int ncid)
int nc_free_vlen(nc_vlen_t *vl)
+ int nc_free_vlens(size_t len, nc_vlen_t *vl)
int nc_free_string(size_t len, char **data)
int nc_set_chunk_cache(size_t size, size_t nelems, float preemption)
int nc_get_chunk_cache(size_t *sizep, size_t *nelemsp, float *preemptionp)
diff --git a/netCDF4/_netCDF4.c b/netCDF4/_netCDF4.c
index 0e8180e..925c1fc 100644
--- a/netCDF4/_netCDF4.c
+++ b/netCDF4/_netCDF4.c
@@ -1,4 +1,4 @@
-/* Generated by Cython 0.23.2 */
+/* Generated by Cython 0.23.4 */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
@@ -7,7 +7,7 @@
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03020000)
#error Cython requires Python 2.6+ or Python 3.2+.
#else
-#define CYTHON_ABI "0_23_2"
+#define CYTHON_ABI "0_23_4"
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
@@ -189,7 +189,7 @@ typedef struct {
#define CYTHON_RESTRICT
#endif
#endif
-#define __Pyx_void_to_None(void_result) (void_result, Py_INCREF(Py_None), Py_None)
+#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifndef CYTHON_INLINE
#if defined(__GNUC__)
@@ -236,6 +236,7 @@ static CYTHON_INLINE float __PYX_NAN() {
#define __PYX_HAVE__netCDF4___netCDF4
#define __PYX_HAVE_API__netCDF4___netCDF4
+#include "string.h"
#include "stdlib.h"
#include "H5public.h"
#include "netcdf.h"
@@ -295,10 +296,10 @@ typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* encoding;
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
-#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
- #define __Pyx_sst_abs(value) llabs(value)
#elif defined (_MSC_VER) && defined (_M_X64)
#define __Pyx_sst_abs(value) _abs64(value)
+#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
+ #define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
@@ -460,6 +461,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Variable;
struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType;
struct __pyx_obj_7netCDF4_8_netCDF4_VLType;
struct __pyx_obj_7netCDF4_8_netCDF4_EnumType;
+struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr;
struct __pyx_opt_args_7netCDF4_8_netCDF4__set_att;
struct __pyx_opt_args_7netCDF4_8_netCDF4__read_compound;
struct __pyx_opt_args_7netCDF4_8_netCDF4__read_vlen;
@@ -468,7 +470,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__strencode;
struct __pyx_defaults;
typedef struct __pyx_defaults __pyx_defaults;
-/* "netCDF4/_netCDF4.pyx":1181
+/* "netCDF4/_netCDF4.pyx":1200
* return 'UNDEFINED'
*
* cdef _set_att(grp, int varid, name, value, nc_type xtype=-99): # <<<<<<<<<<<<<<
@@ -480,7 +482,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__set_att {
nc_type xtype;
};
-/* "netCDF4/_netCDF4.pyx":4472
+/* "netCDF4/_netCDF4.pyx":4568
* return xtype
*
* cdef _read_compound(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -492,7 +494,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_compound {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4629
+/* "netCDF4/_netCDF4.pyx":4737
* return xtype, dt
*
* cdef _read_vlen(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -504,7 +506,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_vlen {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4748
+/* "netCDF4/_netCDF4.pyx":4856
* return xtype, dt
*
* cdef _read_enum(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -516,7 +518,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_enum {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4784
+/* "netCDF4/_netCDF4.pyx":4892
* return EnumType(group, dt, name, enum_dict, typeid=xtype)
*
* cdef _strencode(pystr,encoding=None): # <<<<<<<<<<<<<<
@@ -531,7 +533,7 @@ struct __pyx_defaults {
PyObject *__pyx_arg_exclude;
};
-/* "netCDF4/_netCDF4.pyx":1497
+/* "netCDF4/_netCDF4.pyx":1539
* __pdoc__ = {}
*
* cdef class Dataset: # <<<<<<<<<<<<<<
@@ -559,7 +561,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dataset {
};
-/* "netCDF4/_netCDF4.pyx":2459
+/* "netCDF4/_netCDF4.pyx":2510
*
*
* cdef class Group(Dataset): # <<<<<<<<<<<<<<
@@ -571,7 +573,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Group {
};
-/* "netCDF4/_netCDF4.pyx":2554
+/* "netCDF4/_netCDF4.pyx":2605
*
*
* cdef class Dimension: # <<<<<<<<<<<<<<
@@ -588,7 +590,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dimension {
};
-/* "netCDF4/_netCDF4.pyx":2703
+/* "netCDF4/_netCDF4.pyx":2766
* return False
*
* cdef class Variable: # <<<<<<<<<<<<<<
@@ -617,7 +619,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Variable {
};
-/* "netCDF4/_netCDF4.pyx":4313
+/* "netCDF4/_netCDF4.pyx":4407
* # Compound datatype support.
*
* cdef class CompoundType: # <<<<<<<<<<<<<<
@@ -632,7 +634,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType {
};
-/* "netCDF4/_netCDF4.pyx":4543
+/* "netCDF4/_netCDF4.pyx":4652
* # VLEN datatype support.
*
* cdef class VLType: # <<<<<<<<<<<<<<
@@ -647,7 +649,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_VLType {
};
-/* "netCDF4/_netCDF4.pyx":4658
+/* "netCDF4/_netCDF4.pyx":4766
* # Enum datatype support.
*
* cdef class EnumType: # <<<<<<<<<<<<<<
@@ -663,6 +665,20 @@ struct __pyx_obj_7netCDF4_8_netCDF4_EnumType {
};
+/* "netCDF4/_netCDF4.pyx":1020
+ * _format_dict['NETCDF3_64BIT'] = NC_FORMAT_64BIT
+ * # invert dictionary mapping
+ * _reverse_format_dict = dict((v, k) for k, v in _format_dict.iteritems()) # <<<<<<<<<<<<<<
+ * # add duplicate entry (NETCDF3_64BIT == NETCDF3_64BIT_OFFSET)
+ * IF HAS_CDF5_FORMAT:
+ */
+struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr {
+ PyObject_HEAD
+ PyObject *__pyx_v_k;
+ PyObject *__pyx_v_v;
+};
+
+
/* --- Runtime support code (head) --- */
#ifndef CYTHON_REFNANNY
#define CYTHON_REFNANNY 0
@@ -743,12 +759,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
-#include <string.h>
-
-static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
- const char* cstring, Py_ssize_t start, Py_ssize_t stop,
- const char* encoding, const char* errors,
- PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
+static CYTHON_INLINE int __Pyx_IterFinish(void);
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
@@ -756,6 +767,47 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
+#endif
+
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
+#else
+#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
+#endif
+
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
+
+static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name);
+
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
+
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
+
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
+
+static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
+
+static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index);
+
+static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** value1, PyObject** value2,
+ int is_tuple, int has_known_size, int decref_tuple);
+
+static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name,
+ Py_ssize_t* p_orig_length, int* p_is_dict);
+static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos,
+ PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict);
+
+static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
+
+#include <string.h>
+
+static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
+ const char* cstring, Py_ssize_t start, Py_ssize_t stop,
+ const char* encoding, const char* errors,
+ PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
+
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
@@ -777,8 +829,6 @@ static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
-static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
-
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
@@ -791,18 +841,6 @@ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
-#endif
-
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
-
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
-#else
-#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
-#endif
-
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
@@ -838,16 +876,16 @@ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
-static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
- PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
- PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
- int has_cstart, int has_cstop, int wraparound);
-
static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) {
int result = PySequence_Contains(seq, item);
return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
}
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
+ PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
+ PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
+ int has_cstart, int has_cstop, int wraparound);
+
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyString_Join __Pyx_PyBytes_Join
#define __Pyx_PyBaseString_Join(s, v) (PyUnicode_CheckExact(s) ? PyUnicode_Join(s, v) : __Pyx_PyBytes_Join(s, v))
@@ -865,14 +903,6 @@ static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* s
static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values);
#endif
-static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
-
-static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
-
-static CYTHON_INLINE int __Pyx_IterFinish(void);
-
-static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
-
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
@@ -948,6 +978,8 @@ static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#endif
+static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
+
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o,n,NULL)
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
@@ -1000,8 +1032,6 @@ static double __Pyx__PyObject_AsDouble(PyObject* obj);
PyFloat_AS_DOUBLE(obj) : __Pyx__PyObject_AsDouble(obj))
#endif
-static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
-
#define __Pyx_PyObject_DelSlice(obj, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound)\
__Pyx_PyObject_SetSlice(obj, (PyObject*)NULL, cstart, cstop, py_start, py_stop, py_slice, has_cstart, has_cstop, wraparound)
static CYTHON_INLINE int __Pyx_PyObject_SetSlice(
@@ -1157,6 +1187,45 @@ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_char(char value);
+static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
+
+typedef PyObject *(*__pyx_coroutine_body_t)(PyObject *, PyObject *);
+typedef struct {
+ PyObject_HEAD
+ __pyx_coroutine_body_t body;
+ PyObject *closure;
+ PyObject *exc_type;
+ PyObject *exc_value;
+ PyObject *exc_traceback;
+ PyObject *gi_weakreflist;
+ PyObject *classobj;
+ PyObject *yieldfrom;
+ PyObject *gi_name;
+ PyObject *gi_qualname;
+ int resume_label;
+ char is_running;
+} __pyx_CoroutineObject;
+static __pyx_CoroutineObject *__Pyx__Coroutine_New(PyTypeObject *type, __pyx_coroutine_body_t body,
+ PyObject *closure, PyObject *name, PyObject *qualname);
+static int __Pyx_Coroutine_clear(PyObject *self);
+#if 1 || PY_VERSION_HEX < 0x030300B0
+static int __Pyx_PyGen_FetchStopIterationValue(PyObject **pvalue);
+#else
+#define __Pyx_PyGen_FetchStopIterationValue(pvalue) PyGen_FetchStopIterationValue(pvalue)
+#endif
+
+static PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code);
+
+static int __Pyx_patch_abc(void);
+
+#define __Pyx_Generator_USED
+static PyTypeObject *__pyx_GeneratorType = 0;
+#define __Pyx_Generator_CheckExact(obj) (Py_TYPE(obj) == __pyx_GeneratorType)
+#define __Pyx_Generator_New(body, closure, name, qualname)\
+ __Pyx__Coroutine_New(__pyx_GeneratorType, body, closure, name, qualname)
+static PyObject *__Pyx_Generator_Next(PyObject *self);
+static int __pyx_Generator_init(void);
+
static int __Pyx_check_binary_version(void);
#if !defined(__Pyx_PyIdentifier_FromString)
@@ -1174,6 +1243,8 @@ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
+/* Module declarations from 'libc.string' */
+
/* Module declarations from 'numpy' */
/* Module declarations from 'netCDF4._netCDF4' */
@@ -1185,6 +1256,7 @@ static PyTypeObject *__pyx_ptype_7netCDF4_8_netCDF4_Variable = 0;
static PyTypeObject *__pyx_ptype_7netCDF4_8_netCDF4_CompoundType = 0;
static PyTypeObject *__pyx_ptype_7netCDF4_8_netCDF4_VLType = 0;
static PyTypeObject *__pyx_ptype_7netCDF4_8_netCDF4_EnumType = 0;
+static PyTypeObject *__pyx_ptype_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr = 0;
static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int, int); /*proto*/
static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *, int, PyObject *); /*proto*/
static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_format(int); /*proto*/
@@ -1242,7 +1314,6 @@ static char __pyx_k_w[] = "w";
static char __pyx_k_0m[] = "\033[0m";
static char __pyx_k_4m[] = " \033[4m";
static char __pyx_k_S1[] = "S1";
-static char __pyx_k_U1[] = "U1";
static char __pyx_k__2[] = "";
static char __pyx_k_as[] = "as";
static char __pyx_k_bs[] = "bs";
@@ -1265,17 +1336,17 @@ static char __pyx_k_u2[] = "u2";
static char __pyx_k_u4[] = "u4";
static char __pyx_k_u8[] = "u8";
static char __pyx_k_ws[] = "ws";
-static char __pyx_k__12[] = "<";
-static char __pyx_k__13[] = ">";
-static char __pyx_k__14[] = "/";
-static char __pyx_k__17[] = "'";
-static char __pyx_k__19[] = ", ";
-static char __pyx_k__20[] = ",";
-static char __pyx_k__22[] = ",)";
-static char __pyx_k__23[] = ")";
-static char __pyx_k__26[] = "__";
-static char __pyx_k__33[] = "=";
-static char __pyx_k__34[] = "|";
+static char __pyx_k__14[] = "<";
+static char __pyx_k__15[] = ">";
+static char __pyx_k__16[] = "/";
+static char __pyx_k__19[] = "'";
+static char __pyx_k__21[] = ", ";
+static char __pyx_k__22[] = ",";
+static char __pyx_k__24[] = ",)";
+static char __pyx_k__25[] = ")";
+static char __pyx_k__28[] = "__";
+static char __pyx_k__36[] = "=";
+static char __pyx_k__37[] = "|";
static char __pyx_k_all[] = "all";
static char __pyx_k_any[] = "any";
static char __pyx_k_arr[] = "arr";
@@ -1311,7 +1382,8 @@ 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__125[] = ".";
+static char __pyx_k__128[] = ".";
+static char __pyx_k_args[] = "args";
static char __pyx_k_bool[] = "bool";
static char __pyx_k_cdfm[] = "cdfm";
static char __pyx_k_char[] = "char";
@@ -1353,6 +1425,7 @@ static char __pyx_k_prod[] = "prod";
static char __pyx_k_repr[] = "__repr__";
static char __pyx_k_secs[] = "secs";
static char __pyx_k_self[] = "self";
+static char __pyx_k_send[] = "send";
static char __pyx_k_size[] = "size";
static char __pyx_k_slen[] = "slen";
static char __pyx_k_step[] = "step";
@@ -1370,8 +1443,9 @@ 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_1[] = "1.2.1";
+static char __pyx_k_1_2_2[] = "1.2.2";
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_attrs[] = "attrs";
@@ -1410,6 +1484,7 @@ static char __pyx_k_since[] = "since";
static char __pyx_k_split[] = "split";
static char __pyx_k_start[] = "start";
static char __pyx_k_strip[] = "strip";
+static char __pyx_k_throw[] = "throw";
static char __pyx_k_times[] = "times";
static char __pyx_k_tostr[] = "_tostr";
static char __pyx_k_tsecs[] = "tsecs";
@@ -1449,6 +1524,7 @@ static char __pyx_k_module[] = "__module__";
static char __pyx_k_msecsd[] = "msecsd";
static char __pyx_k_name_2[] = "_name";
static char __pyx_k_native[] = "native";
+static char __pyx_k_nbytes[] = "nbytes";
static char __pyx_k_ncdump[] = "ncdump";
static char __pyx_k_nctime[] = "nctime";
static char __pyx_k_nelems[] = "nelems";
@@ -1485,6 +1561,7 @@ static char __pyx_k_extType[] = "extType";
static char __pyx_k_files_2[] = "_files";
static char __pyx_k_flatten[] = "flatten";
static char __pyx_k_formats[] = "formats";
+static char __pyx_k_genexpr[] = "genexpr";
static char __pyx_k_getattr[] = "__getattr__";
static char __pyx_k_getdims[] = "_getdims";
static char __pyx_k_getitem[] = "__getitem__";
@@ -1538,6 +1615,7 @@ static char __pyx_k_filename[] = "filename";
static char __pyx_k_find_dim[] = "_find_dim";
static char __pyx_k_groups_s[] = " groups: %s\n";
static char __pyx_k_grpnames[] = "grpnames";
+static char __pyx_k_has_cdf5[] = "__has_cdf5__";
static char __pyx_k_hr_units[] = "hr_units";
static char __pyx_k_ismasked[] = "ismasked";
static char __pyx_k_isscalar[] = "isscalar";
@@ -1574,6 +1652,7 @@ static char __pyx_k_enumtypes[] = "enumtypes";
static char __pyx_k_getncattr[] = "getncattr";
static char __pyx_k_gregorian[] = "gregorian";
static char __pyx_k_isostring[] = "isostring";
+static char __pyx_k_iteritems[] = "iteritems";
static char __pyx_k_itertools[] = "itertools";
static char __pyx_k_majorvers[] = "majorvers";
static char __pyx_k_mastervar[] = "_mastervar";
@@ -1632,9 +1711,11 @@ static char __pyx_k_chunk_cache[] = "chunk_cache";
static char __pyx_k_collections[] = "collections";
static char __pyx_k_concatenate[] = "concatenate";
static char __pyx_k_createGroup[] = "createGroup";
+static char __pyx_k_development[] = "-development";
static char __pyx_k_disk_format[] = "disk_format";
static char __pyx_k_file_format[] = "file_format";
static char __pyx_k_filling_off[] = "filling off\n";
+static char __pyx_k_format_dict[] = "_format_dict";
static char __pyx_k_isprimitive[] = "_isprimitive";
static char __pyx_k_isunlimited[] = "isunlimited";
static char __pyx_k_keepweakref[] = "keepweakref";
@@ -1748,12 +1829,15 @@ static char __pyx_k_Variable_dimensions[] = "Variable.dimensions";
static char __pyx_k_get_var_chunk_cache[] = "get_var_chunk_cache";
static char __pyx_k_orthogoral_indexing[] = "__orthogoral_indexing__";
static char __pyx_k_proleptic_gregorian[] = "proleptic_gregorian";
+static char __pyx_k_reverse_format_dict[] = "_reverse_format_dict";
+static char __pyx_k_NETCDF3_64BIT_OFFSET[] = "NETCDF3_64BIT_OFFSET";
static char __pyx_k_compound_data_type_s[] = "compound data type: %s\n";
static char __pyx_k_name_s_numpy_dtype_s[] = ": name = '%s', numpy dtype = %s\n";
static char __pyx_k_Dimension_isunlimited[] = "_Dimension.isunlimited";
static char __pyx_k_len_of_unsized_object[] = "len() of unsized object";
static char __pyx_k_set_auto_maskandscale[] = "set_auto_maskandscale";
static char __pyx_k_name_cannot_be_altered[] = "name cannot be altered";
+static char __pyx_k_size_cannot_be_altered[] = "size cannot be altered";
static char __pyx_k_unlimited_dimensions_s[] = "unlimited dimensions: %s\n";
static char __pyx_k_unsupported_time_units[] = "unsupported time units";
static char __pyx_k_variables_dimensions_s[] = " variables(dimensions): %s\n";
@@ -1762,6 +1846,7 @@ static char __pyx_k_no_since_in_unit_string[] = "no 'since' in unit_string";
static char __pyx_k_shape_cannot_be_altered[] = "shape cannot be altered";
static char __pyx_k_unlimited_name_s_size_s[] = " (unlimited): name = '%s', size = %s\n";
static char __pyx_k_MFDataset___getattribute[] = "MFDataset.__getattribute__";
+static char __pyx_k_needsworkaround_issue485[] = "_needsworkaround_issue485";
static char __pyx_k_unlimited_dimensions_s_2[] = "unlimited dimensions = %s\n";
static char __pyx_k_has_nc_inq_format_extended[] = "__has_nc_inq_format_extended__";
static char __pyx_k_s_not_a_valid_variable_name[] = "%s not a valid variable name";
@@ -1770,6 +1855,7 @@ static char __pyx_k_s_not_a_valid_dimension_name[] = "%s not a valid dimension n
static char __pyx_k_The_number_of_stored_elements[] = "The number of stored elements.";
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_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.";
@@ -1779,21 +1865,22 @@ static char __pyx_k_A_numpy_dtype_object_describing[] = "A numpy dtype object de
static char __pyx_k_A_string_describing_the_name_of[] = "A string describing the name of the `netCDF4.Group`.";
static char __pyx_k_A_tuple_containing_the_names_of[] = "A tuple containing the names of the\n dimensions associated with this variable.";
static char __pyx_k_Always_True_Indicates_to_client[] = "Always `True`. Indicates to client code\n that the object supports 'orthogonal indexing', which means that slices\n that are 1d arrays or lists slice along each dimension independently. This\n behavior is similar to Fortran or Matlab, but different than numpy.";
-static char __pyx_k_Class_for_reading_multi_file_ne[] = "\nClass for reading multi-file netCDF Datasets, making variables\nspanning multiple files appear as if they were in one file.\nDatasets must be in `NETCDF4_CLASSIC, NETCDF3_CLASSIC or NETCDF3_64BIT`\nformat (`NETCDF4` Datasets won't work).\n\nAdapted from [pycdf](http://pysclint.sourceforge.net/pycdf) by Andre Gosselin.\n\nExample usage (See `netCDF4.MFDataset.__init__` for more details):\n\n :::python\n >>> import numpy\n [...]
+static char __pyx_k_Class_for_reading_multi_file_ne[] = "\nClass for reading multi-file netCDF Datasets, making variables\nspanning multiple files appear as if they were in one file.\nDatasets must be in `NETCDF4_CLASSIC, NETCDF3_CLASSIC, NETCDF3_64BIT_OFFSET\nor NETCDF3_64BIT_DATA` format (`NETCDF4` Datasets won't work).\n\nAdapted from [pycdf](http://pysclint.sourceforge.net/pycdf) by Andre Gosselin.\n\nExample usage (See `netCDF4.MFDataset.__init__` for more details):\n\n :::python [...]
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_1_Introduction_netc[] = "\nVersion 1.2.1\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_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_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";
-static char __pyx_k_data_model_describes_the_netCDF[] = "`data_model` describes the netCDF\n data model version, one of `NETCDF3_CLASSIC`, `NETCDF4`,\n `NETCDF4_CLASSIC` or `NETCDF3_64BIT`.";
+static char __pyx_k_current_size_of_Dimension_calls[] = "current size of Dimension (calls `len` on Dimension instance)";
+static char __pyx_k_data_model_describes_the_netCDF[] = "`data_model` describes the netCDF\n data model version, one of `NETCDF3_CLASSIC`, `NETCDF4`,\n `NETCDF4_CLASSIC`, `NETCDF3_64BIT_OFFSET` or `NETCDF3_64BIT_DATA`.";
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_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 >>> nc.get_variabl [...]
+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";
static char __pyx_k_name_s_numpy_dtype_s_fields_val[] = ": name = '%s', numpy dtype = %s, fields/values =%s\n";
@@ -1809,12 +1896,12 @@ static char __pyx_k_zero_not_allowed_as_a_reference[] = "zero not allowed as a r
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 2409)";
+static char __pyx_k_Dataset_get_variables_by_attribu[] = "Dataset.get_variables_by_attributes (line 2460)";
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.";
static char __pyx_k_If_True_data_is_automatically_co[] = "If True, data is automatically converted to/from masked \n arrays when missing values or fill values are present. Default is `True`, can be\n reset using `netCDF4.Variable.set_auto_mask` and `netCDF4.Variable.set_auto_maskandscale`\n methods.";
-static char __pyx_k_MFNetCDF4_only_works_with_NETCDF[] = "MFNetCDF4 only works with NETCDF3_CLASSIC, NETCDF3_64BIT and NETCDF4_CLASSIC formatted files, not NETCDF4";
+static char __pyx_k_MFNetCDF4_only_works_with_NETCDF[] = "MFNetCDF4 only works with NETCDF3_* and NETCDF4_CLASSIC formatted files, not NETCDF4";
static char __pyx_k_MFTime_requires_that_the_same_ti[] = "MFTime requires that the same time calendar is used by all files.";
static char __pyx_k_MFTime_requires_that_the_time_va[] = "MFTime requires that the time variable in all files have a calendar attribute";
static char __pyx_k_Return_the_number_of_stored_elem[] = "Return the number of stored elements.";
@@ -1838,6 +1925,7 @@ static char __pyx_k_cannot_close_a_netCDF4_Group_onl[] = "cannot close a `netCDF
static char __pyx_k_cannot_find_compound_type_in_thi[] = "cannot find compound type in this group or parent groups";
static char __pyx_k_cannot_use_utc_offset_for_refere[] = "cannot use utc_offset for reference years <= 0";
static char __pyx_k_cannot_using_file_globbing_for_r[] = "cannot using file globbing for remote (OPeNDAP) datasets";
+static char __pyx_k_chunksize_cannot_exceed_dimensio[] = "chunksize cannot exceed dimension size";
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)";
@@ -1847,7 +1935,7 @@ static char __pyx_k_diskless_mode_requires_netcdf_li[] = "diskless mode requires
static char __pyx_k_dtype_must_string_or_unicode_S_o[] = "dtype must string or unicode ('S' or 'U')";
static char __pyx_k_filling_on_default__FillValue_of[] = "filling on, default _FillValue of %s ignored\n";
static char __pyx_k_find_current_sizes_of_all_variab[] = "find current sizes of all variable dimensions";
-static char __pyx_k_format_must_be_NETCDF4_NETCDF4_C[] = "format must be 'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT', or 'NETCDF3_CLASSIC', got '%s'";
+static char __pyx_k_format_not_supported_by_python_i[] = "format not supported by python interface";
static char __pyx_k_if_True_scale_factor_and_add_off[] = "if True, `scale_factor` and `add_offset` are\n applied. Default is `True`, can be reset using `netCDF4.Variable.set_auto_scale` and\n `netCDF4.Variable.set_auto_maskandscale` methods.";
static char __pyx_k_illegal_primitive_data_type_must[] = "illegal primitive data type, must be one of %s, got %s";
static char __pyx_k_invalid_scale_factor_or_add_offs[] = "invalid scale_factor or add_offset attribute, no unpacking done...";
@@ -1890,8 +1978,9 @@ 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_1;
+static PyObject *__pyx_kp_s_1_2_2;
static PyObject *__pyx_kp_s_4_2_1;
+static PyObject *__pyx_kp_s_4_4_0;
static PyObject *__pyx_kp_s_4m;
static PyObject *__pyx_kp_s_A_numpy_dtype_object_describing;
static PyObject *__pyx_kp_s_A_numpy_dtype_object_describing_2;
@@ -1963,6 +2052,7 @@ static PyObject *__pyx_n_s_MINYEAR;
static PyObject *__pyx_n_s_NC_DISKLESS;
static PyObject *__pyx_n_s_NETCDF3;
static PyObject *__pyx_n_s_NETCDF3_64BIT;
+static PyObject *__pyx_n_s_NETCDF3_64BIT_OFFSET;
static PyObject *__pyx_n_s_NETCDF3_CLASSIC;
static PyObject *__pyx_n_s_NETCDF4;
static PyObject *__pyx_n_s_NETCDF4_CLASSIC;
@@ -1984,7 +2074,6 @@ static PyObject *__pyx_kp_s_The_variables_dictionary_maps_th;
static PyObject *__pyx_kp_s_The_vltypes_dictionary_maps_the;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_n_s_U;
-static PyObject *__pyx_n_s_U1;
static PyObject *__pyx_n_s_UNDEFINED;
static PyObject *__pyx_n_s_UnicodeDecodeError;
static PyObject *__pyx_kp_s_Unsupported_compound_type_elemen;
@@ -2023,19 +2112,19 @@ 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__12;
-static PyObject *__pyx_kp_s__125;
-static PyObject *__pyx_kp_s__13;
+static PyObject *__pyx_kp_s__128;
static PyObject *__pyx_kp_s__14;
-static PyObject *__pyx_kp_s__17;
+static PyObject *__pyx_kp_s__15;
+static PyObject *__pyx_kp_s__16;
static PyObject *__pyx_kp_s__19;
static PyObject *__pyx_kp_s__2;
-static PyObject *__pyx_kp_s__20;
+static PyObject *__pyx_kp_s__21;
static PyObject *__pyx_kp_s__22;
-static PyObject *__pyx_kp_s__23;
-static PyObject *__pyx_n_s__26;
-static PyObject *__pyx_kp_s__33;
-static PyObject *__pyx_kp_s__34;
+static PyObject *__pyx_kp_s__24;
+static PyObject *__pyx_kp_s__25;
+static PyObject *__pyx_n_s__28;
+static PyObject *__pyx_kp_s__36;
+static PyObject *__pyx_kp_s__37;
static PyObject *__pyx_n_s_a;
static PyObject *__pyx_n_s_add_offset;
static PyObject *__pyx_n_s_aggDimId;
@@ -2046,6 +2135,7 @@ static PyObject *__pyx_n_s_align;
static PyObject *__pyx_n_s_all;
static PyObject *__pyx_n_s_any;
static PyObject *__pyx_n_s_append;
+static PyObject *__pyx_n_s_args;
static PyObject *__pyx_n_s_around;
static PyObject *__pyx_n_s_arr;
static PyObject *__pyx_n_s_array;
@@ -2085,6 +2175,7 @@ static PyObject *__pyx_n_s_char;
static PyObject *__pyx_n_s_chartostring;
static PyObject *__pyx_n_s_check;
static PyObject *__pyx_n_s_chunk_cache;
+static PyObject *__pyx_kp_s_chunksize_cannot_exceed_dimensio;
static PyObject *__pyx_n_s_chunksizes;
static PyObject *__pyx_kp_s_chunksizes_must_be_a_sequence_wi;
static PyObject *__pyx_n_s_clobber;
@@ -2130,6 +2221,7 @@ static PyObject *__pyx_n_s_decode;
static PyObject *__pyx_n_s_default_encoding;
static PyObject *__pyx_n_s_default_fillvals;
static PyObject *__pyx_n_s_delncattr;
+static PyObject *__pyx_kp_s_development;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dim;
static PyObject *__pyx_kp_s_dimension_s_not_defined_in_group;
@@ -2200,8 +2292,10 @@ static PyObject *__pyx_n_s_flatten;
static PyObject *__pyx_n_s_fletcher32;
static PyObject *__pyx_n_s_float;
static PyObject *__pyx_n_s_format;
-static PyObject *__pyx_kp_s_format_must_be_NETCDF4_NETCDF4_C;
+static PyObject *__pyx_n_s_format_dict;
+static PyObject *__pyx_kp_s_format_not_supported_by_python_i;
static PyObject *__pyx_n_s_formats;
+static PyObject *__pyx_n_s_genexpr;
static PyObject *__pyx_n_s_get;
static PyObject *__pyx_n_s_get_var_chunk_cache;
static PyObject *__pyx_kp_u_get_variables_by_attribute_self;
@@ -2224,6 +2318,7 @@ static PyObject *__pyx_n_s_grp_2;
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_nc_inq_format_extended;
static PyObject *__pyx_n_s_has_nc_inq_path;
static PyObject *__pyx_n_s_has_rename_grp;
@@ -2263,6 +2358,7 @@ static PyObject *__pyx_n_s_isvlen;
static PyObject *__pyx_n_s_item;
static PyObject *__pyx_n_s_items;
static PyObject *__pyx_n_s_itemsize;
+static PyObject *__pyx_n_s_iteritems;
static PyObject *__pyx_n_s_itertools;
static PyObject *__pyx_n_s_iu;
static PyObject *__pyx_n_s_izip;
@@ -2319,6 +2415,7 @@ static PyObject *__pyx_kp_s_name_s_numpy_dtype_s_fields_val;
static PyObject *__pyx_kp_s_name_s_size_s;
static PyObject *__pyx_n_s_names;
static PyObject *__pyx_n_s_native;
+static PyObject *__pyx_n_s_nbytes;
static PyObject *__pyx_n_s_nc_type;
static PyObject *__pyx_n_s_ncattrs;
static PyObject *__pyx_n_s_ncdump;
@@ -2326,6 +2423,7 @@ static PyObject *__pyx_n_s_ncdump_var;
static PyObject *__pyx_n_s_nctime;
static PyObject *__pyx_n_s_nctonptype;
static PyObject *__pyx_n_s_ndim;
+static PyObject *__pyx_n_s_needsworkaround_issue485;
static PyObject *__pyx_kp_s_negative_reference_year_in_time;
static PyObject *__pyx_kp_s_negative_strides_not_allowed_whe;
static PyObject *__pyx_n_s_nelems;
@@ -2400,6 +2498,7 @@ 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;
static PyObject *__pyx_n_s_round;
static PyObject *__pyx_kp_s_s;
@@ -2421,6 +2520,7 @@ static PyObject *__pyx_n_s_seconds;
static PyObject *__pyx_n_s_secs;
static PyObject *__pyx_n_s_select;
static PyObject *__pyx_n_s_self;
+static PyObject *__pyx_n_s_send;
static PyObject *__pyx_n_s_set_auto_mask;
static PyObject *__pyx_n_s_set_auto_maskandscale;
static PyObject *__pyx_n_s_set_auto_scale;
@@ -2434,6 +2534,7 @@ 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;
static PyObject *__pyx_n_s_slen;
static PyObject *__pyx_n_s_sortbylist;
@@ -2463,6 +2564,7 @@ static PyObject *__pyx_n_s_sys;
static PyObject *__pyx_n_s_t;
static PyObject *__pyx_n_s_td;
static PyObject *__pyx_n_s_test;
+static PyObject *__pyx_n_s_throw;
static PyObject *__pyx_n_s_tile;
static PyObject *__pyx_n_s_time;
static PyObject *__pyx_n_s_time2index;
@@ -2496,6 +2598,7 @@ static PyObject *__pyx_n_s_unlimdims;
static PyObject *__pyx_kp_s_unlimited_dimensions_s;
static PyObject *__pyx_kp_s_unlimited_dimensions_s_2;
static PyObject *__pyx_kp_s_unlimited_name_s_size_s;
+static PyObject *__pyx_kp_s_unrecognized_format_requested;
static PyObject *__pyx_kp_s_unsupported_component_type_for_V;
static PyObject *__pyx_kp_s_unsupported_datatype_specified_f;
static PyObject *__pyx_kp_s_unsupported_datatype_specified_f_2;
@@ -2546,6 +2649,7 @@ 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__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 */
@@ -2638,6 +2742,8 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_2_getname(struct __pyx_obj_7netCDF4_8_netCDF4_Dimension *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_4name___get__(struct __pyx_obj_7netCDF4_8_netCDF4_Dimension *__pyx_v_self); /* proto */
static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension_4name_2__set__(CYTHON_UNUSED struct __pyx_obj_7netCDF4_8_netCDF4_Dimension *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_value); /* proto */
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goto __pyx_L0;
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return __pyx_r;
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return __pyx_r;
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -3607,15 +3831,15 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
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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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goto __pyx_L0;
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__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1096
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#endif
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if (__pyx_t_4) {
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__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;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1071; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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case NC_CHAR:
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#endif
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+ /* "netCDF4/_netCDF4.pyx":1105
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+ /* "netCDF4/_netCDF4.pyx":1108
* ierr = nc_get_att_text(_grpid, varid, attname, <char *>value_arr.data)
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__Pyx_GIVEREF(((PyObject *)__pyx_v_value_arr));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_value_arr));
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+ /* "netCDF4/_netCDF4.pyx":1109
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goto __pyx_L11;
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- /* "netCDF4/_netCDF4.pyx":1085
+ /* "netCDF4/_netCDF4.pyx":1115
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@@ -4058,7 +4282,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
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__Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_7); __pyx_t_7 = NULL;
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+ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_replace); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1115; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_9);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1115; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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@@ -4084,7 +4308,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
}
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__pyx_r = __pyx_v_pstring;
goto __pyx_L0;
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break;
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*/
case NC_STRING:
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if (__pyx_t_4) {
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#endif
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* pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
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}
}
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* return pstring
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*/
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+ __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_decode); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1121; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+ __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1121; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_8 = 1;
}
}
- __pyx_t_7 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_7 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1121; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
@@ -4205,22 +4429,31 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_8, __pyx_t_5);
__pyx_t_9 = 0;
__pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
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+ __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_replace); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1121; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__pyx_v_pstring = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1122
* ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
* pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
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+ * else:
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+
+ /* "netCDF4/_netCDF4.pyx":1123
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__pyx_r = __pyx_v_pstring;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":1118
* return pstring
* elif att_type == NC_STRING:
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*/
}
- /* "netCDF4/_netCDF4.pyx":1094
+ /* "netCDF4/_netCDF4.pyx":1125
* return pstring
* else:
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*/
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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 = 1125; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_Raise(__pyx_t_6, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1094; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
- /* "netCDF4/_netCDF4.pyx":1087
+ /* "netCDF4/_netCDF4.pyx":1117
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break;
default:
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+ /* "netCDF4/_netCDF4.pyx":1128
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__pyx_t_4 = ((__pyx_v_att_type == NC_LONG) != 0);
if (__pyx_t_4) {
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+ /* "netCDF4/_netCDF4.pyx":1129
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*/
__pyx_v_att_type = NC_INT;
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+ /* "netCDF4/_netCDF4.pyx":1128
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*/
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- /* "netCDF4/_netCDF4.pyx":1099
+ /* "netCDF4/_netCDF4.pyx":1130
* if att_type == NC_LONG:
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+ /* "netCDF4/_netCDF4.pyx":1131
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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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/*try:*/ {
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__Pyx_XDECREF_SET(__pyx_v_type_att, __pyx_t_6);
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__Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_GOTREF(__pyx_t_23);
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- }
- __pyx_L3:;
+ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_format_dict); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_t_1);
+ __pyx_t_4 = PyObject_GetItem(__pyx_t_1, __pyx_v_format); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1162; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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+ __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- /* "netCDF4/_netCDF4.pyx":1127
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*
* def _set_default_format(object format='NETCDF4'): # <<<<<<<<<<<<<<
* # Private function to set the netCDF file format
- * if format == 'NETCDF4':
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*/
/* function exit code */
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
- __Pyx_XDECREF(__pyx_t_2);
- __Pyx_XDECREF(__pyx_t_3);
+ __Pyx_XDECREF(__pyx_t_1);
+ __Pyx_XDECREF(__pyx_t_4);
__Pyx_AddTraceback("netCDF4._netCDF4._set_default_format", __pyx_clineno, __pyx_lineno, __pyx_filename);
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return __pyx_r;
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char *__pyx_t_2;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
+ int __pyx_t_5;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1144
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}
- /* "netCDF4/_netCDF4.pyx":1143
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if (__pyx_t_1) {
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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 = 1146; __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 = 1170; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1169
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
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*/
}
- /* "netCDF4/_netCDF4.pyx":1147
+ /* "netCDF4/_netCDF4.pyx":1171
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_reverse_format_dict); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1171; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_t_4);
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+ __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- __Pyx_INCREF(__pyx_n_s_NETCDF4);
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+ __Pyx_Raise(__pyx_t_4, 0, 0, 0);
+ __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- /* "netCDF4/_netCDF4.pyx":1147
+ /* "netCDF4/_netCDF4.pyx":1171
* if ierr != NC_NOERR:
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- * if formatp == NC_FORMAT_NETCDF4: # <<<<<<<<<<<<<<
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- /* "netCDF4/_netCDF4.pyx":1149
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- case NC_FORMAT_CLASSIC:
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/* function exit code */
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__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_4);
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return __pyx_r;
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int __pyx_v_ierr;
int __pyx_v_lenarr;
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char *__pyx_v_attname;
char *__pyx_v_datstring;
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- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
* if ierr != NC_NOERR:
*/
{
@@ -6326,21 +6524,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1243
+ /* "netCDF4/_netCDF4.pyx":1275
* # get the number of user defined types in this group.
* with nogil:
- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids) # <<<<<<<<<<<<<<
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL) # <<<<<<<<<<<<<<
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
*/
- __pyx_v_ierr = nc_inq_typeids(__pyx_v__grpid, (&__pyx_v_ntypes), __pyx_v_typeids);
+ __pyx_v_ierr = nc_inq_typeids(__pyx_v__grpid, (&__pyx_v_ntypes), NULL);
}
- /* "netCDF4/_netCDF4.pyx":1242
+ /* "netCDF4/_netCDF4.pyx":1274
* _grpid = group._grpid
* # get the number of user defined types in this group.
* with nogil: # <<<<<<<<<<<<<<
- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
* if ierr != NC_NOERR:
*/
/*finally:*/ {
@@ -6354,56 +6552,168 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
}
}
- /* "netCDF4/_netCDF4.pyx":1244
+ /* "netCDF4/_netCDF4.pyx":1276
* with nogil:
- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- * # create empty dictionary for CompoundType instances.
+ * if ntypes > 0:
*/
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1245
- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ /* "netCDF4/_netCDF4.pyx":1277
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
- * # create empty dictionary for CompoundType instances.
- * cmptypes = OrderedDict()
+ * if ntypes > 0:
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
*/
__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 = 1245; __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 = 1277; __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 = 1277; __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;
- __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 = 1245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 1277; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__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 = 1245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1277; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1244
+ /* "netCDF4/_netCDF4.pyx":1276
* with nogil:
- * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- * # create empty dictionary for CompoundType instances.
+ * if ntypes > 0:
*/
}
- /* "netCDF4/_netCDF4.pyx":1247
+ /* "netCDF4/_netCDF4.pyx":1278
+ * if ierr != NC_NOERR:
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ * if ntypes > 0: # <<<<<<<<<<<<<<
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ * with nogil:
+ */
+ __pyx_t_3 = ((__pyx_v_ntypes > 0) != 0);
+ if (__pyx_t_3) {
+
+ /* "netCDF4/_netCDF4.pyx":1279
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ * if ntypes > 0:
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes) # <<<<<<<<<<<<<<
+ * with nogil:
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ */
+ __pyx_v_typeids = ((nc_type *)malloc(((sizeof(nc_type)) * __pyx_v_ntypes)));
+
+ /* "netCDF4/_netCDF4.pyx":1280
+ * if ntypes > 0:
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * if ierr != NC_NOERR:
+ */
+ {
+ #ifdef WITH_THREAD
+ PyThreadState *_save;
+ Py_UNBLOCK_THREADS
+ #endif
+ /*try:*/ {
+
+ /* "netCDF4/_netCDF4.pyx":1281
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ * with nogil:
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids) # <<<<<<<<<<<<<<
+ * if ierr != NC_NOERR:
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ */
+ __pyx_v_ierr = nc_inq_typeids(__pyx_v__grpid, (&__pyx_v_ntypes), __pyx_v_typeids);
+ }
+
+ /* "netCDF4/_netCDF4.pyx":1280
+ * if ntypes > 0:
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ * with nogil: # <<<<<<<<<<<<<<
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * if ierr != NC_NOERR:
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+ #ifdef WITH_THREAD
+ Py_BLOCK_THREADS
+ #endif
+ goto __pyx_L10;
+ }
+ __pyx_L10:;
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+ /* "netCDF4/_netCDF4.pyx":1282
+ * with nogil:
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * if ierr != NC_NOERR: # <<<<<<<<<<<<<<
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ * # create empty dictionary for CompoundType instances.
+ */
+ __pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
+ if (__pyx_t_3) {
+
+ /* "netCDF4/_netCDF4.pyx":1283
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * if ierr != NC_NOERR:
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
+ * # create empty dictionary for CompoundType instances.
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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 = 1283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_t_1);
+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __Pyx_GIVEREF(__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 = 1283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_t_1);
+ __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+
+ /* "netCDF4/_netCDF4.pyx":1282
+ * with nogil:
+ * ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ * if ierr != NC_NOERR: # <<<<<<<<<<<<<<
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+ /* "netCDF4/_netCDF4.pyx":1278
+ * if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ * if ntypes > 0: # <<<<<<<<<<<<<<
+ * typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ * with nogil:
+ */
+ }
+
+ /* "netCDF4/_netCDF4.pyx":1285
+ * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* # create empty dictionary for CompoundType instances.
* cmptypes = OrderedDict() # <<<<<<<<<<<<<<
* vltypes = OrderedDict()
* enumtypes = OrderedDict()
*/
- __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1285; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_5))) {
@@ -6416,24 +6726,24 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
}
}
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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 = 1285; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_v_cmptypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1248
+ /* "netCDF4/_netCDF4.pyx":1286
* # create empty dictionary for CompoundType instances.
* cmptypes = OrderedDict()
* vltypes = OrderedDict() # <<<<<<<<<<<<<<
* enumtypes = OrderedDict()
* if ntypes > 0:
*/
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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 = 1286; __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_5))) {
@@ -6446,24 +6756,24 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
}
}
if (__pyx_t_6) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1248; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1286; __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 = 1286; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_v_vltypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1249
+ /* "netCDF4/_netCDF4.pyx":1287
* cmptypes = OrderedDict()
* vltypes = OrderedDict()
* enumtypes = OrderedDict() # <<<<<<<<<<<<<<
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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 = 1249; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_6 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_5))) {
@@ -6476,17 +6786,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
}
}
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1287; __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_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1249; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_v_enumtypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1250
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@@ -6496,7 +6806,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
__pyx_t_3 = ((__pyx_v_ntypes > 0) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1251
+ /* "netCDF4/_netCDF4.pyx":1289
* enumtypes = OrderedDict()
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1252
+ /* "netCDF4/_netCDF4.pyx":1290
* if ntypes > 0:
* for n from 0 <= n < ntypes:
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*/
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- /* "netCDF4/_netCDF4.pyx":1253
+ /* "netCDF4/_netCDF4.pyx":1291
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* xtype = typeids[n]
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@@ -6529,7 +6839,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1254
+ /* "netCDF4/_netCDF4.pyx":1292
* xtype = typeids[n]
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}
- /* "netCDF4/_netCDF4.pyx":1253
+ /* "netCDF4/_netCDF4.pyx":1291
* for n from 0 <= n < ntypes:
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* with nogil: # <<<<<<<<<<<<<<
@@ -6551,13 +6861,13 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
#ifdef WITH_THREAD
Py_BLOCK_THREADS
#endif
- goto __pyx_L14;
+ goto __pyx_L19;
}
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}
}
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if (__pyx_t_3) {
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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_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1296
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case NC_COMPOUND:
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+ /* "netCDF4/_netCDF4.pyx":1297
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__pyx_t_5 = 0;
__pyx_t_7 = 0;
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
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__Pyx_XDECREF_SET(__pyx_v_cmptype, __pyx_t_1);
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__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
__Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
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__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_10);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_ExceptionReset(__pyx_t_11, __pyx_t_12, __pyx_t_13);
goto __pyx_L1_error;
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__Pyx_XGIVEREF(__pyx_t_11);
__Pyx_XGIVEREF(__pyx_t_12);
__Pyx_XGIVEREF(__pyx_t_13);
__Pyx_ExceptionReset(__pyx_t_11, __pyx_t_12, __pyx_t_13);
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__Pyx_ExceptionReset(__pyx_t_13, __pyx_t_12, __pyx_t_11);
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__Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1324
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__Pyx_AddTraceback("netCDF4._netCDF4._get_types", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_5);
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_kp_s_WARNING_unsupported_Enum_type_sk);
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__Pyx_ExceptionReset(__pyx_t_11, __pyx_t_12, __pyx_t_13);
goto __pyx_L1_error;
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__Pyx_ExceptionReset(__pyx_t_11, __pyx_t_12, __pyx_t_13);
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+ /* "netCDF4/_netCDF4.pyx":1328
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* continue
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break;
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+ /* "netCDF4/_netCDF4.pyx":1329
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*/
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- * continue
+ /* "netCDF4/_netCDF4.pyx":1330
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int __pyx_v_n;
int __pyx_v__grpid;
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char __pyx_v_namstring[(NC_MAX_NAME + 1)];
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+ * dimids = <int *>malloc(sizeof(int) * numdims) # <<<<<<<<<<<<<<
+ * if group.data_model == 'NETCDF4':
+ * with nogil:
+ */
+ __pyx_v_dimids = ((int *)malloc(((sizeof(int)) * __pyx_v_numdims)));
+
+ /* "netCDF4/_netCDF4.pyx":1348
+ * if numdims > 0:
+ * dimids = <int *>malloc(sizeof(int) * numdims)
* if group.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
* with nogil:
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*/
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_data_model); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1348; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 1348; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1309
- * if numdims > 0:
+ /* "netCDF4/_netCDF4.pyx":1349
+ * dimids = <int *>malloc(sizeof(int) * numdims)
* if group.data_model == 'NETCDF4':
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@@ -7532,7 +7860,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1310
+ /* "netCDF4/_netCDF4.pyx":1350
* if group.data_model == 'NETCDF4':
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__pyx_v_ierr = nc_inq_dimids(__pyx_v__grpid, (&__pyx_v_numdims), __pyx_v_dimids, 0);
}
- /* "netCDF4/_netCDF4.pyx":1309
- * if numdims > 0:
+ /* "netCDF4/_netCDF4.pyx":1349
+ * dimids = <int *>malloc(sizeof(int) * numdims)
* if group.data_model == 'NETCDF4':
* with nogil: # <<<<<<<<<<<<<<
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}
}
- /* "netCDF4/_netCDF4.pyx":1311
+ /* "netCDF4/_netCDF4.pyx":1351
* with nogil:
* ierr = nc_inq_dimids(_grpid, &numdims, dimids, 0)
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__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1312
+ /* "netCDF4/_netCDF4.pyx":1352
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1352; __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_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1352; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__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 = 1312; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1352; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1311
+ /* "netCDF4/_netCDF4.pyx":1351
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* ierr = nc_inq_dimids(_grpid, &numdims, dimids, 0)
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*/
}
- /* "netCDF4/_netCDF4.pyx":1308
- * dimensions = OrderedDict()
+ /* "netCDF4/_netCDF4.pyx":1348
* if numdims > 0:
+ * dimids = <int *>malloc(sizeof(int) * numdims)
* if group.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
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goto __pyx_L8;
}
- /* "netCDF4/_netCDF4.pyx":1314
+ /* "netCDF4/_netCDF4.pyx":1354
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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* for n from 0 <= n < numdims: # <<<<<<<<<<<<<<
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1315
+ /* "netCDF4/_netCDF4.pyx":1355
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}
__pyx_L8:;
- /* "netCDF4/_netCDF4.pyx":1316
+ /* "netCDF4/_netCDF4.pyx":1356
* for n from 0 <= n < numdims:
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@@ -7645,7 +7973,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1317
+ /* "netCDF4/_netCDF4.pyx":1357
* dimids[n] = n
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#endif
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- /* "netCDF4/_netCDF4.pyx":1318
+ /* "netCDF4/_netCDF4.pyx":1358
* for n from 0 <= n < numdims:
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}
- /* "netCDF4/_netCDF4.pyx":1317
+ /* "netCDF4/_netCDF4.pyx":1357
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}
}
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+ /* "netCDF4/_netCDF4.pyx":1359
* with nogil:
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1320
+ /* "netCDF4/_netCDF4.pyx":1360
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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 = 1320; __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 = 1360; __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 = 1320; __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 = 1360; __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_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1360; __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 = 1320; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1319
+ /* "netCDF4/_netCDF4.pyx":1359
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- /* "netCDF4/_netCDF4.pyx":1321
+ /* "netCDF4/_netCDF4.pyx":1361
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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 = 1361; __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 = 1321; __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 = 1361; __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_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1361; __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 = 1361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -7757,7 +8085,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
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}
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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 = 1361; __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;
@@ -7768,21 +8096,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(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 = 1361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__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":1322
+ /* "netCDF4/_netCDF4.pyx":1362
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* name = namstring.decode(default_encoding,unicode_error)
* dimensions[name] = Dimension(group, name, id=dimids[n]) # <<<<<<<<<<<<<<
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+ __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
@@ -7790,32 +8118,41 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
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PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_name);
- __pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1322; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_10 = __Pyx_PyInt_From_int((__pyx_v_dimids[__pyx_v_n])); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
}
- /* "netCDF4/_netCDF4.pyx":1307
+ /* "netCDF4/_netCDF4.pyx":1363
+ * name = namstring.decode(default_encoding,unicode_error)
+ * dimensions[name] = Dimension(group, name, id=dimids[n])
+ * free(dimids) # <<<<<<<<<<<<<<
+ * return dimensions
+ *
+ */
+ free(__pyx_v_dimids);
+
+ /* "netCDF4/_netCDF4.pyx":1346
* # create empty dictionary for dimensions.
* dimensions = OrderedDict()
* if numdims > 0: # <<<<<<<<<<<<<<
+ * dimids = <int *>malloc(sizeof(int) * numdims)
* if group.data_model == 'NETCDF4':
- * with nogil:
*/
}
- /* "netCDF4/_netCDF4.pyx":1323
- * name = namstring.decode(default_encoding,unicode_error)
+ /* "netCDF4/_netCDF4.pyx":1364
* dimensions[name] = Dimension(group, name, id=dimids[n])
+ * free(dimids)
* return dimensions # <<<<<<<<<<<<<<
*
* cdef _get_grps(group):
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__pyx_r = __pyx_v_dimensions;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":1293
+ /* "netCDF4/_netCDF4.pyx":1332
* return cmptypes, vltypes, enumtypes
*
* cdef _get_dims(group): # <<<<<<<<<<<<<<
@@ -7851,7 +8188,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1325
+/* "netCDF4/_netCDF4.pyx":1366
* return dimensions
*
* cdef _get_grps(group): # <<<<<<<<<<<<<<
@@ -7885,20 +8222,20 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_get_grps", 0);
- /* "netCDF4/_netCDF4.pyx":1332
+ /* "netCDF4/_netCDF4.pyx":1373
* cdef char namstring[NC_MAX_NAME+1]
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* _grpid = group._grpid # <<<<<<<<<<<<<<
* with nogil:
* ierr = nc_inq_grps(_grpid, &numgrps, NULL)
*/
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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 = 1373; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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__pyx_v__grpid = __pyx_t_2;
- /* "netCDF4/_netCDF4.pyx":1333
+ /* "netCDF4/_netCDF4.pyx":1374
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@@ -7912,7 +8249,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1334
+ /* "netCDF4/_netCDF4.pyx":1375
* _grpid = group._grpid
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__pyx_v_ierr = nc_inq_grps(__pyx_v__grpid, (&__pyx_v_numgrps), NULL);
}
- /* "netCDF4/_netCDF4.pyx":1333
+ /* "netCDF4/_netCDF4.pyx":1374
* # get number of groups in this Group.
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@@ -7940,7 +8277,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1335
+ /* "netCDF4/_netCDF4.pyx":1376
* with nogil:
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@@ -7950,7 +8287,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1336
+ /* "netCDF4/_netCDF4.pyx":1377
* ierr = nc_inq_grps(_grpid, &numgrps, NULL)
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*/
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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 = 1336; __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 = 1336; __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 = 1377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 1377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__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 = 1336; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1335
+ /* "netCDF4/_netCDF4.pyx":1376
* with nogil:
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@@ -7982,14 +8319,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1338
+ /* "netCDF4/_netCDF4.pyx":1379
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* # create dictionary containing `netCDF4.Group` instances for groups in this group
* groups = OrderedDict() # <<<<<<<<<<<<<<
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
*/
- __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1338; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1379; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -8002,17 +8339,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
}
}
if (__pyx_t_6) {
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1379; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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} else {
- __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1338; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1379; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_v_groups = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1339
+ /* "netCDF4/_netCDF4.pyx":1380
* # create dictionary containing `netCDF4.Group` instances for groups in this group
* groups = OrderedDict()
* if numgrps > 0: # <<<<<<<<<<<<<<
@@ -8022,7 +8359,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_numgrps > 0) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1340
+ /* "netCDF4/_netCDF4.pyx":1381
* groups = OrderedDict()
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps) # <<<<<<<<<<<<<<
@@ -8031,7 +8368,7 @@ 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":1341
+ /* "netCDF4/_netCDF4.pyx":1382
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
@@ -8045,7 +8382,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1342
+ /* "netCDF4/_netCDF4.pyx":1383
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil:
* ierr = nc_inq_grps(_grpid, NULL, grpids) # <<<<<<<<<<<<<<
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__pyx_v_ierr = nc_inq_grps(__pyx_v__grpid, NULL, __pyx_v_grpids);
}
- /* "netCDF4/_netCDF4.pyx":1341
+ /* "netCDF4/_netCDF4.pyx":1382
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
@@ -8073,7 +8410,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1343
+ /* "netCDF4/_netCDF4.pyx":1384
* with nogil:
* ierr = nc_inq_grps(_grpid, NULL, grpids)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -8083,7 +8420,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1344
+ /* "netCDF4/_netCDF4.pyx":1385
* ierr = nc_inq_grps(_grpid, NULL, grpids)
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@@ -8091,22 +8428,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
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*/
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1385; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 1385; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1344; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1385; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1343
+ /* "netCDF4/_netCDF4.pyx":1384
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*/
}
- /* "netCDF4/_netCDF4.pyx":1345
+ /* "netCDF4/_netCDF4.pyx":1386
* if ierr != NC_NOERR:
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* for n from 0 <= n < numgrps: # <<<<<<<<<<<<<<
@@ -8125,7 +8462,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1346
+ /* "netCDF4/_netCDF4.pyx":1387
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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* with nogil: # <<<<<<<<<<<<<<
@@ -8139,7 +8476,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1347
+ /* "netCDF4/_netCDF4.pyx":1388
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@@ -8149,7 +8486,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
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}
- /* "netCDF4/_netCDF4.pyx":1346
+ /* "netCDF4/_netCDF4.pyx":1387
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@@ -8167,7 +8504,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1348
+ /* "netCDF4/_netCDF4.pyx":1389
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1349
+ /* "netCDF4/_netCDF4.pyx":1390
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1390; __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_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1349; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__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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*/
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- /* "netCDF4/_netCDF4.pyx":1350
+ /* "netCDF4/_netCDF4.pyx":1391
* if ierr != NC_NOERR:
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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 = 1391; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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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 = 1391; __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;
@@ -8248,21 +8585,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
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;
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__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
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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);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_groups, __pyx_v_name, __pyx_t_10) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1392; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1393
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*/
free(__pyx_v_grpids);
- /* "netCDF4/_netCDF4.pyx":1339
+ /* "netCDF4/_netCDF4.pyx":1380
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":1394
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goto __pyx_L0;
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return __pyx_r;
}
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int __pyx_v_iendian;
int __pyx_v__grpid;
int *__pyx_v_varids;
- int __pyx_v_dimids[NC_MAX_DIMS];
+ int *__pyx_v_dimids;
nc_type __pyx_v_xtype;
char __pyx_v_namstring[(NC_MAX_NAME + 1)];
char __pyx_v_namstring_cmp[(NC_MAX_NAME + 1)];
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1375
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- /* "netCDF4/_netCDF4.pyx":1376
+ /* "netCDF4/_netCDF4.pyx":1416
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+ /* "netCDF4/_netCDF4.pyx":1418
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+ /* "netCDF4/_netCDF4.pyx":1429
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+ /* "netCDF4/_netCDF4.pyx":1430
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+ /* "netCDF4/_netCDF4.pyx":1431
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1434
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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_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 = 1394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1433
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*/
}
- /* "netCDF4/_netCDF4.pyx":1396
+ /* "netCDF4/_netCDF4.pyx":1436
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1397
+ /* "netCDF4/_netCDF4.pyx":1437
* # get variable type.
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}
- /* "netCDF4/_netCDF4.pyx":1396
+ /* "netCDF4/_netCDF4.pyx":1436
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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}
}
- /* "netCDF4/_netCDF4.pyx":1398
+ /* "netCDF4/_netCDF4.pyx":1438
* with nogil:
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1439
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
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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);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1399; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1398
+ /* "netCDF4/_netCDF4.pyx":1438
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+ /* "netCDF4/_netCDF4.pyx":1441
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__Pyx_XDECREF_SET(__pyx_v_endianness, Py_None);
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+ /* "netCDF4/_netCDF4.pyx":1444
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+ /* "netCDF4/_netCDF4.pyx":1446
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}
- /* "netCDF4/_netCDF4.pyx":1405
+ /* "netCDF4/_netCDF4.pyx":1445
* # (if needed) so that it is in native endian format (issue #391).
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+ /* "netCDF4/_netCDF4.pyx":1447
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+ /* "netCDF4/_netCDF4.pyx":1448
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- __Pyx_DECREF_SET(__pyx_v_endianness, __pyx_kp_s__13);
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ 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;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_10);
- /* "netCDF4/_netCDF4.pyx":1418
+ /* "netCDF4/_netCDF4.pyx":1458
* datatype = endianness + datatype
* except KeyError:
* if xtype == NC_STRING: # <<<<<<<<<<<<<<
@@ -9217,7 +9554,7 @@ 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":1419
+ /* "netCDF4/_netCDF4.pyx":1459
* except KeyError:
* if xtype == NC_STRING:
* datatype = str # <<<<<<<<<<<<<<
@@ -9227,7 +9564,7 @@ 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":1418
+ /* "netCDF4/_netCDF4.pyx":1458
* datatype = endianness + datatype
* except KeyError:
* if xtype == NC_STRING: # <<<<<<<<<<<<<<
@@ -9237,7 +9574,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
goto __pyx_L48;
}
- /* "netCDF4/_netCDF4.pyx":1421
+ /* "netCDF4/_netCDF4.pyx":1461
* datatype = str
* else:
* with nogil: # <<<<<<<<<<<<<<
@@ -9252,7 +9589,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1422
+ /* "netCDF4/_netCDF4.pyx":1462
* else:
* with nogil:
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp, # <<<<<<<<<<<<<<
@@ -9262,7 +9599,7 @@ 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":1421
+ /* "netCDF4/_netCDF4.pyx":1461
* datatype = str
* else:
* with nogil: # <<<<<<<<<<<<<<
@@ -9280,7 +9617,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1424
+ /* "netCDF4/_netCDF4.pyx":1464
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp,
* NULL, NULL, NULL, &classp)
* if classp == NC_COMPOUND: # a compound type # <<<<<<<<<<<<<<
@@ -9290,7 +9627,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
switch (__pyx_v_classp) {
case NC_COMPOUND:
- /* "netCDF4/_netCDF4.pyx":1426
+ /* "netCDF4/_netCDF4.pyx":1466
* if classp == NC_COMPOUND: # a compound type
* # create CompoundType instance describing this compound type.
* try: # <<<<<<<<<<<<<<
@@ -9304,7 +9641,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XGOTREF(__pyx_t_18);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1427
+ /* "netCDF4/_netCDF4.pyx":1467
* # create CompoundType instance describing this compound type.
* try:
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*/
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__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 = 1467; __pyx_clineno = __LINE__; goto __pyx_L54_error;}
__Pyx_GOTREF(__pyx_t_7);
__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_7);
__pyx_t_7 = 0;
- /* "netCDF4/_netCDF4.pyx":1426
+ /* "netCDF4/_netCDF4.pyx":1466
* if classp == NC_COMPOUND: # a compound type
* # create CompoundType instance describing this compound type.
* try: # <<<<<<<<<<<<<<
@@ -9335,7 +9672,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
- /* "netCDF4/_netCDF4.pyx":1428
+ /* "netCDF4/_netCDF4.pyx":1468
* try:
* datatype = _read_compound(group, xtype, endian=endianness)
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@@ -9345,33 +9682,33 @@ 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_7, &__pyx_t_5, &__pyx_t_8) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1428; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
+ if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_5, &__pyx_t_8) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1468; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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__Pyx_GOTREF(__pyx_t_5);
__Pyx_GOTREF(__pyx_t_8);
- /* "netCDF4/_netCDF4.pyx":1429
+ /* "netCDF4/_netCDF4.pyx":1469
* datatype = _read_compound(group, xtype, endian=endianness)
* except KeyError:
* msg="WARNING: variable '%s' has unsupported compound datatype, skipping .." % name # <<<<<<<<<<<<<<
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+ __pyx_t_20 = __Pyx_PyString_Format(__pyx_kp_s_WARNING_variable_s_has_unsupport, __pyx_v_name); if (unlikely(!__pyx_t_20)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1469; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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__pyx_t_20 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1470
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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 = 1470; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
__Pyx_GOTREF(__pyx_t_21);
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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 = 1470; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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}
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+ __pyx_t_20 = __Pyx_PyObject_Call(__pyx_t_22, __pyx_t_23, NULL); if (unlikely(!__pyx_t_20)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1470; __pyx_clineno = __LINE__; goto __pyx_L56_except_error;}
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+ /* "netCDF4/_netCDF4.pyx":1471
* msg="WARNING: variable '%s' has unsupported compound datatype, skipping .." % name
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goto __pyx_L56_except_error;
__pyx_L56_except_error:;
- /* "netCDF4/_netCDF4.pyx":1426
+ /* "netCDF4/_netCDF4.pyx":1466
* if classp == NC_COMPOUND: # a compound type
* # create CompoundType instance describing this compound type.
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__pyx_L61_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":1424
+ /* "netCDF4/_netCDF4.pyx":1464
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp,
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* if classp == NC_COMPOUND: # a compound type # <<<<<<<<<<<<<<
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*/
break;
- /* "netCDF4/_netCDF4.pyx":1432
+ /* "netCDF4/_netCDF4.pyx":1472
* warnings.warn(msg)
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*/
case NC_VLEN:
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+ /* "netCDF4/_netCDF4.pyx":1474
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__Pyx_XGOTREF(__pyx_t_16);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1435
+ /* "netCDF4/_netCDF4.pyx":1475
* # 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 = 1475; __pyx_clineno = __LINE__; goto __pyx_L64_error;}
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__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_8);
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__Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
- /* "netCDF4/_netCDF4.pyx":1436
+ /* "netCDF4/_netCDF4.pyx":1476
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__pyx_t_15 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
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__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 = 1476; __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":1437
+ /* "netCDF4/_netCDF4.pyx":1477
* 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 = 1477; __pyx_clineno = __LINE__; goto __pyx_L66_except_error;}
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__pyx_t_20 = 0;
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goto __pyx_L66_except_error;
__pyx_L66_except_error:;
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__pyx_L71_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":1432
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*/
break;
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+ /* "netCDF4/_netCDF4.pyx":1480
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*/
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+ /* "netCDF4/_netCDF4.pyx":1482
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__Pyx_XGOTREF(__pyx_t_18);
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+ /* "netCDF4/_netCDF4.pyx":1483
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+ /* "netCDF4/_netCDF4.pyx":1482
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__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1484
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__Pyx_GOTREF(__pyx_t_8);
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+ /* "netCDF4/_netCDF4.pyx":1485
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+ /* "netCDF4/_netCDF4.pyx":1487
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goto __pyx_L76_except_error;
__pyx_L76_except_error:;
- /* "netCDF4/_netCDF4.pyx":1442
+ /* "netCDF4/_netCDF4.pyx":1482
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__pyx_L81_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":1440
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goto __pyx_L39_except_error;
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- /* "netCDF4/_netCDF4.pyx":1455
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- * # get dimension ids.
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*/
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+ /* "netCDF4/_netCDF4.pyx":1497
+ * if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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+
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1459
+ /* "netCDF4/_netCDF4.pyx":1500
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}
- /* "netCDF4/_netCDF4.pyx":1458
- * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ /* "netCDF4/_netCDF4.pyx":1499
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}
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*/
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for (__pyx_v_nn = 0; __pyx_v_nn < __pyx_t_15; __pyx_v_nn++) {
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__Pyx_XDECREF_SET(__pyx_v_grp, __pyx_v_group);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L8;
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goto __pyx_L10;
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goto __pyx_L6;
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goto __pyx_L20;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1747; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1746
+ /* "netCDF4/_netCDF4.pyx":1794
* else:
* raise ValueError("mode must be 'w', 'r', 'a' or 'r+', got '%s'" % mode)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -11582,14 +11946,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
*/
}
- /* "netCDF4/_netCDF4.pyx":1749
+ /* "netCDF4/_netCDF4.pyx":1797
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* # data model and file format attributes
* self.data_model = _get_format(grpid) # <<<<<<<<<<<<<<
* # data_model attribute used to be file_format (versions < 1.0.8), retain
* # file_format for backwards compatibility.
*/
- __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_format(__pyx_v_grpid); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1749; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_format(__pyx_v_grpid); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1797; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->data_model);
@@ -11597,7 +11961,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->data_model = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1752
+ /* "netCDF4/_netCDF4.pyx":1800
* # data_model attribute used to be file_format (versions < 1.0.8), retain
* # file_format for backwards compatibility.
* self.file_format = self.data_model # <<<<<<<<<<<<<<
@@ -11612,14 +11976,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->file_format = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1753
+ /* "netCDF4/_netCDF4.pyx":1801
* # file_format for backwards compatibility.
* self.file_format = self.data_model
* self.disk_format = _get_full_format(grpid) # <<<<<<<<<<<<<<
* # diskless read access only works with NETCDF_CLASSIC (for now)
* #ncopen = mode.startswith('a') or mode.startswith('r')
*/
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+ __pyx_t_6 = __pyx_f_7netCDF4_8_netCDF4__get_full_format(__pyx_v_grpid); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1801; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->disk_format);
@@ -11627,7 +11991,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_v_self->disk_format = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1758
+ /* "netCDF4/_netCDF4.pyx":1806
* #if diskless and self.data_model != 'NETCDF3_CLASSIC' and ncopen:
* # raise ValueError("diskless access only supported for NETCDF3_CLASSIC format")
* self._grpid = grpid # <<<<<<<<<<<<<<
@@ -11636,7 +12000,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
*/
__pyx_v_self->_grpid = __pyx_v_grpid;
- /* "netCDF4/_netCDF4.pyx":1759
+ /* "netCDF4/_netCDF4.pyx":1807
* # raise ValueError("diskless access only supported for NETCDF3_CLASSIC format")
* self._grpid = grpid
* self._isopen = 1 # <<<<<<<<<<<<<<
@@ -11645,20 +12009,20 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
*/
__pyx_v_self->_isopen = 1;
- /* "netCDF4/_netCDF4.pyx":1760
+ /* "netCDF4/_netCDF4.pyx":1808
* self._grpid = grpid
* self._isopen = 1
* self.path = '/' # <<<<<<<<<<<<<<
* self.parent = None
* self.keepweakref = keepweakref
*/
- __Pyx_INCREF(__pyx_kp_s__14);
- __Pyx_GIVEREF(__pyx_kp_s__14);
+ __Pyx_INCREF(__pyx_kp_s__16);
+ __Pyx_GIVEREF(__pyx_kp_s__16);
__Pyx_GOTREF(__pyx_v_self->path);
__Pyx_DECREF(__pyx_v_self->path);
- __pyx_v_self->path = __pyx_kp_s__14;
+ __pyx_v_self->path = __pyx_kp_s__16;
- /* "netCDF4/_netCDF4.pyx":1761
+ /* "netCDF4/_netCDF4.pyx":1809
* self._isopen = 1
* self.path = '/'
* self.parent = None # <<<<<<<<<<<<<<
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__Pyx_DECREF(__pyx_v_self->parent);
__pyx_v_self->parent = Py_None;
- /* "netCDF4/_netCDF4.pyx":1762
+ /* "netCDF4/_netCDF4.pyx":1810
* self.path = '/'
* self.parent = None
* self.keepweakref = keepweakref # <<<<<<<<<<<<<<
@@ -11684,14 +12048,14 @@ 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":1764
+ /* "netCDF4/_netCDF4.pyx":1812
* 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 = 1764; __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 = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyObject* sequence = __pyx_t_6;
@@ -11703,7 +12067,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
if (unlikely(size != 3)) {
if (size > 3) __Pyx_RaiseTooManyValuesError(3);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1764; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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@@ -11719,17 +12083,17 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__Pyx_INCREF(__pyx_t_3);
__Pyx_INCREF(__pyx_t_8);
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+ __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;}
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+ __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __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_GOTREF(__pyx_t_8);
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__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 = 1764; __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 = 1812; __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;
@@ -11739,7 +12103,7 @@ 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);
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+ 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;}
__pyx_t_10 = NULL;
__Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
goto __pyx_L26_unpacking_done;
@@ -11747,7 +12111,7 @@ 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 = 1764; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_L26_unpacking_done:;
}
__Pyx_GIVEREF(__pyx_t_4);
@@ -11766,14 +12130,14 @@ 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":1766
+ /* "netCDF4/_netCDF4.pyx":1814
* 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 = 1766; __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 = 1814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->dimensions);
@@ -11781,14 +12145,14 @@ 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":1768
+ /* "netCDF4/_netCDF4.pyx":1816
* 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 = 1768; __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 = 1816; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->variables);
@@ -11796,24 +12160,24 @@ 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":1770
+ /* "netCDF4/_netCDF4.pyx":1818
* 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 = 1770; __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 = 1818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":1771
+ /* "netCDF4/_netCDF4.pyx":1819
* # get groups in the root Group.
* if self.data_model == 'NETCDF4':
* self.groups = _get_grps(self) # <<<<<<<<<<<<<<
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*/
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+ __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_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->groups);
@@ -11821,7 +12185,7 @@ 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":1770
+ /* "netCDF4/_netCDF4.pyx":1818
* self.variables = _get_vars(self)
* # get groups in the root Group.
* if self.data_model == 'NETCDF4': # <<<<<<<<<<<<<<
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goto __pyx_L27;
}
- /* "netCDF4/_netCDF4.pyx":1773
+ /* "netCDF4/_netCDF4.pyx":1821
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* else:
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*/
/*else*/ {
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+ __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;}
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@@ -11852,10 +12216,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
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}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1924; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1963
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return __pyx_r;
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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 = 1993; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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return __pyx_r;
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+ if (unlikely(PyObject_SetItem(__pyx_v_self->vltypes, __pyx_v_datatype_name, __pyx_t_2) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2044; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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return __pyx_r;
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else {
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+ __Pyx_RaiseArgtupleInvalid("createEnumType", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2047; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ if (unlikely(PyObject_SetItem(__pyx_v_self->enumtypes, __pyx_v_datatype_name, __pyx_t_2) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2057; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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return __pyx_r;
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values[3] = ((PyObject *)Py_False);
values[4] = ((PyObject *)__pyx_int_4);
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values[6] = ((PyObject *)Py_False);
values[7] = ((PyObject *)Py_False);
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values[9] = ((PyObject *)__pyx_n_s_native);
values[10] = ((PyObject *)Py_None);
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+ __Pyx_RaiseArgtupleInvalid("createVariable", 0, 2, 13, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2061; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createVariable") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2061; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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switch (PyTuple_GET_SIZE(__pyx_args)) {
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+ __Pyx_RaiseArgtupleInvalid("createVariable", 0, 2, 13, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2061; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_INCREF(__pyx_v_varname);
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+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_contiguous, __pyx_v_contiguous) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2197; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_chunksizes, __pyx_v_chunksizes) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2197; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_5);
PyTuple_SET_ITEM(__pyx_t_11, 0+1, __pyx_t_5);
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*/
}
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PyTuple_SET_ITEM(__pyx_t_5, 0+1, __pyx_v_name);
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goto __pyx_L0;
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+ __Pyx_RaiseArgtupleInvalid("renameAttribute", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2350; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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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 = 2557; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_self->__pyx_base._grpid = __pyx_t_9;
- /* "netCDF4/_netCDF4.pyx":2508
+ /* "netCDF4/_netCDF4.pyx":2559
* self._grpid = kwargs['id']
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* self.cmptypes, self.vltypes, self.enumtypes = _get_types(self) # <<<<<<<<<<<<<<
* # get dimensions in this Group.
* self.dimensions = _get_dims(self)
*/
- __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2508; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_types(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) {
PyObject* sequence = __pyx_t_1;
@@ -21931,7 +22295,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
if (unlikely(size != 3)) {
if (size > 3) __Pyx_RaiseTooManyValuesError(3);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2508; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
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if (likely(PyTuple_CheckExact(sequence))) {
@@ -21947,17 +22311,17 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__Pyx_INCREF(__pyx_t_6);
__Pyx_INCREF(__pyx_t_2);
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+ __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_2 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
} else {
Py_ssize_t index = -1;
- __pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2508; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_10 = Py_TYPE(__pyx_t_4)->tp_iternext;
@@ -21967,7 +22331,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__Pyx_GOTREF(__pyx_t_6);
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__Pyx_GOTREF(__pyx_t_2);
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+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_10(__pyx_t_4), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2559; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = NULL;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
goto __pyx_L5_unpacking_done;
@@ -21975,7 +22339,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2508; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L5_unpacking_done:;
}
__Pyx_GIVEREF(__pyx_t_3);
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__pyx_v_self->__pyx_base.enumtypes = __pyx_t_2;
__pyx_t_2 = 0;
- /* "netCDF4/_netCDF4.pyx":2510
+ /* "netCDF4/_netCDF4.pyx":2561
* self.cmptypes, self.vltypes, self.enumtypes = _get_types(self)
* # get dimensions in this Group.
* self.dimensions = _get_dims(self) # <<<<<<<<<<<<<<
* # get variables in this Group.
* self.variables = _get_vars(self)
*/
- __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_dims(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_dims(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2561; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.dimensions);
@@ -22009,14 +22373,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.dimensions = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2512
+ /* "netCDF4/_netCDF4.pyx":2563
* self.dimensions = _get_dims(self)
* # get variables in this Group.
* self.variables = _get_vars(self) # <<<<<<<<<<<<<<
* # get groups in this Group.
* self.groups = _get_grps(self)
*/
- __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_vars(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2512; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_vars(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2563; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.variables);
@@ -22024,14 +22388,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.variables = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2514
+ /* "netCDF4/_netCDF4.pyx":2565
* self.variables = _get_vars(self)
* # get groups in this Group.
* self.groups = _get_grps(self) # <<<<<<<<<<<<<<
* else:
* bytestr = _strencode(name)
*/
- __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 = 2514; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 2565; __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);
@@ -22039,7 +22403,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
__pyx_v_self->__pyx_base.groups = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2505
+ /* "netCDF4/_netCDF4.pyx":2556
* # propagate weak reference setting from parent.
* self.keepweakref = parent.keepweakref
* if 'id' in kwargs: # <<<<<<<<<<<<<<
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goto __pyx_L3;
}
- /* "netCDF4/_netCDF4.pyx":2516
+ /* "netCDF4/_netCDF4.pyx":2567
* self.groups = _get_grps(self)
* else:
* bytestr = _strencode(name) # <<<<<<<<<<<<<<
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*/
/*else*/ {
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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 = 2567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2517
+ /* "netCDF4/_netCDF4.pyx":2568
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* bytestr = _strencode(name)
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*/
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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 = 2568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_groupname = __pyx_t_11;
- /* "netCDF4/_netCDF4.pyx":2518
+ /* "netCDF4/_netCDF4.pyx":2569
* 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 = 2569; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __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 = 2518; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 2569; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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- /* "netCDF4/_netCDF4.pyx":2519
+ /* "netCDF4/_netCDF4.pyx":2570
* groupname = bytestr
* ierr = nc_def_grp(parent._grpid, groupname, &self._grpid)
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__pyx_t_8 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":2520
+ /* "netCDF4/_netCDF4.pyx":2571
* ierr = nc_def_grp(parent._grpid, groupname, &self._grpid)
* if ierr != NC_NOERR:
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__pyx_t_11 = ((char *)nc_strerror(__pyx_v_ierr));
- __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 = 2520; __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 = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__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;
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+ __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_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 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 = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2571; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2519
+ /* "netCDF4/_netCDF4.pyx":2570
* groupname = bytestr
* ierr = nc_def_grp(parent._grpid, groupname, &self._grpid)
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*/
}
- /* "netCDF4/_netCDF4.pyx":2521
+ /* "netCDF4/_netCDF4.pyx":2572
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* self.cmptypes = OrderedDict() # <<<<<<<<<<<<<<
* self.vltypes = OrderedDict()
* self.enumtypes = 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 = 2572; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_6 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
@@ -22147,10 +22511,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
}
}
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 = 2572; __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 = 2521; __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 = 2572; __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;
@@ -22160,14 +22524,14 @@ 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":2522
+ /* "netCDF4/_netCDF4.pyx":2573
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2600; __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_Raise(__pyx_t_1, 0, 0, 0);
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return __pyx_r;
}
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__pyx_v_self->_grp = __pyx_t_1;
__pyx_t_1 = 0;
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goto __pyx_L3;
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__Pyx_DECREF(__pyx_v_self->_name);
__pyx_v_self->_name = __pyx_v_name;
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+ /* "netCDF4/_netCDF4.pyx":2658
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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 = 2658; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2605
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goto __pyx_L4;
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- /* "netCDF4/_netCDF4.pyx":2607
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__pyx_t_1 = 0;
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+ __pyx_t_8 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_8) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2662; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_3 = (__pyx_t_7 != 0);
if (__pyx_t_3) {
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+ __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 = 2667; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_redef); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2667; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":2615
+ /* "netCDF4/_netCDF4.pyx":2669
* if grp.data_model != 'NETCDF4': grp._redef()
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goto __pyx_L0;
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int __pyx_v_ngatts;
int __pyx_v_xdimid;
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__pyx_v_ierr = nc_inq_unlimdims(__pyx_v_self->_grpid, (&__pyx_v_numunlimdims), __pyx_v_unlimdimids);
}
- /* "netCDF4/_netCDF4.pyx":2683
- * else:
+ /* "netCDF4/_netCDF4.pyx":2745
+ * unlimdimids = <int *>malloc(sizeof(int) * numunlimdims)
* dimid = self._dimid
* with nogil: # <<<<<<<<<<<<<<
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
@@ -24351,7 +24849,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
- /* "netCDF4/_netCDF4.pyx":2685
+ /* "netCDF4/_netCDF4.pyx":2747
* with nogil:
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -24361,7 +24859,7 @@ 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":2686
+ /* "netCDF4/_netCDF4.pyx":2748
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -24369,22 +24867,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
* for n from 0 <= n < numunlimdims:
*/
__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 = 2686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 2686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2748; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__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 = 2686; __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 = 2748; __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 = 2686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2748; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2685
+ /* "netCDF4/_netCDF4.pyx":2747
* with nogil:
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -24393,57 +24891,66 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
}
- /* "netCDF4/_netCDF4.pyx":2687
+ /* "netCDF4/_netCDF4.pyx":2749
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* unlimdim_ids = [] # <<<<<<<<<<<<<<
* for n from 0 <= n < numunlimdims:
* unlimdim_ids.append(unlimdimids[n])
*/
- __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2687; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2749; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_unlimdim_ids = ((PyObject*)__pyx_t_3);
__pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":2688
+ /* "netCDF4/_netCDF4.pyx":2750
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* unlimdim_ids = []
* for n from 0 <= n < numunlimdims: # <<<<<<<<<<<<<<
* unlimdim_ids.append(unlimdimids[n])
- * if dimid in unlimdim_ids:
+ * free(unlimdimids)
*/
__pyx_t_5 = __pyx_v_numunlimdims;
for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_5; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":2689
+ /* "netCDF4/_netCDF4.pyx":2751
* unlimdim_ids = []
* for n from 0 <= n < numunlimdims:
* unlimdim_ids.append(unlimdimids[n]) # <<<<<<<<<<<<<<
+ * free(unlimdimids)
* if dimid in unlimdim_ids:
- * return True
*/
- __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_unlimdimids[__pyx_v_n])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2689; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_unlimdimids[__pyx_v_n])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2751; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_6 = __Pyx_PyList_Append(__pyx_v_unlimdim_ids, __pyx_t_3); if (unlikely(__pyx_t_6 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2689; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyList_Append(__pyx_v_unlimdim_ids, __pyx_t_3); if (unlikely(__pyx_t_6 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2751; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
}
- /* "netCDF4/_netCDF4.pyx":2690
+ /* "netCDF4/_netCDF4.pyx":2752
* for n from 0 <= n < numunlimdims:
* unlimdim_ids.append(unlimdimids[n])
+ * free(unlimdimids) # <<<<<<<<<<<<<<
+ * if dimid in unlimdim_ids:
+ * return True
+ */
+ free(__pyx_v_unlimdimids);
+
+ /* "netCDF4/_netCDF4.pyx":2753
+ * unlimdim_ids.append(unlimdimids[n])
+ * free(unlimdimids)
* if dimid in unlimdim_ids: # <<<<<<<<<<<<<<
* return True
* else:
*/
- __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_dimid); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2690; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_dimid); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2753; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __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 = 2690; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 2753; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = (__pyx_t_1 != 0);
if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2691
- * unlimdim_ids.append(unlimdimids[n])
+ /* "netCDF4/_netCDF4.pyx":2754
+ * free(unlimdimids)
* if dimid in unlimdim_ids:
* return True # <<<<<<<<<<<<<<
* else:
@@ -24454,16 +24961,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_r = Py_True;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2690
- * for n from 0 <= n < numunlimdims:
+ /* "netCDF4/_netCDF4.pyx":2753
* unlimdim_ids.append(unlimdimids[n])
+ * free(unlimdimids)
* if dimid in unlimdim_ids: # <<<<<<<<<<<<<<
* return True
* else:
*/
}
- /* "netCDF4/_netCDF4.pyx":2693
+ /* "netCDF4/_netCDF4.pyx":2756
* return True
* else:
* return False # <<<<<<<<<<<<<<
@@ -24478,16 +24985,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
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+ /* "netCDF4/_netCDF4.pyx":2736
* cdef int ierr, n, numunlimdims, ndims, nvars, ngatts, xdimid
- * cdef int unlimdimids[NC_MAX_DIMS]
+ * cdef int *unlimdimids
* if self._data_model == 'NETCDF4': # <<<<<<<<<<<<<<
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, NULL)
* if ierr != NC_NOERR:
*/
}
- /* "netCDF4/_netCDF4.pyx":2696
+ /* "netCDF4/_netCDF4.pyx":2759
* else: # if not NETCDF4, there is only one unlimited dimension.
* # nc_inq_unlimdims only works for NETCDF4.
* with nogil: # <<<<<<<<<<<<<<
@@ -24502,7 +25009,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":2697
+ /* "netCDF4/_netCDF4.pyx":2760
* # nc_inq_unlimdims only works for NETCDF4.
* with nogil:
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid) # <<<<<<<<<<<<<<
@@ -24512,7 +25019,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
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}
- /* "netCDF4/_netCDF4.pyx":2696
+ /* "netCDF4/_netCDF4.pyx":2759
* else: # if not NETCDF4, there is only one unlimited dimension.
* # nc_inq_unlimdims only works for NETCDF4.
* with nogil: # <<<<<<<<<<<<<<
@@ -24530,7 +25037,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
- /* "netCDF4/_netCDF4.pyx":2698
+ /* "netCDF4/_netCDF4.pyx":2761
* with nogil:
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
* if self._dimid == xdimid: # <<<<<<<<<<<<<<
@@ -24540,7 +25047,7 @@ 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":2699
+ /* "netCDF4/_netCDF4.pyx":2762
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
* if self._dimid == xdimid:
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__pyx_r = Py_True;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2698
+ /* "netCDF4/_netCDF4.pyx":2761
* with nogil:
* ierr = nc_inq(self._grpid, &ndims, &nvars, &ngatts, &xdimid)
* if self._dimid == xdimid: # <<<<<<<<<<<<<<
@@ -24561,7 +25068,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
}
- /* "netCDF4/_netCDF4.pyx":2701
+ /* "netCDF4/_netCDF4.pyx":2764
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* else:
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}
}
- /* "netCDF4/_netCDF4.pyx":2668
+ /* "netCDF4/_netCDF4.pyx":2729
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*
* def isunlimited(self): # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":2569
- * `netCDF4.Dataset.createVariable`.
+/* "netCDF4/_netCDF4.pyx":2623
+ * `netCDF4.Dimension` instance).
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* cdef public int _dimid, _grpid # <<<<<<<<<<<<<<
* cdef public _data_model, _name, _grp
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__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 = 2623; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
@@ -24665,7 +25172,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension_6_dimid_2__set__(struct __pyx_
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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+ __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;}
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/* function exit code */
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__get__", 0);
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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 = 2623; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_1 = 0;
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const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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+ __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;}
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":2570
+/* "netCDF4/_netCDF4.pyx":2624
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return __pyx_r;
}
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values[4] = ((PyObject *)Py_False);
values[5] = ((PyObject *)__pyx_int_4);
- /* "netCDF4/_netCDF4.pyx":2797
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values[7] = ((PyObject *)Py_False);
values[8] = ((PyObject *)Py_False);
- /* "netCDF4/_netCDF4.pyx":2798
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values[10] = ((PyObject *)__pyx_n_s_native);
values[11] = ((PyObject *)Py_None);
- /* "netCDF4/_netCDF4.pyx":2799
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2859; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2859; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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@@ -25191,7 +25698,7 @@ static int __pyx_pw_7netCDF4_8_netCDF4_8Variable_1__init__(PyObject *__pyx_v_sel
}
}
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@@ -25230,7 +25737,7 @@ static int __pyx_pw_7netCDF4_8_netCDF4_8Variable_1__init__(PyObject *__pyx_v_sel
}
goto __pyx_L4_argument_unpacking_done;
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 3, 14, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2859; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_DECREF(__pyx_v_kwargs); __pyx_v_kwargs = 0;
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int __pyx_v_numdims;
char *__pyx_v_varname;
nc_type __pyx_v_xtype;
- int __pyx_v_dimids[NC_MAX_DIMS];
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size_t __pyx_v_sizep;
size_t __pyx_v_nelemsp;
size_t *__pyx_v_chunksizesp;
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PyObject *__pyx_v_msg = NULL;
PyObject *__pyx_v_bytestr = NULL;
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long __pyx_v_n;
PyObject *__pyx_v_dimname = NULL;
PyObject *__pyx_v_dim = NULL;
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Py_ssize_t __pyx_t_11;
int __pyx_t_12;
- size_t __pyx_t_13;
- Py_ssize_t __pyx_t_14;
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- PyObject *(*__pyx_t_16)(PyObject *);
- PyObject *__pyx_t_17 = NULL;
+ int __pyx_t_13;
+ size_t __pyx_t_14;
+ Py_ssize_t __pyx_t_15;
+ struct __pyx_opt_args_7netCDF4_8_netCDF4__set_att __pyx_t_16;
+ PyObject *(*__pyx_t_17)(PyObject *);
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int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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__Pyx_INCREF(__pyx_v_dimensions);
__Pyx_INCREF(__pyx_v_zlib);
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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 = 2963; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF_SET(__pyx_v_zlib, Py_False);
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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 = 2905; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 2905; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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;}
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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 = 2969; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__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;
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+ /* "netCDF4/_netCDF4.pyx":2968
* # this prevents a common error that occurs when
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*/
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+ /* "netCDF4/_netCDF4.pyx":2970
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_grpid); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2970; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_self->_grpid = __pyx_t_4;
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+ /* "netCDF4/_netCDF4.pyx":2973
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- __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_keepweakref); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2910; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_keepweakref); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2973; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_weakref); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2974; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_self->_grp = __pyx_t_3;
__pyx_t_3 = 0;
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goto __pyx_L8;
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__pyx_v_self->_isvlen = Py_True;
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* if isinstance(datatype, VLType) or datatype==str:
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__Pyx_DECREF(__pyx_v_self->_vltype);
__pyx_v_self->_vltype = __pyx_v_datatype;
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*/
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+ /* "netCDF4/_netCDF4.pyx":3018
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__pyx_t_1 = (__pyx_t_8 != 0);
if (__pyx_t_1) {
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__Pyx_DECREF(__pyx_v_self->_isenum);
__pyx_v_self->_isenum = Py_True;
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* if isinstance(datatype, EnumType):
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__Pyx_DECREF(__pyx_v_self->_enumtype);
__pyx_v_self->_enumtype = __pyx_v_datatype;
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+ /* "netCDF4/_netCDF4.pyx":3018
* self._isvlen = True
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*/
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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 = 3022; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 3022; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3023
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3022
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*/
}
- /* "netCDF4/_netCDF4.pyx":2965
+ /* "netCDF4/_netCDF4.pyx":3028
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+ __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3028; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(__pyx_v_self->_grp);
__Pyx_GIVEREF(__pyx_v_self->_grp);
@@ -26185,13 +26694,13 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
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__Pyx_GIVEREF(Py_None);
PyTuple_SET_ITEM(__pyx_t_3, 2, Py_None);
- __pyx_t_5 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_7netCDF4_8_netCDF4_VLType), __pyx_t_3, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2965; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_7netCDF4_8_netCDF4_VLType), __pyx_t_3, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3028; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_5);
__pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3029
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__Pyx_DECREF(__pyx_v_self->_vltype);
__pyx_v_self->_vltype = __pyx_v_datatype;
- /* "netCDF4/_netCDF4.pyx":2958
+ /* "netCDF4/_netCDF4.pyx":3021
* self._isenum = True
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* if datatype==str: # <<<<<<<<<<<<<<
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":3030
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*/
- __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_nc_type); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2967; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_nc_type); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3030; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
- __pyx_t_9 = __Pyx_PyInt_As_nc_type(__pyx_t_5); if (unlikely((__pyx_t_9 == (nc_type)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2967; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_9 = __Pyx_PyInt_As_nc_type(__pyx_t_5); if (unlikely((__pyx_t_9 == (nc_type)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3030; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_xtype = __pyx_t_9;
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+ /* "netCDF4/_netCDF4.pyx":3032
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*/
- __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_dtype); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2969; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_dtype); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3032; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_GIVEREF(__pyx_t_5);
__Pyx_GOTREF(__pyx_v_self->dtype);
@@ -26241,7 +26750,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
__pyx_v_self->dtype = __pyx_t_5;
__pyx_t_5 = 0;
- /* "netCDF4/_netCDF4.pyx":2948
+ /* "netCDF4/_netCDF4.pyx":3011
* self._isvlen = False
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goto __pyx_L31;
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- /* "netCDF4/_netCDF4.pyx":2970
+ /* "netCDF4/_netCDF4.pyx":3033
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- __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_datatype, __pyx_n_s_str); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2970; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_v_self->_isprimitive = Py_True;
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__Pyx_DECREF(__pyx_v_self->dtype);
__pyx_v_self->dtype = __pyx_v_datatype;
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goto __pyx_L31;
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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;}
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__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3);
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3041; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_3);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2978; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3042
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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 = 3042; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_1 = (__pyx_t_8 != 0);
if (__pyx_t_1) {
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+ /* "netCDF4/_netCDF4.pyx":3043
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+ __pyx_t_3 = __Pyx_PyDict_GetItem(__pyx_v_kwargs, __pyx_n_s_id); if (unlikely(__pyx_t_3 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3043; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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+ __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3043; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3042
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goto __pyx_L39;
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- /* "netCDF4/_netCDF4.pyx":2982
+ /* "netCDF4/_netCDF4.pyx":3045
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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 = 3045; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_bytestr = __pyx_t_3;
__pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3046
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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 = 3046; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3047
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* # find dimension ids.
* if ndims: # <<<<<<<<<<<<<<
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__Pyx_GIVEREF(__pyx_v_dimname);
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if (__pyx_t_8) {
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* ndims = len(dimensions)
* # find dimension ids.
* if ndims: # <<<<<<<<<<<<<<
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*/
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+ /* "netCDF4/_netCDF4.pyx":3064
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if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":3001
+ /* "netCDF4/_netCDF4.pyx":3067
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* ierr = nc_def_var(self._grpid, varname, xtype, ndims, # <<<<<<<<<<<<<<
* dimids, &self._varid)
- * else: # a scalar variable.
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*/
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- /* "netCDF4/_netCDF4.pyx":3000
+ /* "netCDF4/_netCDF4.pyx":3069
+ * ierr = nc_def_var(self._grpid, varname, xtype, ndims,
+ * dimids, &self._varid)
+ * free(dimids) # <<<<<<<<<<<<<<
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+ */
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+ /* "netCDF4/_netCDF4.pyx":3066
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goto __pyx_L45;
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- /* "netCDF4/_netCDF4.pyx":3004
- * dimids, &self._varid)
+ /* "netCDF4/_netCDF4.pyx":3071
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* else: # a scalar variable.
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*/
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*/
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*/
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+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3107; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3105
* else:
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*/
}
- /* "netCDF4/_netCDF4.pyx":3032
+ /* "netCDF4/_netCDF4.pyx":3099
* if grp.data_model in ['NETCDF4','NETCDF4_CLASSIC']:
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@@ -27064,14 +27612,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
*/
}
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+ /* "netCDF4/_netCDF4.pyx":3109
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*/
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+ /* "netCDF4/_netCDF4.pyx":3111
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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 = 3045; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3113
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
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+ /* "netCDF4/_netCDF4.pyx":3111
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*/
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+ /* "netCDF4/_netCDF4.pyx":3109
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*/
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*/
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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*/
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goto __pyx_L68;
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goto __pyx_L53;
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_t_10);
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goto __pyx_L30;
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+ /* "netCDF4/_netCDF4.pyx":3263
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goto __pyx_L22_except_error;
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__pyx_L27_try_end:;
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+ /* "netCDF4/_netCDF4.pyx":3264
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- /* "netCDF4/_netCDF4.pyx":3183
+ /* "netCDF4/_netCDF4.pyx":3254
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goto __pyx_L19;
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+ /* "netCDF4/_netCDF4.pyx":3266
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}
__pyx_L19:;
- /* "netCDF4/_netCDF4.pyx":3182
+ /* "netCDF4/_netCDF4.pyx":3253
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*/
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__pyx_t_1 = 0;
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return __pyx_r;
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int __pyx_v_nn;
char __pyx_v_namstring[(NC_MAX_NAME + 1)];
- int __pyx_v_dimids[NC_MAX_DIMS];
+ int *__pyx_v_dimids;
PyObject *__pyx_v_dimensions = NULL;
PyObject *__pyx_v_name = NULL;
PyObject *__pyx_r = NULL;
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#endif
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+ /* "netCDF4/_netCDF4.pyx":3278
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}
- /* "netCDF4/_netCDF4.pyx":3206
- * cdef int dimids[NC_MAX_DIMS]
+ /* "netCDF4/_netCDF4.pyx":3277
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}
}
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+ /* "netCDF4/_netCDF4.pyx":3279
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
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+ /* "netCDF4/_netCDF4.pyx":3280
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+ __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 = 3280; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":3208
+ /* "netCDF4/_netCDF4.pyx":3279
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+ /* "netCDF4/_netCDF4.pyx":3281
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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#endif
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+ /* "netCDF4/_netCDF4.pyx":3284
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- * raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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if (__pyx_t_1) {
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}
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#endif
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3430; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3356
+ /* "netCDF4/_netCDF4.pyx":3429
* with nogil:
* ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
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@@ -32406,7 +33083,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3358
+ /* "netCDF4/_netCDF4.pyx":3431
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* with nogil: # <<<<<<<<<<<<<<
@@ -32420,7 +33097,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3359
+ /* "netCDF4/_netCDF4.pyx":3432
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* with nogil:
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}
- /* "netCDF4/_netCDF4.pyx":3358
+ /* "netCDF4/_netCDF4.pyx":3431
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* with nogil: # <<<<<<<<<<<<<<
@@ -32448,7 +33125,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
}
}
- /* "netCDF4/_netCDF4.pyx":3360
+ /* "netCDF4/_netCDF4.pyx":3433
* with nogil:
* ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
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@@ -32458,7 +33135,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":3434
* ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3434; __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_t_1 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3434; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__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 = 3361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":3360
+ /* "netCDF4/_netCDF4.pyx":3433
* with nogil:
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*/
}
- /* "netCDF4/_netCDF4.pyx":3362
+ /* "netCDF4/_netCDF4.pyx":3435
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* if ideflate: # <<<<<<<<<<<<<<
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__pyx_t_3 = (__pyx_v_ideflate != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3363
+ /* "netCDF4/_netCDF4.pyx":3436
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+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_zlib, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3364
+ /* "netCDF4/_netCDF4.pyx":3437
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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 = 3364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_ideflate_level); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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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 = 3437; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3435
* if ierr != NC_NOERR:
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* if ideflate: # <<<<<<<<<<<<<<
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*/
}
- /* "netCDF4/_netCDF4.pyx":3365
+ /* "netCDF4/_netCDF4.pyx":3438
* filtdict['zlib']=True
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* if ishuffle: # <<<<<<<<<<<<<<
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__pyx_t_3 = (__pyx_v_ishuffle != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3366
+ /* "netCDF4/_netCDF4.pyx":3439
* filtdict['complevel']=ideflate_level
* if ishuffle:
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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 = 3366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_shuffle, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3365
+ /* "netCDF4/_netCDF4.pyx":3438
* filtdict['zlib']=True
* filtdict['complevel']=ideflate_level
* if ishuffle: # <<<<<<<<<<<<<<
@@ -32558,7 +33235,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3367
+ /* "netCDF4/_netCDF4.pyx":3440
* if ishuffle:
* filtdict['shuffle']=True
* if ifletcher32: # <<<<<<<<<<<<<<
@@ -32568,16 +33245,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
__pyx_t_3 = (__pyx_v_ifletcher32 != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3368
+ /* "netCDF4/_netCDF4.pyx":3441
* filtdict['shuffle']=True
* if ifletcher32:
* filtdict['fletcher32']=True # <<<<<<<<<<<<<<
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*
*/
- if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_fletcher32, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3368; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_fletcher32, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3441; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3367
+ /* "netCDF4/_netCDF4.pyx":3440
* if ishuffle:
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* if ifletcher32: # <<<<<<<<<<<<<<
@@ -32586,7 +33263,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3369
+ /* "netCDF4/_netCDF4.pyx":3442
* if ifletcher32:
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* return filtdict # <<<<<<<<<<<<<<
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__pyx_r = __pyx_v_filtdict;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3346
+ /* "netCDF4/_netCDF4.pyx":3419
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*
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return __pyx_r;
}
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("endian", 0);
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+ /* "netCDF4/_netCDF4.pyx":3450
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*/
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+ __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 = 3450; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_3) {
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__pyx_t_2 = __pyx_t_3;
goto __pyx_L4_bool_binop_done;
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goto __pyx_L0;
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*/
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#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":3453
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}
- /* "netCDF4/_netCDF4.pyx":3379
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}
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@@ -32783,7 +33460,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
}
- /* "netCDF4/_netCDF4.pyx":3383
+ /* "netCDF4/_netCDF4.pyx":3456
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -32793,7 +33470,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
switch (__pyx_v_iendian) {
case NC_ENDIAN_LITTLE:
- /* "netCDF4/_netCDF4.pyx":3384
+ /* "netCDF4/_netCDF4.pyx":3457
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE:
* return 'little' # <<<<<<<<<<<<<<
@@ -32805,7 +33482,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_little;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3383
+ /* "netCDF4/_netCDF4.pyx":3456
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -32814,7 +33491,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
break;
- /* "netCDF4/_netCDF4.pyx":3385
+ /* "netCDF4/_netCDF4.pyx":3458
* if iendian == NC_ENDIAN_LITTLE:
* return 'little'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -32823,7 +33500,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
case NC_ENDIAN_BIG:
- /* "netCDF4/_netCDF4.pyx":3386
+ /* "netCDF4/_netCDF4.pyx":3459
* return 'little'
* elif iendian == NC_ENDIAN_BIG:
* return 'big' # <<<<<<<<<<<<<<
@@ -32835,7 +33512,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_big;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3385
+ /* "netCDF4/_netCDF4.pyx":3458
* if iendian == NC_ENDIAN_LITTLE:
* return 'little'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -32845,7 +33522,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
default:
- /* "netCDF4/_netCDF4.pyx":3388
+ /* "netCDF4/_netCDF4.pyx":3461
* return 'big'
* else:
* return 'native' # <<<<<<<<<<<<<<
@@ -32859,7 +33536,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
}
- /* "netCDF4/_netCDF4.pyx":3371
+ /* "netCDF4/_netCDF4.pyx":3444
* return filtdict
*
* def endian(self): # <<<<<<<<<<<<<<
@@ -32879,7 +33556,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":3390
+/* "netCDF4/_netCDF4.pyx":3463
* return 'native'
*
* def chunking(self): # <<<<<<<<<<<<<<
@@ -32922,22 +33599,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("chunking", 0);
- /* "netCDF4/_netCDF4.pyx":3400
+ /* "netCDF4/_netCDF4.pyx":3473
* 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 = 3400; __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 = 3473; __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 = 3400; __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 = 3473; __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 = 3400; __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 = 3473; __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;
@@ -32949,17 +33626,17 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":3401
+ /* "netCDF4/_netCDF4.pyx":3474
* 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 = 3401; __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 = 3474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_ndims = __pyx_t_4;
- /* "netCDF4/_netCDF4.pyx":3402
+ /* "netCDF4/_netCDF4.pyx":3475
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims) # <<<<<<<<<<<<<<
@@ -32968,7 +33645,7 @@ 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":3403
+ /* "netCDF4/_netCDF4.pyx":3476
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil: # <<<<<<<<<<<<<<
@@ -32982,7 +33659,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3404
+ /* "netCDF4/_netCDF4.pyx":3477
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil:
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@@ -32992,7 +33669,7 @@ 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":3403
+ /* "netCDF4/_netCDF4.pyx":3476
* ndims = self.ndim
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* with nogil: # <<<<<<<<<<<<<<
@@ -33010,7 +33687,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
}
}
- /* "netCDF4/_netCDF4.pyx":3405
+ /* "netCDF4/_netCDF4.pyx":3478
* with nogil:
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -33020,7 +33697,7 @@ 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":3406
+ /* "netCDF4/_netCDF4.pyx":3479
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -33028,22 +33705,22 @@ 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 = 3406; __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 = 3479; __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 = 3406; __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 = 3479; __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;
- __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 = 3406; __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 = 3479; __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 = 3406; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3405
+ /* "netCDF4/_netCDF4.pyx":3478
* with nogil:
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -33052,19 +33729,19 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
}
- /* "netCDF4/_netCDF4.pyx":3407
+ /* "netCDF4/_netCDF4.pyx":3480
* 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 = 3407; __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 = 3480; __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":3408
+ /* "netCDF4/_netCDF4.pyx":3481
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* chunksizes=[]
* for n from 0 <= n < ndims: # <<<<<<<<<<<<<<
@@ -33074,20 +33751,20 @@ 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":3409
+ /* "netCDF4/_netCDF4.pyx":3482
* 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 = 3409; __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 = 3482; __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 = 3409; __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 = 3482; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
}
- /* "netCDF4/_netCDF4.pyx":3410
+ /* "netCDF4/_netCDF4.pyx":3483
* for n from 0 <= n < ndims:
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* free(chunksizesp) # <<<<<<<<<<<<<<
@@ -33096,7 +33773,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
free(__pyx_v_chunksizesp);
- /* "netCDF4/_netCDF4.pyx":3411
+ /* "netCDF4/_netCDF4.pyx":3484
* chunksizes.append(chunksizesp[n])
* free(chunksizesp)
* if icontiguous: # <<<<<<<<<<<<<<
@@ -33106,7 +33783,7 @@ 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":3412
+ /* "netCDF4/_netCDF4.pyx":3485
* free(chunksizesp)
* if icontiguous:
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@@ -33118,7 +33795,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
__pyx_r = __pyx_n_s_contiguous;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3411
+ /* "netCDF4/_netCDF4.pyx":3484
* chunksizes.append(chunksizesp[n])
* free(chunksizesp)
* if icontiguous: # <<<<<<<<<<<<<<
@@ -33127,7 +33804,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
*/
}
- /* "netCDF4/_netCDF4.pyx":3414
+ /* "netCDF4/_netCDF4.pyx":3487
* return 'contiguous'
* else:
* return chunksizes # <<<<<<<<<<<<<<
@@ -33141,7 +33818,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":3390
+ /* "netCDF4/_netCDF4.pyx":3463
* return 'native'
*
* def chunking(self): # <<<<<<<<<<<<<<
@@ -33162,7 +33839,7 @@ 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): # <<<<<<<<<<<<<<
@@ -33204,7 +33881,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("get_var_chunk_cache", 0);
- /* "netCDF4/_netCDF4.pyx":3426
+ /* "netCDF4/_netCDF4.pyx":3499
* cdef size_t sizep, nelemsp
* cdef float preemptionp
* with nogil: # <<<<<<<<<<<<<<
@@ -33218,7 +33895,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3427
+ /* "netCDF4/_netCDF4.pyx":3500
* cdef float preemptionp
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@@ -33228,7 +33905,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
__pyx_v_ierr = nc_get_var_chunk_cache(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_sizep), (&__pyx_v_nelemsp), (&__pyx_v_preemptionp));
}
- /* "netCDF4/_netCDF4.pyx":3426
+ /* "netCDF4/_netCDF4.pyx":3499
* cdef size_t sizep, nelemsp
* cdef float preemptionp
* with nogil: # <<<<<<<<<<<<<<
@@ -33246,7 +33923,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
}
}
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+ /* "netCDF4/_netCDF4.pyx":3502
* ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
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@@ -33256,7 +33933,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":3430
+ /* "netCDF4/_netCDF4.pyx":3503
* &nelemsp, &preemptionp)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -33264,22 +33941,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
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*/
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PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3);
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goto __pyx_L0;
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return __pyx_r;
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+ __pyx_t_9 = __Pyx_PyInt_As_size_t(__pyx_v_size_orig); if (unlikely((__pyx_t_9 == (size_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3522; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_11, 0+1, __pyx_t_3);
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goto __pyx_L0;
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}
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goto __pyx_L0;
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+ __Pyx_RaiseArgtupleInvalid("renameAttribute", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3588; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_XGOTREF(__pyx_t_12);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3627
+ /* "netCDF4/_netCDF4.pyx":3700
* # is scalar missing value a NaN?
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* mvalisnan = False
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_INCREF(__pyx_v_mval);
__Pyx_GIVEREF(__pyx_v_mval);
PyTuple_SET_ITEM(__pyx_t_3, 0+1, __pyx_v_mval);
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__pyx_v_mvalisnan = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3626
+ /* "netCDF4/_netCDF4.pyx":3699
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__Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
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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 = 3701; __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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goto __pyx_L12_except_error;
__pyx_L12_except_error:;
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+ /* "netCDF4/_netCDF4.pyx":3699
* hasmval = data==mval
* # is scalar missing value a NaN?
* try: # <<<<<<<<<<<<<<
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__pyx_L17_try_end:;
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goto __pyx_L9;
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- /* "netCDF4/_netCDF4.pyx":3631
+ /* "netCDF4/_netCDF4.pyx":3704
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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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 = 3704; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
__pyx_t_7 = NULL;
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__pyx_t_6 = 1;
}
}
- __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3631; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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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if (__pyx_t_7) {
__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_GOTREF(__pyx_t_3);
__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;
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+ /* "netCDF4/_netCDF4.pyx":3705
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* hasmval = numpy.zeros(data.shape, numpy.bool)
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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);
- __pyx_t_14 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_14)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_14 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_14)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3705; __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 = 3632; __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 = 3705; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (exc_type) {
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__Pyx_XDECREF_SET(__pyx_v_m, __pyx_t_1);
__pyx_t_1 = 0;
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__Pyx_XDECREF_SET(__pyx_v_mask, __pyx_t_1);
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goto __pyx_L42;
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goto __pyx_L42;
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__pyx_t_9 = (__pyx_t_8 != 0);
if (__pyx_t_9) {
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__Pyx_DECREF_SET(__pyx_v_totalmask, __pyx_t_2);
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+ /* "netCDF4/_netCDF4.pyx":3779
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+ /* "netCDF4/_netCDF4.pyx":3850
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__Pyx_GIVEREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 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 = 3776; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* free(vldata) # <<<<<<<<<<<<<<
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free(__pyx_v_vldata);
}
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+ /* "netCDF4/_netCDF4.pyx":3853
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+ *
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+
+ /* "netCDF4/_netCDF4.pyx":3854
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+ * free(countp) # <<<<<<<<<<<<<<
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*/
/* function exit code */
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":3779
- * free(vldata)
+/* "netCDF4/_netCDF4.pyx":3856
+ * free(countp)
*
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__Pyx_INCREF(__pyx_v_elem);
__Pyx_INCREF(__pyx_v_data);
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- __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_self->_isvlen); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3786; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3864
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":3870
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@@ -39577,19 +40290,19 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
goto __pyx_L7_bool_binop_done;
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+ /* "netCDF4/_netCDF4.pyx":3870
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__pyx_L7_bool_binop_done:;
if (__pyx_t_3) {
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__Pyx_DECREF_SET(__pyx_v_elem, __pyx_int_0);
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*/
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@@ -39652,13 +40365,13 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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__pyx_L16_bool_binop_done:;
if (__pyx_t_1) {
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+ /* "netCDF4/_netCDF4.pyx":3890
+ * # issue 458, allow Ellipsis to be used for scalar var
* if type(elem) == type(Ellipsis) and not\
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* if not hasattr(data,'ndim') or data.dtype.kind != 'O':
* # issue 458, allow Ellipsis to be used for scalar var
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- * len(self.dimensions):
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+ /* "netCDF4/_netCDF4.pyx":3891
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+ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_assign_vlen); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3891; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
}
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+ __pyx_t_6 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3891; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_2); __pyx_t_2 = NULL;
@@ -40010,14 +40723,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
__Pyx_INCREF(__pyx_v_data);
__Pyx_GIVEREF(__pyx_v_data);
PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_4, __pyx_v_data);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3892
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__pyx_r = 0;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3810
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+ /* "netCDF4/_netCDF4.pyx":3863
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+ /* "netCDF4/_netCDF4.pyx":3896
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+ __pyx_t_1 = PyObject_HasAttr(__pyx_v_data, __pyx_n_s_ndim); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3896; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3898
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goto __pyx_L21_next_or;
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+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self->dtype, __pyx_n_s_kind); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3898; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
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+ __pyx_t_1 = (__Pyx_PySequence_ContainsTF(__pyx_t_5, __pyx_n_s_iu, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3898; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -40079,14 +40792,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
} else {
}
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+ /* "netCDF4/_netCDF4.pyx":3899
* # if auto scaling is to be done, don't cast to an integer yet.
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+ __pyx_t_3 = PyObject_HasAttr(((PyObject *)__pyx_v_self), __pyx_n_s_scale_factor); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3899; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -40094,12 +40807,12 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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if (__pyx_t_8) {
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+ /* "netCDF4/_netCDF4.pyx":3900
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@@ -40137,7 +40850,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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}
- __pyx_t_9 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_9 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3900; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -40148,14 +40861,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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+ __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s_numpy); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3902; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -40201,7 +40914,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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@@ -40210,7 +40923,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable_48__setitem__(struct __pyx_obj_
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__Pyx_GIVEREF(__pyx_n_s_O);
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* #ierr = nc_put_vars(self._grpid, self._varid,
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*/
}
- /* "netCDF4/_netCDF4.pyx":4185
+ /* "netCDF4/_netCDF4.pyx":4264
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* # free the pointer array.
* free(vldata) # <<<<<<<<<<<<<<
- *
- * def _get(self,start,count,stride):
+ * free(startp)
+ * free(countp)
*/
free(__pyx_v_vldata);
}
__pyx_L44:;
- /* "netCDF4/_netCDF4.pyx":4130
+ /* "netCDF4/_netCDF4.pyx":4209
* if ierr != NC_NOERR:
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}
__pyx_L9:;
- /* "netCDF4/_netCDF4.pyx":4053
+ /* "netCDF4/_netCDF4.pyx":4265
+ * # free the pointer array.
+ * free(vldata)
+ * free(startp) # <<<<<<<<<<<<<<
+ * free(countp)
+ * free(stridep)
+ */
+ free(__pyx_v_startp);
+
+ /* "netCDF4/_netCDF4.pyx":4266
+ * free(vldata)
+ * free(startp)
+ * free(countp) # <<<<<<<<<<<<<<
+ * free(stridep)
+ *
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+ free(__pyx_v_countp);
+
+ /* "netCDF4/_netCDF4.pyx":4267
+ * free(startp)
+ * free(countp)
+ * free(stridep) # <<<<<<<<<<<<<<
+ *
+ * def _get(self,start,count,stride):
+ */
+ free(__pyx_v_stridep);
+
+ /* "netCDF4/_netCDF4.pyx":4129
*
*
* def _put(self,ndarray data,start,count,stride): # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":4187
- * free(vldata)
+/* "netCDF4/_netCDF4.pyx":4269
+ * free(stridep)
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+ __Pyx_RaiseArgtupleInvalid("_get", 1, 3, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4269; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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int __pyx_v_ierr;
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__Pyx_XDECREF_SET(__pyx_v_lendim, __pyx_t_4);
__pyx_t_4 = 0;
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+ __pyx_t_4 = PyNumber_Add(__pyx_v_shapeout, __pyx_tuple__83); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4286; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF_SET(__pyx_v_shapeout, __pyx_t_4);
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__pyx_v_squeeze_out = 1;
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goto __pyx_L5;
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goto __pyx_L33;
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); __pyx_t_8 = NULL;
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_1); __pyx_t_1 = NULL;
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__Pyx_DECREF_SET(__pyx_v_formats, __pyx_t_7);
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); __pyx_t_8 = NULL;
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__Pyx_GIVEREF(__pyx_v_offsets);
PyTuple_SET_ITEM(__pyx_t_1, 2+__pyx_t_9, __pyx_v_offsets);
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+ /* "netCDF4/_netCDF4.pyx":4492
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__Pyx_DECREF_SET(__pyx_v_bytestr, __pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":4494
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__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
- /* "netCDF4/_netCDF4.pyx":4403
+ /* "netCDF4/_netCDF4.pyx":4497
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__Pyx_GOTREF(__pyx_t_8);
__Pyx_GOTREF(__pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":4498
* xtype_tmp = _nptonctype[format.str[1:]]
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+ /* "netCDF4/_netCDF4.pyx":4501
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+ /* "netCDF4/_netCDF4.pyx":4520
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__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_GOTREF(__pyx_t_12);
__Pyx_GOTREF(__pyx_t_8);
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+ /* "netCDF4/_netCDF4.pyx":4519
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+ __pyx_t_6 = PyObject_RichCompare(__pyx_v_formats1, __pyx_v_formats2, Py_EQ); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4554; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_13 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_13 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4554; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":4555
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*/
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+ /* "netCDF4/_netCDF4.pyx":4556
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*/
goto __pyx_L4_break;
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+ /* "netCDF4/_netCDF4.pyx":4554
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*/
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- /* "netCDF4/_netCDF4.pyx":4451
+ /* "netCDF4/_netCDF4.pyx":4547
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__pyx_L4_break:;
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+ /* "netCDF4/_netCDF4.pyx":4557
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__Pyx_XGOTREF(__pyx_t_16);
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":4559
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_parent); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4559; __pyx_clineno = __LINE__; goto __pyx_L15_error;}
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__pyx_v_parent_grp = __pyx_t_3;
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__Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4560
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+ if (__Pyx_GetException(&__pyx_t_3, &__pyx_t_6, &__pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4560; __pyx_clineno = __LINE__; goto __pyx_L17_except_error;}
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_1);
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__pyx_L22_try_end:;
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+ /* "netCDF4/_netCDF4.pyx":4562
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+ /* "netCDF4/_netCDF4.pyx":4563
* raise ValueError("cannot find compound type in this group or parent groups")
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+ /* "netCDF4/_netCDF4.pyx":4562
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*/
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- /* "netCDF4/_netCDF4.pyx":4469
+ /* "netCDF4/_netCDF4.pyx":4565
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*/
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+ /* "netCDF4/_netCDF4.pyx":4566
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+ /* "netCDF4/_netCDF4.pyx":4542
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return __pyx_r;
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size_t __pyx_v_offset;
nc_type __pyx_v_field_typeid;
- int __pyx_v_dim_sizes[NC_MAX_DIMS];
+ int *__pyx_v_dim_sizes;
char __pyx_v_field_namstring[(NC_MAX_NAME + 1)];
char __pyx_v_cmp_namstring[(NC_MAX_NAME + 1)];
PyObject *__pyx_v_name = NULL;
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#endif
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#endif
/*try:*/ {
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__Pyx_XDECREF_SET(__pyx_v_field_shape, __pyx_empty_tuple);
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+ /* "netCDF4/_netCDF4.pyx":4620
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* field_shape = ()
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* field_shape = ()
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* for ndim from 0 <= ndim < numdims: # <<<<<<<<<<<<<<
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for (__pyx_v_ndim = 0; __pyx_v_ndim < __pyx_t_2; __pyx_v_ndim++) {
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1);
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+ __pyx_t_1 = PyNumber_Add(__pyx_v_field_shape, __pyx_t_10); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_1 = 0;
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- /* "netCDF4/_netCDF4.pyx":4512
+ /* "netCDF4/_netCDF4.pyx":4620
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*/
}
- /* "netCDF4/_netCDF4.pyx":4516
+ /* "netCDF4/_netCDF4.pyx":4623
+ * for ndim from 0 <= ndim < numdims:
* field_shape = field_shape + (dim_sizes[ndim],)
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+ * try:
+ */
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+
+ /* "netCDF4/_netCDF4.pyx":4625
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__Pyx_XGOTREF(__pyx_t_15);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4517
+ /* "netCDF4/_netCDF4.pyx":4626
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+ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_nctonptype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4626; __pyx_clineno = __LINE__; goto __pyx_L24_error;}
__Pyx_GOTREF(__pyx_t_1);
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+ __pyx_t_10 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_field_typeid, nc_type, 1, __Pyx_PyInt_From_nc_type, 0, 1, 1); if (unlikely(__pyx_t_10 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4626; __pyx_clineno = __LINE__; goto __pyx_L24_error;};
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF_SET(__pyx_v_field_type, __pyx_t_10);
__pyx_t_10 = 0;
- /* "netCDF4/_netCDF4.pyx":4518
+ /* "netCDF4/_netCDF4.pyx":4627
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__pyx_t_16 = (__pyx_t_3 != 0);
if (__pyx_t_16) {
- /* "netCDF4/_netCDF4.pyx":4519
+ /* "netCDF4/_netCDF4.pyx":4628
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+ if (unlikely(!__pyx_v_format)) { __Pyx_RaiseUnboundLocalError("format"); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4628; __pyx_clineno = __LINE__; goto __pyx_L24_error;} }
+ __pyx_t_10 = PyNumber_Add(__pyx_v_endian, __pyx_v_format); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4628; __pyx_clineno = __LINE__; goto __pyx_L24_error;}
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__Pyx_XDECREF_SET(__pyx_v_format, __pyx_t_10);
__pyx_t_10 = 0;
- /* "netCDF4/_netCDF4.pyx":4518
+ /* "netCDF4/_netCDF4.pyx":4627
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*/
}
- /* "netCDF4/_netCDF4.pyx":4516
- * field_shape = field_shape + (dim_sizes[ndim],)
+ /* "netCDF4/_netCDF4.pyx":4625
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* # check to see if this field is a nested compound type.
* try: # <<<<<<<<<<<<<<
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__Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
- goto __pyx_L25_try_end;
- __pyx_L18_error:;
+ goto __pyx_L31_try_end;
+ __pyx_L24_error:;
__Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
- /* "netCDF4/_netCDF4.pyx":4520
+ /* "netCDF4/_netCDF4.pyx":4629
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+ if (__Pyx_GetException(&__pyx_t_10, &__pyx_t_1, &__pyx_t_8) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4629; __pyx_clineno = __LINE__; goto __pyx_L26_except_error;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_8);
- /* "netCDF4/_netCDF4.pyx":4521
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#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":4631
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}
- /* "netCDF4/_netCDF4.pyx":4521
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#ifdef WITH_THREAD
Py_BLOCK_THREADS
#endif
- goto __pyx_L33;
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__pyx_t_16 = ((__pyx_v_classp == NC_COMPOUND) != 0);
if (__pyx_t_16) {
- /* "netCDF4/_netCDF4.pyx":4526
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+ __pyx_t_7 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_field_typeid, &__pyx_t_17); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4635; __pyx_clineno = __LINE__; goto __pyx_L26_except_error;}
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__Pyx_XDECREF_SET(__pyx_v_field_type, __pyx_t_7);
__pyx_t_7 = 0;
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+ __pyx_t_7 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__94, NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4637; __pyx_clineno = __LINE__; goto __pyx_L26_except_error;}
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__Pyx_ExceptionReset(__pyx_t_13, __pyx_t_14, __pyx_t_15);
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__Pyx_XGIVEREF(__pyx_t_14);
__Pyx_XGIVEREF(__pyx_t_15);
__Pyx_ExceptionReset(__pyx_t_13, __pyx_t_14, __pyx_t_15);
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+ __pyx_t_8 = PyObject_RichCompare(__pyx_v_field_shape, __pyx_empty_tuple, Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4638; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_16) {
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goto __pyx_L3;
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__Pyx_GIVEREF(__pyx_t_1);
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__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -52992,14 +53957,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_vlen(PyObject *__pyx_v_group,
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__pyx_t_5 = 0;
__pyx_t_7 = 0;
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__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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+ /* "netCDF4/_netCDF4.pyx":4756
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XGOTREF(__pyx_t_13);
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+ /* "netCDF4/_netCDF4.pyx":4757
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- __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_nctonptype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4649; __pyx_clineno = __LINE__; goto __pyx_L8_error;}
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__pyx_v_datatype = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4650
+ /* "netCDF4/_netCDF4.pyx":4758
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__pyx_t_14 = (__pyx_t_3 != 0);
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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_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_dtype); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4759; __pyx_clineno = __LINE__; goto __pyx_L8_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_GOTREF(__pyx_t_7);
__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_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_v_dt = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4756
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4760
* 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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+ if (__Pyx_GetException(&__pyx_t_6, &__pyx_t_10, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4760; __pyx_clineno = __LINE__; goto __pyx_L10_except_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_GIVEREF(__pyx_v_name);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
@@ -53185,7 +54150,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_vlen(PyObject *__pyx_v_group,
__pyx_t_6 = 0;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":4851
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__Pyx_INCREF(__pyx_t_4);
__Pyx_GIVEREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_4);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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*/
}
- /* "netCDF4/_netCDF4.pyx":4738
+ /* "netCDF4/_netCDF4.pyx":4846
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}
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- /* "netCDF4/_netCDF4.pyx":4746
+ /* "netCDF4/_netCDF4.pyx":4854
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+ __pyx_t_3 = __Pyx_PyInt_From_nc_type(__pyx_v_xtype); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4854; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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":4826
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return __pyx_r;
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+/* "netCDF4/_netCDF4.pyx":4856
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}
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+ /* "netCDF4/_netCDF4.pyx":4866
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+ /* "netCDF4/_netCDF4.pyx":4868
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#endif
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+ /* "netCDF4/_netCDF4.pyx":4869
* # get name, datatype, and number of members.
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+ /* "netCDF4/_netCDF4.pyx":4868
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+ /* "netCDF4/_netCDF4.pyx":4871
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if (__pyx_t_3) {
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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;
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@@ -54764,7 +55729,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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@@ -54775,14 +55740,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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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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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4767
+ /* "netCDF4/_netCDF4.pyx":4875
* name = enum_namstring.decode(default_encoding,unicode_error)
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__Pyx_GOTREF(__pyx_t_1);
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+ /* "netCDF4/_netCDF4.pyx":4876
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__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
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* datatype = _nctonptype[base_xtype]
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__Pyx_INCREF(__pyx_v_datatype);
__Pyx_GIVEREF(__pyx_v_datatype);
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__pyx_v_dt = __pyx_t_6;
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4874
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4878
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_7);
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__pyx_L14_try_end:;
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for (__pyx_v_nmem = 0; __pyx_v_nmem < __pyx_t_15; __pyx_v_nmem++) {
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+ /* "netCDF4/_netCDF4.pyx":4883
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+ /* "netCDF4/_netCDF4.pyx":4886
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dates, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
__pyx_v_ismasked = 0;
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*/
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__Pyx_XDECREF_SET(__pyx_v_time, __pyx_t_4);
__pyx_t_4 = 0;
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+ /* "netCDF4/_netCDF4.pyx":5156
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goto __pyx_L31_bool_binop_done;
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goto __pyx_L0;
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return __pyx_r;
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_file_format_2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_dset, __pyx_n_s_file_format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_8 = __Pyx_PyObject_Append(__pyx_t_6, __pyx_t_4); if (unlikely(__pyx_t_8 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- * raise ValueError('MFNetCDF4 only works with NETCDF3_CLASSIC, NETCDF3_64BIT and NETCDF4_CLASSIC formatted files, not NETCDF4')
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- /* "netCDF4/_netCDF4.pyx":5340
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+ if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_path_2, __pyx_kp_s__16) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5448; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __Pyx_RaiseArgtupleInvalid("__setattr__", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5450; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_XDECREF_SET(__pyx_v_value, __pyx_t_6);
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- /* "netCDF4/_netCDF4.pyx":5620
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__pyx_t_1 = __pyx_t_3; __Pyx_INCREF(__pyx_t_1); __pyx_t_4 = 0;
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+ __pyx_t_5 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5728; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_1)) break;
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if (exc_type) {
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- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5620; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_3);
__pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":5621
+ /* "netCDF4/_netCDF4.pyx":5729
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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 = 5621; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 5729; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = ((!(__pyx_t_9 != 0)) != 0);
if (__pyx_t_10) {
- /* "netCDF4/_netCDF4.pyx":5622
+ /* "netCDF4/_netCDF4.pyx":5730
* for t in self._recVar:
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__124, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5730; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":5621
+ /* "netCDF4/_netCDF4.pyx":5729
* # make sure calendar attribute present in all files.
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":5625
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- __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5625; __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 = 5733; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF_SET(__pyx_v_i0, __pyx_t_2);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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goto __pyx_L5_argtuple_error;
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__pyx_tp_clear_7netCDF4_8_netCDF4_Dataset, /*tp_clear*/
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}
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+}
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+ }
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+ return -1;
+ }
+}
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static PyObject *__pyx_getprop_7netCDF4_8_netCDF4_9Dimension__dimid(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7netCDF4_8_netCDF4_9Dimension_6_dimid_1__get__(o);
}
@@ -70611,6 +71590,7 @@ static PyMethodDef __pyx_methods_7netCDF4_8_netCDF4_Dimension[] = {
static struct PyGetSetDef __pyx_getsets_7netCDF4_8_netCDF4_Dimension[] = {
{(char *)"name", __pyx_getprop_7netCDF4_8_netCDF4_9Dimension_name, __pyx_setprop_7netCDF4_8_netCDF4_9Dimension_name, __pyx_k_string_name_of_Dimension_instanc, 0},
+ {(char *)"size", __pyx_getprop_7netCDF4_8_netCDF4_9Dimension_size, __pyx_setprop_7netCDF4_8_netCDF4_9Dimension_size, __pyx_k_current_size_of_Dimension_calls, 0},
{(char *)"_dimid", __pyx_getprop_7netCDF4_8_netCDF4_9Dimension__dimid, __pyx_setprop_7netCDF4_8_netCDF4_9Dimension__dimid, 0, 0},
{(char *)"_grpid", __pyx_getprop_7netCDF4_8_netCDF4_9Dimension__grpid, __pyx_setprop_7netCDF4_8_netCDF4_9Dimension__grpid, 0, 0},
{(char *)"_data_model", __pyx_getprop_7netCDF4_8_netCDF4_9Dimension__data_model, __pyx_setprop_7netCDF4_8_netCDF4_9Dimension__data_model, 0, 0},
@@ -70664,7 +71644,7 @@ static PyTypeObject __pyx_type_7netCDF4_8_netCDF4_Dimension = {
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
- "\nA netCDF `netCDF4.Dimension` is used to describe the coordinates of a `netCDF4.Variable`.\nSee `netCDF4.Dimension.__init__` for more details.\n\nThe current maximum size of a `netCDF4.Dimension` instance can be obtained by\ncalling the python `len` function on the `netCDF4.Dimension` instance. The\n`netCDF4.Dimension.isunlimited` method of a `netCDF4.Dimension` instance can be used to\ndetermine if the dimension is unlimited.\n\nRead-only class variables:\n\n**`name`**: String name, [...]
+ "\nA netCDF `netCDF4.Dimension` is used to describe the coordinates of a `netCDF4.Variable`.\nSee `netCDF4.Dimension.__init__` for more details.\n\nThe current maximum size of a `netCDF4.Dimension` instance can be obtained by\ncalling the python `len` function on the `netCDF4.Dimension` instance. The\n`netCDF4.Dimension.isunlimited` method of a `netCDF4.Dimension` instance can be used to\ndetermine if the dimension is unlimited.\n\nRead-only class variables:\n\n**`name`**: String name, [...]
__pyx_tp_traverse_7netCDF4_8_netCDF4_Dimension, /*tp_traverse*/
__pyx_tp_clear_7netCDF4_8_netCDF4_Dimension, /*tp_clear*/
0, /*tp_richcompare*/
@@ -71795,6 +72775,117 @@ static PyTypeObject __pyx_type_7netCDF4_8_netCDF4_EnumType = {
#endif
};
+static struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *__pyx_freelist_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr[8];
+static int __pyx_freecount_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr = 0;
+
+static PyObject *__pyx_tp_new_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
+ PyObject *o;
+ if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr)))) {
+ o = (PyObject*)__pyx_freelist_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr[--__pyx_freecount_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr];
+ memset(o, 0, sizeof(struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr));
+ (void) PyObject_INIT(o, t);
+ PyObject_GC_Track(o);
+ } else {
+ o = (*t->tp_alloc)(t, 0);
+ if (unlikely(!o)) return 0;
+ }
+ return o;
+}
+
+static void __pyx_tp_dealloc_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr(PyObject *o) {
+ struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *p = (struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *)o;
+ PyObject_GC_UnTrack(o);
+ Py_CLEAR(p->__pyx_v_k);
+ Py_CLEAR(p->__pyx_v_v);
+ if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr)))) {
+ __pyx_freelist_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr[__pyx_freecount_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr++] = ((struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *)o);
+ } else {
+ (*Py_TYPE(o)->tp_free)(o);
+ }
+}
+
+static int __pyx_tp_traverse_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr(PyObject *o, visitproc v, void *a) {
+ int e;
+ struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *p = (struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *)o;
+ if (p->__pyx_v_k) {
+ e = (*v)(p->__pyx_v_k, a); if (e) return e;
+ }
+ if (p->__pyx_v_v) {
+ e = (*v)(p->__pyx_v_v, a); if (e) return e;
+ }
+ return 0;
+}
+
+static int __pyx_tp_clear_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr(PyObject *o) {
+ PyObject* tmp;
+ struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *p = (struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr *)o;
+ tmp = ((PyObject*)p->__pyx_v_k);
+ p->__pyx_v_k = Py_None; Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->__pyx_v_v);
+ p->__pyx_v_v = Py_None; Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ return 0;
+}
+
+static PyTypeObject __pyx_type_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr = {
+ PyVarObject_HEAD_INIT(0, 0)
+ "netCDF4._netCDF4.__pyx_scope_struct__genexpr", /*tp_name*/
+ sizeof(struct __pyx_obj_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr), /*tp_basicsize*/
+ 0, /*tp_itemsize*/
+ __pyx_tp_dealloc_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr, /*tp_dealloc*/
+ 0, /*tp_print*/
+ 0, /*tp_getattr*/
+ 0, /*tp_setattr*/
+ #if PY_MAJOR_VERSION < 3
+ 0, /*tp_compare*/
+ #endif
+ #if PY_MAJOR_VERSION >= 3
+ 0, /*tp_as_async*/
+ #endif
+ 0, /*tp_repr*/
+ 0, /*tp_as_number*/
+ 0, /*tp_as_sequence*/
+ 0, /*tp_as_mapping*/
+ 0, /*tp_hash*/
+ 0, /*tp_call*/
+ 0, /*tp_str*/
+ 0, /*tp_getattro*/
+ 0, /*tp_setattro*/
+ 0, /*tp_as_buffer*/
+ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
+ 0, /*tp_doc*/
+ __pyx_tp_traverse_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr, /*tp_traverse*/
+ __pyx_tp_clear_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr, /*tp_clear*/
+ 0, /*tp_richcompare*/
+ 0, /*tp_weaklistoffset*/
+ 0, /*tp_iter*/
+ 0, /*tp_iternext*/
+ 0, /*tp_methods*/
+ 0, /*tp_members*/
+ 0, /*tp_getset*/
+ 0, /*tp_base*/
+ 0, /*tp_dict*/
+ 0, /*tp_descr_get*/
+ 0, /*tp_descr_set*/
+ 0, /*tp_dictoffset*/
+ 0, /*tp_init*/
+ 0, /*tp_alloc*/
+ __pyx_tp_new_7netCDF4_8_netCDF4___pyx_scope_struct__genexpr, /*tp_new*/
+ 0, /*tp_free*/
+ 0, /*tp_is_gc*/
+ 0, /*tp_bases*/
+ 0, /*tp_mro*/
+ 0, /*tp_cache*/
+ 0, /*tp_subclasses*/
+ 0, /*tp_weaklist*/
+ 0, /*tp_del*/
+ 0, /*tp_version_tag*/
+ #if PY_VERSION_HEX >= 0x030400a1
+ 0, /*tp_finalize*/
+ #endif
+};
+
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
@@ -71807,7 +72898,7 @@ static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
#endif
"_netCDF4",
- __pyx_k_Version_1_2_1_Introduction_netc, /* m_doc */
+ __pyx_k_Version_1_2_2_Introduction_netc, /* m_doc */
-1, /* m_size */
__pyx_methods /* m_methods */,
NULL, /* m_reload */
@@ -71821,8 +72912,9 @@ 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_1, __pyx_k_1_2_1, sizeof(__pyx_k_1_2_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_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},
{&__pyx_kp_s_A_numpy_dtype_object_describing, __pyx_k_A_numpy_dtype_object_describing, sizeof(__pyx_k_A_numpy_dtype_object_describing), 0, 0, 1, 0},
{&__pyx_kp_s_A_numpy_dtype_object_describing_2, __pyx_k_A_numpy_dtype_object_describing_2, sizeof(__pyx_k_A_numpy_dtype_object_describing_2), 0, 0, 1, 0},
@@ -71894,6 +72986,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_NC_DISKLESS, __pyx_k_NC_DISKLESS, sizeof(__pyx_k_NC_DISKLESS), 0, 0, 1, 1},
{&__pyx_n_s_NETCDF3, __pyx_k_NETCDF3, sizeof(__pyx_k_NETCDF3), 0, 0, 1, 1},
{&__pyx_n_s_NETCDF3_64BIT, __pyx_k_NETCDF3_64BIT, sizeof(__pyx_k_NETCDF3_64BIT), 0, 0, 1, 1},
+ {&__pyx_n_s_NETCDF3_64BIT_OFFSET, __pyx_k_NETCDF3_64BIT_OFFSET, sizeof(__pyx_k_NETCDF3_64BIT_OFFSET), 0, 0, 1, 1},
{&__pyx_n_s_NETCDF3_CLASSIC, __pyx_k_NETCDF3_CLASSIC, sizeof(__pyx_k_NETCDF3_CLASSIC), 0, 0, 1, 1},
{&__pyx_n_s_NETCDF4, __pyx_k_NETCDF4, sizeof(__pyx_k_NETCDF4), 0, 0, 1, 1},
{&__pyx_n_s_NETCDF4_CLASSIC, __pyx_k_NETCDF4_CLASSIC, sizeof(__pyx_k_NETCDF4_CLASSIC), 0, 0, 1, 1},
@@ -71915,7 +73008,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_The_vltypes_dictionary_maps_the, __pyx_k_The_vltypes_dictionary_maps_the, sizeof(__pyx_k_The_vltypes_dictionary_maps_the), 0, 0, 1, 0},
{&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1},
{&__pyx_n_s_U, __pyx_k_U, sizeof(__pyx_k_U), 0, 0, 1, 1},
- {&__pyx_n_s_U1, __pyx_k_U1, sizeof(__pyx_k_U1), 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_kp_s_Unsupported_compound_type_elemen, __pyx_k_Unsupported_compound_type_elemen, sizeof(__pyx_k_Unsupported_compound_type_elemen), 0, 0, 1, 0},
@@ -71954,19 +73046,19 @@ 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__12, __pyx_k__12, sizeof(__pyx_k__12), 0, 0, 1, 0},
- {&__pyx_kp_s__125, __pyx_k__125, sizeof(__pyx_k__125), 0, 0, 1, 0},
- {&__pyx_kp_s__13, __pyx_k__13, sizeof(__pyx_k__13), 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__17, __pyx_k__17, sizeof(__pyx_k__17), 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},
{&__pyx_kp_s__19, __pyx_k__19, sizeof(__pyx_k__19), 0, 0, 1, 0},
{&__pyx_kp_s__2, __pyx_k__2, sizeof(__pyx_k__2), 0, 0, 1, 0},
- {&__pyx_kp_s__20, __pyx_k__20, sizeof(__pyx_k__20), 0, 0, 1, 0},
+ {&__pyx_kp_s__21, __pyx_k__21, sizeof(__pyx_k__21), 0, 0, 1, 0},
{&__pyx_kp_s__22, __pyx_k__22, sizeof(__pyx_k__22), 0, 0, 1, 0},
- {&__pyx_kp_s__23, __pyx_k__23, sizeof(__pyx_k__23), 0, 0, 1, 0},
- {&__pyx_n_s__26, __pyx_k__26, sizeof(__pyx_k__26), 0, 0, 1, 1},
- {&__pyx_kp_s__33, __pyx_k__33, sizeof(__pyx_k__33), 0, 0, 1, 0},
- {&__pyx_kp_s__34, __pyx_k__34, sizeof(__pyx_k__34), 0, 0, 1, 0},
+ {&__pyx_kp_s__24, __pyx_k__24, sizeof(__pyx_k__24), 0, 0, 1, 0},
+ {&__pyx_kp_s__25, __pyx_k__25, sizeof(__pyx_k__25), 0, 0, 1, 0},
+ {&__pyx_n_s__28, __pyx_k__28, sizeof(__pyx_k__28), 0, 0, 1, 1},
+ {&__pyx_kp_s__36, __pyx_k__36, sizeof(__pyx_k__36), 0, 0, 1, 0},
+ {&__pyx_kp_s__37, __pyx_k__37, sizeof(__pyx_k__37), 0, 0, 1, 0},
{&__pyx_n_s_a, __pyx_k_a, sizeof(__pyx_k_a), 0, 0, 1, 1},
{&__pyx_n_s_add_offset, __pyx_k_add_offset, sizeof(__pyx_k_add_offset), 0, 0, 1, 1},
{&__pyx_n_s_aggDimId, __pyx_k_aggDimId, sizeof(__pyx_k_aggDimId), 0, 0, 1, 1},
@@ -71977,6 +73069,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_all, __pyx_k_all, sizeof(__pyx_k_all), 0, 0, 1, 1},
{&__pyx_n_s_any, __pyx_k_any, sizeof(__pyx_k_any), 0, 0, 1, 1},
{&__pyx_n_s_append, __pyx_k_append, sizeof(__pyx_k_append), 0, 0, 1, 1},
+ {&__pyx_n_s_args, __pyx_k_args, sizeof(__pyx_k_args), 0, 0, 1, 1},
{&__pyx_n_s_around, __pyx_k_around, sizeof(__pyx_k_around), 0, 0, 1, 1},
{&__pyx_n_s_arr, __pyx_k_arr, sizeof(__pyx_k_arr), 0, 0, 1, 1},
{&__pyx_n_s_array, __pyx_k_array, sizeof(__pyx_k_array), 0, 0, 1, 1},
@@ -72016,6 +73109,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_chartostring, __pyx_k_chartostring, sizeof(__pyx_k_chartostring), 0, 0, 1, 1},
{&__pyx_n_s_check, __pyx_k_check, sizeof(__pyx_k_check), 0, 0, 1, 1},
{&__pyx_n_s_chunk_cache, __pyx_k_chunk_cache, sizeof(__pyx_k_chunk_cache), 0, 0, 1, 1},
+ {&__pyx_kp_s_chunksize_cannot_exceed_dimensio, __pyx_k_chunksize_cannot_exceed_dimensio, sizeof(__pyx_k_chunksize_cannot_exceed_dimensio), 0, 0, 1, 0},
{&__pyx_n_s_chunksizes, __pyx_k_chunksizes, sizeof(__pyx_k_chunksizes), 0, 0, 1, 1},
{&__pyx_kp_s_chunksizes_must_be_a_sequence_wi, __pyx_k_chunksizes_must_be_a_sequence_wi, sizeof(__pyx_k_chunksizes_must_be_a_sequence_wi), 0, 0, 1, 0},
{&__pyx_n_s_clobber, __pyx_k_clobber, sizeof(__pyx_k_clobber), 0, 0, 1, 1},
@@ -72061,6 +73155,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_default_encoding, __pyx_k_default_encoding, sizeof(__pyx_k_default_encoding), 0, 0, 1, 1},
{&__pyx_n_s_default_fillvals, __pyx_k_default_fillvals, sizeof(__pyx_k_default_fillvals), 0, 0, 1, 1},
{&__pyx_n_s_delncattr, __pyx_k_delncattr, sizeof(__pyx_k_delncattr), 0, 0, 1, 1},
+ {&__pyx_kp_s_development, __pyx_k_development, sizeof(__pyx_k_development), 0, 0, 1, 0},
{&__pyx_n_s_dict, __pyx_k_dict, sizeof(__pyx_k_dict), 0, 0, 1, 1},
{&__pyx_n_s_dim, __pyx_k_dim, sizeof(__pyx_k_dim), 0, 0, 1, 1},
{&__pyx_kp_s_dimension_s_not_defined_in_group, __pyx_k_dimension_s_not_defined_in_group, sizeof(__pyx_k_dimension_s_not_defined_in_group), 0, 0, 1, 0},
@@ -72131,8 +73226,10 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_fletcher32, __pyx_k_fletcher32, sizeof(__pyx_k_fletcher32), 0, 0, 1, 1},
{&__pyx_n_s_float, __pyx_k_float, sizeof(__pyx_k_float), 0, 0, 1, 1},
{&__pyx_n_s_format, __pyx_k_format, sizeof(__pyx_k_format), 0, 0, 1, 1},
- {&__pyx_kp_s_format_must_be_NETCDF4_NETCDF4_C, __pyx_k_format_must_be_NETCDF4_NETCDF4_C, sizeof(__pyx_k_format_must_be_NETCDF4_NETCDF4_C), 0, 0, 1, 0},
+ {&__pyx_n_s_format_dict, __pyx_k_format_dict, sizeof(__pyx_k_format_dict), 0, 0, 1, 1},
+ {&__pyx_kp_s_format_not_supported_by_python_i, __pyx_k_format_not_supported_by_python_i, sizeof(__pyx_k_format_not_supported_by_python_i), 0, 0, 1, 0},
{&__pyx_n_s_formats, __pyx_k_formats, sizeof(__pyx_k_formats), 0, 0, 1, 1},
+ {&__pyx_n_s_genexpr, __pyx_k_genexpr, sizeof(__pyx_k_genexpr), 0, 0, 1, 1},
{&__pyx_n_s_get, __pyx_k_get, sizeof(__pyx_k_get), 0, 0, 1, 1},
{&__pyx_n_s_get_var_chunk_cache, __pyx_k_get_var_chunk_cache, sizeof(__pyx_k_get_var_chunk_cache), 0, 0, 1, 1},
{&__pyx_kp_u_get_variables_by_attribute_self, __pyx_k_get_variables_by_attribute_self, sizeof(__pyx_k_get_variables_by_attribute_self), 0, 1, 0, 0},
@@ -72155,6 +73252,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_grpid, __pyx_k_grpid, sizeof(__pyx_k_grpid), 0, 0, 1, 1},
{&__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_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},
@@ -72194,6 +73292,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_item, __pyx_k_item, sizeof(__pyx_k_item), 0, 0, 1, 1},
{&__pyx_n_s_items, __pyx_k_items, sizeof(__pyx_k_items), 0, 0, 1, 1},
{&__pyx_n_s_itemsize, __pyx_k_itemsize, sizeof(__pyx_k_itemsize), 0, 0, 1, 1},
+ {&__pyx_n_s_iteritems, __pyx_k_iteritems, sizeof(__pyx_k_iteritems), 0, 0, 1, 1},
{&__pyx_n_s_itertools, __pyx_k_itertools, sizeof(__pyx_k_itertools), 0, 0, 1, 1},
{&__pyx_n_s_iu, __pyx_k_iu, sizeof(__pyx_k_iu), 0, 0, 1, 1},
{&__pyx_n_s_izip, __pyx_k_izip, sizeof(__pyx_k_izip), 0, 0, 1, 1},
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{&__pyx_kp_s_name_s_size_s, __pyx_k_name_s_size_s, sizeof(__pyx_k_name_s_size_s), 0, 0, 1, 0},
{&__pyx_n_s_names, __pyx_k_names, sizeof(__pyx_k_names), 0, 0, 1, 1},
{&__pyx_n_s_native, __pyx_k_native, sizeof(__pyx_k_native), 0, 0, 1, 1},
+ {&__pyx_n_s_nbytes, __pyx_k_nbytes, sizeof(__pyx_k_nbytes), 0, 0, 1, 1},
{&__pyx_n_s_nc_type, __pyx_k_nc_type, sizeof(__pyx_k_nc_type), 0, 0, 1, 1},
{&__pyx_n_s_ncattrs, __pyx_k_ncattrs, sizeof(__pyx_k_ncattrs), 0, 0, 1, 1},
{&__pyx_n_s_ncdump, __pyx_k_ncdump, sizeof(__pyx_k_ncdump), 0, 0, 1, 1},
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{&__pyx_n_s_nctime, __pyx_k_nctime, sizeof(__pyx_k_nctime), 0, 0, 1, 1},
{&__pyx_n_s_nctonptype, __pyx_k_nctonptype, sizeof(__pyx_k_nctonptype), 0, 0, 1, 1},
{&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1},
+ {&__pyx_n_s_needsworkaround_issue485, __pyx_k_needsworkaround_issue485, sizeof(__pyx_k_needsworkaround_issue485), 0, 0, 1, 1},
{&__pyx_kp_s_negative_reference_year_in_time, __pyx_k_negative_reference_year_in_time, sizeof(__pyx_k_negative_reference_year_in_time), 0, 0, 1, 0},
{&__pyx_kp_s_negative_strides_not_allowed_whe, __pyx_k_negative_strides_not_allowed_whe, sizeof(__pyx_k_negative_strides_not_allowed_whe), 0, 0, 1, 0},
{&__pyx_n_s_nelems, __pyx_k_nelems, sizeof(__pyx_k_nelems), 0, 0, 1, 1},
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{&__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},
{&__pyx_n_s_round, __pyx_k_round, sizeof(__pyx_k_round), 0, 0, 1, 1},
{&__pyx_kp_s_s, __pyx_k_s, sizeof(__pyx_k_s), 0, 0, 1, 0},
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{&__pyx_n_s_secs, __pyx_k_secs, sizeof(__pyx_k_secs), 0, 0, 1, 1},
{&__pyx_n_s_select, __pyx_k_select, sizeof(__pyx_k_select), 0, 0, 1, 1},
{&__pyx_n_s_self, __pyx_k_self, sizeof(__pyx_k_self), 0, 0, 1, 1},
+ {&__pyx_n_s_send, __pyx_k_send, sizeof(__pyx_k_send), 0, 0, 1, 1},
{&__pyx_n_s_set_auto_mask, __pyx_k_set_auto_mask, sizeof(__pyx_k_set_auto_mask), 0, 0, 1, 1},
{&__pyx_n_s_set_auto_maskandscale, __pyx_k_set_auto_maskandscale, sizeof(__pyx_k_set_auto_maskandscale), 0, 0, 1, 1},
{&__pyx_n_s_set_auto_scale, __pyx_k_set_auto_scale, sizeof(__pyx_k_set_auto_scale), 0, 0, 1, 1},
@@ -72365,6 +73468,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__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},
{&__pyx_n_s_slen, __pyx_k_slen, sizeof(__pyx_k_slen), 0, 0, 1, 1},
{&__pyx_n_s_sortbylist, __pyx_k_sortbylist, sizeof(__pyx_k_sortbylist), 0, 0, 1, 1},
@@ -72394,6 +73498,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_t, __pyx_k_t, sizeof(__pyx_k_t), 0, 0, 1, 1},
{&__pyx_n_s_td, __pyx_k_td, sizeof(__pyx_k_td), 0, 0, 1, 1},
{&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1},
+ {&__pyx_n_s_throw, __pyx_k_throw, sizeof(__pyx_k_throw), 0, 0, 1, 1},
{&__pyx_n_s_tile, __pyx_k_tile, sizeof(__pyx_k_tile), 0, 0, 1, 1},
{&__pyx_n_s_time, __pyx_k_time, sizeof(__pyx_k_time), 0, 0, 1, 1},
{&__pyx_n_s_time2index, __pyx_k_time2index, sizeof(__pyx_k_time2index), 0, 0, 1, 1},
@@ -72427,6 +73532,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_s_unlimited_dimensions_s, __pyx_k_unlimited_dimensions_s, sizeof(__pyx_k_unlimited_dimensions_s), 0, 0, 1, 0},
{&__pyx_kp_s_unlimited_dimensions_s_2, __pyx_k_unlimited_dimensions_s_2, sizeof(__pyx_k_unlimited_dimensions_s_2), 0, 0, 1, 0},
{&__pyx_kp_s_unlimited_name_s_size_s, __pyx_k_unlimited_name_s_size_s, sizeof(__pyx_k_unlimited_name_s_size_s), 0, 0, 1, 0},
+ {&__pyx_kp_s_unrecognized_format_requested, __pyx_k_unrecognized_format_requested, sizeof(__pyx_k_unrecognized_format_requested), 0, 0, 1, 0},
{&__pyx_kp_s_unsupported_component_type_for_V, __pyx_k_unsupported_component_type_for_V, sizeof(__pyx_k_unsupported_component_type_for_V), 0, 0, 1, 0},
{&__pyx_kp_s_unsupported_datatype_specified_f, __pyx_k_unsupported_datatype_specified_f, sizeof(__pyx_k_unsupported_datatype_specified_f), 0, 0, 1, 0},
{&__pyx_kp_s_unsupported_datatype_specified_f_2, __pyx_k_unsupported_datatype_specified_f_2, sizeof(__pyx_k_unsupported_datatype_specified_f_2), 0, 0, 1, 0},
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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 = 917; __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 = 5394; __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 = 1047; __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 = 1071; __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 = 1094; __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 = 1138; __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 = 1224; __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 = 1798; __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 = 2534; __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 = 3549; __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 = 3793; __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 = 4122; __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 = 4137; __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 = 4791; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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;}
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@@ -72503,1628 +73609,1672 @@ static int __Pyx_InitCachedConstants(void) {
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- /* "netCDF4/_netCDF4.pyx":1085
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__Pyx_GOTREF(__pyx_tuple__3);
__Pyx_GIVEREF(__pyx_tuple__3);
- /* "netCDF4/_netCDF4.pyx":1091
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__Pyx_GOTREF(__pyx_tuple__4);
__Pyx_GIVEREF(__pyx_tuple__4);
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__Pyx_GOTREF(__pyx_tuple__5);
__Pyx_GIVEREF(__pyx_tuple__5);
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+ /* "netCDF4/_netCDF4.pyx":1172
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+ __Pyx_GOTREF(__pyx_tuple__7);
+ __Pyx_GIVEREF(__pyx_tuple__7);
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+ /* "netCDF4/_netCDF4.pyx":1215
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- __Pyx_GOTREF(__pyx_tuple__6);
- __Pyx_GIVEREF(__pyx_tuple__6);
+ __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_GOTREF(__pyx_tuple__8);
+ __Pyx_GIVEREF(__pyx_tuple__8);
- /* "netCDF4/_netCDF4.pyx":1195
+ /* "netCDF4/_netCDF4.pyx":1216
* fmt = _get_format(grp._grpid)
* is_netcdf3 = fmt.startswith('NETCDF3') or fmt == 'NETCDF4_CLASSIC'
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- __Pyx_GOTREF(__pyx_slice__7);
- __Pyx_GIVEREF(__pyx_slice__7);
+ __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_GOTREF(__pyx_slice__9);
+ __Pyx_GIVEREF(__pyx_slice__9);
- /* "netCDF4/_netCDF4.pyx":1197
+ /* "netCDF4/_netCDF4.pyx":1218
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\
* is_netcdf3):
* value_arr = value_arr.astype('i4') # <<<<<<<<<<<<<<
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+ __Pyx_GOTREF(__pyx_tuple__10);
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- __Pyx_GOTREF(__pyx_slice__9);
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+ /* "netCDF4/_netCDF4.pyx":1256
* xtype = _find_cmptype(grp,value_arr.dtype)
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- __Pyx_GOTREF(__pyx_slice__10);
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- __Pyx_GOTREF(__pyx_tuple__15);
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- __Pyx_GOTREF(__pyx_tuple__24);
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- __Pyx_GOTREF(__pyx_tuple__31);
- __Pyx_GIVEREF(__pyx_tuple__31);
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- /* "netCDF4/_netCDF4.pyx":2974
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- __Pyx_GOTREF(__pyx_tuple__38);
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- __Pyx_GOTREF(__pyx_tuple__39);
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- __Pyx_GOTREF(__pyx_tuple__45);
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- __Pyx_GOTREF(__pyx_tuple__46);
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- __Pyx_GOTREF(__pyx_tuple__47);
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- __Pyx_GOTREF(__pyx_tuple__49);
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- __Pyx_GOTREF(__pyx_slice__51);
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+ /* "netCDF4/_netCDF4.pyx":3695
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- __Pyx_GOTREF(__pyx_tuple__52);
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- __Pyx_GOTREF(__pyx_tuple__59);
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- __Pyx_GOTREF(__pyx_tuple__62);
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- __Pyx_GOTREF(__pyx_slice__64);
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- __Pyx_GOTREF(__pyx_slice__66);
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- __Pyx_GOTREF(__pyx_slice__68);
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- __Pyx_GOTREF(__pyx_tuple__70);
- __Pyx_GIVEREF(__pyx_tuple__70);
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- __Pyx_GOTREF(__pyx_tuple__71);
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- __Pyx_GOTREF(__pyx_tuple__73);
- __Pyx_GIVEREF(__pyx_tuple__73);
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- __Pyx_GOTREF(__pyx_tuple__79);
- __Pyx_GIVEREF(__pyx_tuple__79);
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- __pyx_tuple__83 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__83)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__83);
- __Pyx_GIVEREF(__pyx_tuple__83);
+ __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_GOTREF(__pyx_tuple__86);
+ __Pyx_GIVEREF(__pyx_tuple__86);
- /* "netCDF4/_netCDF4.pyx":4283
+ /* "netCDF4/_netCDF4.pyx":4371
* 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__84 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__84)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__84);
- __Pyx_GIVEREF(__pyx_tuple__84);
+ __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_GOTREF(__pyx_tuple__87);
+ __Pyx_GIVEREF(__pyx_tuple__87);
- /* "netCDF4/_netCDF4.pyx":4402
+ /* "netCDF4/_netCDF4.pyx":4496
* if format.kind != 'V': # scalar primitive type
* try:
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- __pyx_slice__85 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__85)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4402; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__85);
- __Pyx_GIVEREF(__pyx_slice__85);
+ __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_GOTREF(__pyx_slice__88);
+ __Pyx_GIVEREF(__pyx_slice__88);
- /* "netCDF4/_netCDF4.pyx":4404
+ /* "netCDF4/_netCDF4.pyx":4498
* xtype_tmp = _nptonctype[format.str[1:]]
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- __pyx_tuple__86 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__86)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4404; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__86);
- __Pyx_GIVEREF(__pyx_tuple__86);
+ __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_GOTREF(__pyx_tuple__89);
+ __Pyx_GIVEREF(__pyx_tuple__89);
- /* "netCDF4/_netCDF4.pyx":4426
+ /* "netCDF4/_netCDF4.pyx":4521
* if format.subdtype[0].str[1] != 'V': # primitive type.
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- __pyx_slice__87 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__87)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4426; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__87);
- __Pyx_GIVEREF(__pyx_slice__87);
+ __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_GOTREF(__pyx_slice__90);
+ __Pyx_GIVEREF(__pyx_slice__90);
- /* "netCDF4/_netCDF4.pyx":4428
+ /* "netCDF4/_netCDF4.pyx":4523
* xtype_tmp = _nptonctype[format.subdtype[0].str[1:]]
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* raise ValueError('Unsupported compound type element') # <<<<<<<<<<<<<<
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- __pyx_tuple__88 = PyTuple_Pack(1, __pyx_kp_s_Unsupported_compound_type_elemen); if (unlikely(!__pyx_tuple__88)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4428; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__88);
- __Pyx_GIVEREF(__pyx_tuple__88);
+ __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_GOTREF(__pyx_tuple__91);
+ __Pyx_GIVEREF(__pyx_tuple__91);
- /* "netCDF4/_netCDF4.pyx":4465
+ /* "netCDF4/_netCDF4.pyx":4561
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- __pyx_tuple__89 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__89)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4465; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__89);
- __Pyx_GIVEREF(__pyx_tuple__89);
+ __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_GOTREF(__pyx_tuple__92);
+ __Pyx_GIVEREF(__pyx_tuple__92);
- /* "netCDF4/_netCDF4.pyx":4467
+ /* "netCDF4/_netCDF4.pyx":4563
* 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__90 = PyTuple_Pack(1, __pyx_kp_s_cannot_find_compound_type_in_thi); if (unlikely(!__pyx_tuple__90)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4467; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__90);
- __Pyx_GIVEREF(__pyx_tuple__90);
+ __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_GOTREF(__pyx_tuple__93);
+ __Pyx_GIVEREF(__pyx_tuple__93);
- /* "netCDF4/_netCDF4.pyx":4528
+ /* "netCDF4/_netCDF4.pyx":4637
* field_type = _read_compound(group, field_typeid, endian=endian)
* else:
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- __Pyx_GOTREF(__pyx_tuple__91);
- __Pyx_GIVEREF(__pyx_tuple__91);
+ __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_GOTREF(__pyx_tuple__94);
+ __Pyx_GIVEREF(__pyx_tuple__94);
- /* "netCDF4/_netCDF4.pyx":4618
+ /* "netCDF4/_netCDF4.pyx":4726
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- __Pyx_GOTREF(__pyx_slice__92);
- __Pyx_GIVEREF(__pyx_slice__92);
+ __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_GOTREF(__pyx_slice__95);
+ __Pyx_GIVEREF(__pyx_slice__95);
- /* "netCDF4/_netCDF4.pyx":4621
+ /* "netCDF4/_netCDF4.pyx":4729
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
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* ierr = nc_def_vlen(grp._grpid, namstring, xtype_tmp, &xtype);
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- __Pyx_GOTREF(__pyx_slice__93);
- __Pyx_GIVEREF(__pyx_slice__93);
+ __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_GOTREF(__pyx_slice__96);
+ __Pyx_GIVEREF(__pyx_slice__96);
- /* "netCDF4/_netCDF4.pyx":4626
+ /* "netCDF4/_netCDF4.pyx":4734
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- __Pyx_GOTREF(__pyx_tuple__94);
- __Pyx_GIVEREF(__pyx_tuple__94);
+ __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_GOTREF(__pyx_tuple__97);
+ __Pyx_GIVEREF(__pyx_tuple__97);
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+ /* "netCDF4/_netCDF4.pyx":4761
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- __Pyx_GOTREF(__pyx_tuple__95);
- __Pyx_GIVEREF(__pyx_tuple__95);
+ __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_GOTREF(__pyx_tuple__98);
+ __Pyx_GIVEREF(__pyx_tuple__98);
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+ /* "netCDF4/_netCDF4.pyx":4835
* namstring = bytestr
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- __Pyx_GOTREF(__pyx_slice__96);
- __Pyx_GIVEREF(__pyx_slice__96);
+ __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_GOTREF(__pyx_slice__99);
+ __Pyx_GIVEREF(__pyx_slice__99);
- /* "netCDF4/_netCDF4.pyx":4730
+ /* "netCDF4/_netCDF4.pyx":4838
* # find netCDF primitive data type corresponding to
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- __Pyx_GOTREF(__pyx_slice__97);
- __Pyx_GIVEREF(__pyx_slice__97);
+ __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_GOTREF(__pyx_slice__100);
+ __Pyx_GIVEREF(__pyx_slice__100);
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+ /* "netCDF4/_netCDF4.pyx":4879
* dt = numpy.dtype(datatype) # see if it is a primitive type
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- __Pyx_GOTREF(__pyx_tuple__98);
- __Pyx_GIVEREF(__pyx_tuple__98);
+ __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_GOTREF(__pyx_tuple__101);
+ __Pyx_GIVEREF(__pyx_tuple__101);
- /* "netCDF4/_netCDF4.pyx":4812
+ /* "netCDF4/_netCDF4.pyx":4920
* units = timestr_split[0].lower()
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- __Pyx_GOTREF(__pyx_tuple__99);
- __Pyx_GIVEREF(__pyx_tuple__99);
+ __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);
- /* "netCDF4/_netCDF4.pyx":4814
+ /* "netCDF4/_netCDF4.pyx":4922
* raise ValueError("no 'since' in unit_string")
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- __Pyx_GOTREF(__pyx_tuple__100);
- __Pyx_GIVEREF(__pyx_tuple__100);
+ __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);
- /* "netCDF4/_netCDF4.pyx":4826
+ /* "netCDF4/_netCDF4.pyx":4934
* basedate = netcdftime.datetime(year, month, day, hour, minute, second)
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*/
- __pyx_tuple__101 = PyTuple_Pack(1, __pyx_kp_s_cannot_use_utc_offset_for_refere); if (unlikely(!__pyx_tuple__101)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__101);
- __Pyx_GIVEREF(__pyx_tuple__101);
+ __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);
- /* "netCDF4/_netCDF4.pyx":4847
+ /* "netCDF4/_netCDF4.pyx":4955
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- __Pyx_GOTREF(__pyx_tuple__102);
- __Pyx_GIVEREF(__pyx_tuple__102);
+ __pyx_tuple__105 = PyTuple_Pack(1, __pyx_kp_s_dtype_must_string_or_unicode_S_o); if (unlikely(!__pyx_tuple__105)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4955; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__105);
+ __Pyx_GIVEREF(__pyx_tuple__105);
- /* "netCDF4/_netCDF4.pyx":4866
+ /* "netCDF4/_netCDF4.pyx":4974
* dtype = a.dtype.kind
* if dtype not in ["S","U"]:
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- __Pyx_GOTREF(__pyx_tuple__103);
- __Pyx_GIVEREF(__pyx_tuple__103);
+ __pyx_tuple__106 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__106)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4974; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__106);
+ __Pyx_GIVEREF(__pyx_tuple__106);
- /* "netCDF4/_netCDF4.pyx":4885
+ /* "netCDF4/_netCDF4.pyx":4993
* dtype = b.dtype.kind
* if dtype not in ["S","U"]:
* raise ValueError("type must string or unicode ('S' or 'U')") # <<<<<<<<<<<<<<
* bs = b.tostring().decode(default_encoding)
* slen = int(b.shape[-1])
*/
- __pyx_tuple__104 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__104)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4885; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__104);
- __Pyx_GIVEREF(__pyx_tuple__104);
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+ __Pyx_GOTREF(__pyx_tuple__107);
+ __Pyx_GIVEREF(__pyx_tuple__107);
- /* "netCDF4/_netCDF4.pyx":4889
+ /* "netCDF4/_netCDF4.pyx":4997
* 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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* return a
*
*/
- __pyx_slice__105 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__105)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4889; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__105);
- __Pyx_GIVEREF(__pyx_slice__105);
+ __pyx_slice__108 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__108)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4997; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__108);
+ __Pyx_GIVEREF(__pyx_slice__108);
- /* "netCDF4/_netCDF4.pyx":4971
+ /* "netCDF4/_netCDF4.pyx":5079
* times.append(totaltime/1.e6/3600./24.)
* else:
* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
* if isscalar:
* return times[0]
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- __pyx_tuple__106 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__106)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4971; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__106);
- __Pyx_GIVEREF(__pyx_tuple__106);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5065
+ /* "netCDF4/_netCDF4.pyx":5173
* tsecs = time*86400.
* else:
* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
* # compute time delta.
* days = tsecs // 86400.
*/
- __pyx_tuple__107 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__107)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5065; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__107);
- __Pyx_GIVEREF(__pyx_tuple__107);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5117
+ /* "netCDF4/_netCDF4.pyx":5225
* nctime.units
* except AttributeError:
* raise AttributeError("netcdf time variable is missing a 'units' attribute") # <<<<<<<<<<<<<<
* if calendar == None:
* calendar = getattr(nctime, 'calendar', 'standard')
*/
- __pyx_tuple__108 = PyTuple_Pack(1, __pyx_kp_s_netcdf_time_variable_is_missing); if (unlikely(!__pyx_tuple__108)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5117; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__108);
- __Pyx_GIVEREF(__pyx_tuple__108);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5203
+ /* "netCDF4/_netCDF4.pyx":5311
* # can be used like a CDF instance.
* if isinstance(files, str):
* if files.startswith('http'): # <<<<<<<<<<<<<<
* msg='cannot using file globbing for remote (OPeNDAP) datasets'
* raise ValueError(msg)
*/
- __pyx_tuple__109 = PyTuple_Pack(1, __pyx_n_s_http); if (unlikely(!__pyx_tuple__109)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5203; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__109);
- __Pyx_GIVEREF(__pyx_tuple__109);
+ __pyx_tuple__112 = PyTuple_Pack(1, __pyx_n_s_http); if (unlikely(!__pyx_tuple__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5311; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__112);
+ __Pyx_GIVEREF(__pyx_tuple__112);
- /* "netCDF4/_netCDF4.pyx":5265
+ /* "netCDF4/_netCDF4.pyx":5373
* # Make sure each file defines the same aggregation variables as the master
* # and that the variables are defined in the same way (name, shape and type)
* for f in files[1:]: # <<<<<<<<<<<<<<
* part = Dataset(f)
* varInfo = part.variables
*/
- __pyx_slice__110 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5265; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__110);
- __Pyx_GIVEREF(__pyx_slice__110);
+ __pyx_slice__113 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__113)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5373; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__113);
+ __Pyx_GIVEREF(__pyx_slice__113);
- /* "netCDF4/_netCDF4.pyx":5276
+ /* "netCDF4/_netCDF4.pyx":5384
* #if not vInst.dimensions[0] != aggDimName:
*
* masterDims, masterShape, masterType = masterRecVar[v][:3] # <<<<<<<<<<<<<<
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*/
- __pyx_slice__111 = PySlice_New(Py_None, __pyx_int_3, Py_None); if (unlikely(!__pyx_slice__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__111);
- __Pyx_GIVEREF(__pyx_slice__111);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5293
+ /* "netCDF4/_netCDF4.pyx":5401
* "master %s (%s) and extension %s (%s)" %
* (v, master, len(masterShape), f, len(extShape)))
* if masterShape[1:] != extShape[1:]: # <<<<<<<<<<<<<<
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* "master %s (%s) and extension %s (%s)" %
*/
- __pyx_slice__112 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5293; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__112);
- __Pyx_GIVEREF(__pyx_slice__112);
- __pyx_slice__113 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__113)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5293; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__113);
- __Pyx_GIVEREF(__pyx_slice__113);
+ __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;}
+ __Pyx_GOTREF(__pyx_slice__115);
+ __Pyx_GIVEREF(__pyx_slice__115);
+ __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_GOTREF(__pyx_slice__116);
+ __Pyx_GIVEREF(__pyx_slice__116);
- /* "netCDF4/_netCDF4.pyx":5336
+ /* "netCDF4/_netCDF4.pyx":5444
* for dset in self._cdf:
* if dset.file_format == 'NETCDF4' or dset.data_model == 'NETCDF4':
- * raise ValueError('MFNetCDF4 only works with NETCDF3_CLASSIC, NETCDF3_64BIT and NETCDF4_CLASSIC formatted files, not NETCDF4') # <<<<<<<<<<<<<<
+ * raise ValueError('MFNetCDF4 only works with NETCDF3_* and NETCDF4_CLASSIC formatted files, not NETCDF4') # <<<<<<<<<<<<<<
* self._file_format.append(dset.file_format)
* self._data_model.append(dset.data_model)
*/
- __pyx_tuple__114 = PyTuple_Pack(1, __pyx_kp_s_MFNetCDF4_only_works_with_NETCDF); if (unlikely(!__pyx_tuple__114)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5336; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__114);
- __Pyx_GIVEREF(__pyx_tuple__114);
+ __pyx_tuple__117 = PyTuple_Pack(1, __pyx_kp_s_MFNetCDF4_only_works_with_NETCDF); if (unlikely(!__pyx_tuple__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__117);
+ __Pyx_GIVEREF(__pyx_tuple__117);
- /* "netCDF4/_netCDF4.pyx":5452
+ /* "netCDF4/_netCDF4.pyx":5560
* def __len__(self):
* if not self._shape:
* raise TypeError('len() of unsized object') # <<<<<<<<<<<<<<
* else:
* return self._shape()[0]
*/
- __pyx_tuple__115 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__115)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5452; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__115);
- __Pyx_GIVEREF(__pyx_tuple__115);
+ __pyx_tuple__118 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__118)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5560; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__118);
+ __Pyx_GIVEREF(__pyx_tuple__118);
- /* "netCDF4/_netCDF4.pyx":5457
+ /* "netCDF4/_netCDF4.pyx":5565
* def _shape(self):
* recdimlen = len(self._dset.dimensions[self._recdimname])
* return (recdimlen,) + self._mastervar.shape[1:] # <<<<<<<<<<<<<<
* def set_auto_maskandscale(self,val):
* for v in self._recVar:
*/
- __pyx_slice__116 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__116)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5457; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__116);
- __Pyx_GIVEREF(__pyx_slice__116);
+ __pyx_slice__119 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__119)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5565; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__119);
+ __Pyx_GIVEREF(__pyx_slice__119);
- /* "netCDF4/_netCDF4.pyx":5478
+ /* "netCDF4/_netCDF4.pyx":5586
* # 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__117 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5478; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__117);
- __Pyx_GIVEREF(__pyx_slice__117);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5479
+ /* "netCDF4/_netCDF4.pyx":5587
* # 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__118 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__118)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__118);
- __Pyx_GIVEREF(__pyx_slice__118);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5496
+ /* "netCDF4/_netCDF4.pyx":5604
* count = [abs(cnt) for cnt in count]
* if (numpy.array(stride) < 0).any():
* raise IndexError('negative strides not allowed when slicing MFVariable Variable instance') # <<<<<<<<<<<<<<
* # Start, stop and step along 1st dimension, eg the unlimited
* # dimension.
*/
- __pyx_tuple__119 = PyTuple_Pack(1, __pyx_kp_s_negative_strides_not_allowed_whe); if (unlikely(!__pyx_tuple__119)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5496; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__119);
- __Pyx_GIVEREF(__pyx_tuple__119);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5520
+ /* "netCDF4/_netCDF4.pyx":5628
*
* # 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__120 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__120)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__120);
- __Pyx_GIVEREF(__pyx_slice__120);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5622
+ /* "netCDF4/_netCDF4.pyx":5730
* 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__121 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_time_va); if (unlikely(!__pyx_tuple__121)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__121);
- __Pyx_GIVEREF(__pyx_tuple__121);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5626
+ /* "netCDF4/_netCDF4.pyx":5734
* # 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__122 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_same_ti); if (unlikely(!__pyx_tuple__122)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5626; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__122);
- __Pyx_GIVEREF(__pyx_tuple__122);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5632
+ /* "netCDF4/_netCDF4.pyx":5740
*
* # 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__123 = PyTuple_Pack(3, __pyx_int_1900, __pyx_int_1, __pyx_int_1); if (unlikely(!__pyx_tuple__123)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__123);
- __Pyx_GIVEREF(__pyx_tuple__123);
+ __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);
- /* "netCDF4/_netCDF4.pyx":921
+ /* "netCDF4/_netCDF4.pyx":928
* from ordereddict import OrderedDict
* except ImportError:
* raise ImportError('please install ordereddict (https://pypi.python.org/pypi/ordereddict)') # <<<<<<<<<<<<<<
* try:
* from itertools import izip as zip
*/
- __pyx_tuple__124 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__124)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 921; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__124);
- __Pyx_GIVEREF(__pyx_tuple__124);
+ __pyx_tuple__127 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__127)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__127);
+ __Pyx_GIVEREF(__pyx_tuple__127);
- /* "netCDF4/_netCDF4.pyx":940
- * from numpy import ma
+ /* "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__126 = PyTuple_Pack(1, __pyx_kp_s__125); if (unlikely(!__pyx_tuple__126)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 940; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__126);
- __Pyx_GIVEREF(__pyx_tuple__126);
+ __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);
- /* "netCDF4/_netCDF4.pyx":941
- * from numpy import __version__ as _npversion
+ /* "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__127 = PyTuple_Pack(1, __pyx_kp_s_requires_numpy_version_1_0rc1_or); if (unlikely(!__pyx_tuple__127)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 941; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__127);
- __Pyx_GIVEREF(__pyx_tuple__127);
+ __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":948
+ /* "netCDF4/_netCDF4.pyx":956
* # check for required version of netcdf-4 and hdf5.
*
* def _gethdf5libversion(): # <<<<<<<<<<<<<<
* majorvers = H5_VERS_MAJOR
* minorvers = H5_VERS_MINOR
*/
- __pyx_tuple__128 = PyTuple_Pack(4, __pyx_n_s_majorvers, __pyx_n_s_minorvers, __pyx_n_s_releasevers, __pyx_n_s_patchstring); if (unlikely(!__pyx_tuple__128)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 948; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__128);
- __Pyx_GIVEREF(__pyx_tuple__128);
- __pyx_codeobj__129 = (PyObject*)__Pyx_PyCode_New(0, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__128, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_gethdf5libversion, 948, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__129)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 948; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__131 = PyTuple_Pack(4, __pyx_n_s_majorvers, __pyx_n_s_minorvers, __pyx_n_s_releasevers, __pyx_n_s_patchstring); if (unlikely(!__pyx_tuple__131)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 956; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__131);
+ __Pyx_GIVEREF(__pyx_tuple__131);
+ __pyx_codeobj__132 = (PyObject*)__Pyx_PyCode_New(0, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__131, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_gethdf5libversion, 956, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__132)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 956; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":958
+ /* "netCDF4/_netCDF4.pyx":966
* return '%d.%d.%d-%s' % (majorvers,minorvers,releasevers,patchstring)
*
* def getlibversion(): # <<<<<<<<<<<<<<
* """
* **`getlibversion()`**
*/
- __pyx_codeobj__130 = (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_jsw_python_netcdf4_python, __pyx_n_s_getlibversion, 958, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__130)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_codeobj__133 = (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_jsw_python_netcdf4_python, __pyx_n_s_getlibversion, 966, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__133)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 966; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1012
- * 'f8':NC_FILL_DOUBLE}
+ /* "netCDF4/_netCDF4.pyx":982
+ * __has_cdf5__ = HAS_CDF5_FORMAT
+ * _needsworkaround_issue485 = __netcdf4libversion__ < "4.4.0" or \
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*
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+ __pyx_tuple__134 = PyTuple_Pack(1, __pyx_kp_s_4_4_0); if (unlikely(!__pyx_tuple__134)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 982; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__134);
+ __Pyx_GIVEREF(__pyx_tuple__134);
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+ /* "netCDF4/_netCDF4.pyx":1042
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- __Pyx_GOTREF(__pyx_tuple__131);
- __Pyx_GIVEREF(__pyx_tuple__131);
+ __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);
- /* "netCDF4/_netCDF4.pyx":1013
- *
+ /* "netCDF4/_netCDF4.pyx":1043
+ * # logical for native endian type.
* is_native_little = numpy.dtype('<f4').byteorder == '='
* is_native_big = numpy.dtype('>f4').byteorder == '=' # <<<<<<<<<<<<<<
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- __Pyx_GOTREF(__pyx_tuple__132);
- __Pyx_GIVEREF(__pyx_tuple__132);
+ __pyx_tuple__136 = PyTuple_Pack(1, __pyx_kp_s_f4_3); if (unlikely(!__pyx_tuple__136)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1043; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__136);
+ __Pyx_GIVEREF(__pyx_tuple__136);
- /* "netCDF4/_netCDF4.pyx":1127
+ /* "netCDF4/_netCDF4.pyx":1158
* return value_arr
*
* def _set_default_format(object format='NETCDF4'): # <<<<<<<<<<<<<<
* # Private function to set the netCDF file format
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*/
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- /* "netCDF4/_netCDF4.pyx":4802
+ /* "netCDF4/_netCDF4.pyx":4910
*
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- __Pyx_GOTREF(__pyx_tuple__135);
- __Pyx_GIVEREF(__pyx_tuple__135);
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+ /* "netCDF4/_netCDF4.pyx":4912
* gregorian = datetime(1582,10,15)
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* def _dateparse(timestr): # <<<<<<<<<<<<<<
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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 = 4912; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":4829
+ /* "netCDF4/_netCDF4.pyx":4937
* return basedate
*
* def stringtoarr(string,NUMCHARS,dtype='S'): # <<<<<<<<<<<<<<
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- /* "netCDF4/_netCDF4.pyx":4852
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* 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 = 4960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__144);
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- /* "netCDF4/_netCDF4.pyx":4871
+ /* "netCDF4/_netCDF4.pyx":4979
* return b
*
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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 = 4979; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__146);
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- /* "netCDF4/_netCDF4.pyx":4892
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* return a
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* def date2num(dates,units,calendar='standard'): # <<<<<<<<<<<<<<
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@@ -74232,7 +75382,7 @@ 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_1_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
+ __pyx_m = Py_InitModule4("_netCDF4", __pyx_methods, __pyx_k_Version_1_2_2_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
#else
__pyx_m = PyModule_Create(&__pyx_moduledef);
#endif
@@ -74268,12 +75418,12 @@ 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 = 714; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Dataset) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1497; __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 = 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_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 = 1497; __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 = 1539; __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__;
@@ -74281,15 +75431,15 @@ 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 = 1497; __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 = 1539; __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 = 2459; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ 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;}
__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 = 2459; __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 = 2510; __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__;
@@ -74297,14 +75447,14 @@ 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 = 2459; __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 = 2510; __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 = 2554; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ 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;}
__pyx_type_7netCDF4_8_netCDF4_Dimension.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
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+ 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;}
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__;
@@ -74312,13 +75462,13 @@ 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 = 2554; __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 = 2605; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_Dimension = &__pyx_type_7netCDF4_8_netCDF4_Dimension;
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+ 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;}
__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 = 2703; __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 = 2766; __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__;
@@ -74326,13 +75476,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
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{
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- if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_2, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 917; __pyx_clineno = __LINE__; goto __pyx_L4_except_error;}
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__Pyx_GOTREF(__pyx_t_2);
__Pyx_GOTREF(__pyx_t_7);
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+ /* "netCDF4/_netCDF4.pyx":925
* from collections import OrderedDict
* except ImportError: # or else use drop-in substitute
* try: # <<<<<<<<<<<<<<
@@ -74521,28 +75674,28 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
__Pyx_XGOTREF(__pyx_t_10);
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- /* "netCDF4/_netCDF4.pyx":919
+ /* "netCDF4/_netCDF4.pyx":926
* except ImportError: # or else use drop-in substitute
* try:
* from ordereddict import OrderedDict # <<<<<<<<<<<<<<
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__Pyx_GIVEREF(__pyx_n_s_OrderedDict);
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__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_OrderedDict, __pyx_t_11) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 926; __pyx_clineno = __LINE__; goto __pyx_L12_error;}
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__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
- /* "netCDF4/_netCDF4.pyx":918
+ /* "netCDF4/_netCDF4.pyx":925
* from collections import OrderedDict
* except ImportError: # or else use drop-in substitute
* try: # <<<<<<<<<<<<<<
@@ -74558,7 +75711,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
__Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
- /* "netCDF4/_netCDF4.pyx":920
+ /* "netCDF4/_netCDF4.pyx":927
* try:
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* except ImportError: # <<<<<<<<<<<<<<
@@ -74568,28 +75721,28 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
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if (__pyx_t_6) {
__Pyx_AddTraceback("netCDF4._netCDF4", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_12, &__pyx_t_11, &__pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L14_except_error;}
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__Pyx_GOTREF(__pyx_t_11);
__Pyx_GOTREF(__pyx_t_13);
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+ /* "netCDF4/_netCDF4.pyx":928
* from ordereddict import OrderedDict
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+ /* "netCDF4/_netCDF4.pyx":925
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goto __pyx_L4_except_error;
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__pyx_L9_try_end:;
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__Pyx_XGOTREF(__pyx_t_3);
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__Pyx_INCREF(__pyx_n_s_izip);
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goto __pyx_L24_except_error;
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- if (PyObject_SetItem(__pyx_t_7, __pyx_n_s_init, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5600; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_13, __pyx_tuple__194);
+ if (PyObject_SetItem(__pyx_t_1, __pyx_n_s_init, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5708; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
- /* "netCDF4/_netCDF4.pyx":5648
+ /* "netCDF4/_netCDF4.pyx":5756
*
*
* def __getitem__(self, elem): # <<<<<<<<<<<<<<
* return self.__time[elem] + self.__delta[elem]
*/
- __pyx_t_13 = __Pyx_CyFunction_NewEx(&__pyx_mdef_7netCDF4_8_netCDF4_6MFTime_3__getitem__, 0, __pyx_n_s_MFTime___getitem, NULL, __pyx_n_s_netCDF4__netCDF4, __pyx_d, ((PyObject *)__pyx_codeobj__192)); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_13 = __Pyx_CyFunction_NewEx(&__pyx_mdef_7netCDF4_8_netCDF4_6MFTime_3__getitem__, 0, __pyx_n_s_MFTime___getitem, NULL, __pyx_n_s_netCDF4__netCDF4, __pyx_d, ((PyObject *)__pyx_codeobj__196)); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5756; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_13);
- if (PyObject_SetItem(__pyx_t_7, __pyx_n_s_getitem, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetItem(__pyx_t_1, __pyx_n_s_getitem, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5756; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
- /* "netCDF4/_netCDF4.pyx":5565
+ /* "netCDF4/_netCDF4.pyx":5673
*
*
* class MFTime(_Variable): # <<<<<<<<<<<<<<
* """
* Class providing an interface to a MFDataset time Variable by imposing a unique common
*/
- __pyx_t_13 = __Pyx_Py3ClassCreate(__pyx_t_1, __pyx_n_s_MFTime, __pyx_t_2, __pyx_t_7, NULL, 0, 1); if (unlikely(!__pyx_t_13)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5565; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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_GOTREF(__pyx_t_13);
- if (PyDict_SetItem(__pyx_d, __pyx_n_s_MFTime, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5565; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_MFTime, __pyx_t_13) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5673; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
- __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 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;
/* "netCDF4/_netCDF4.pyx":1
* """ # <<<<<<<<<<<<<<
- * Version 1.2.1
+ * Version 1.2.2
* -------------
*/
- __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;
+ __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;
/*--- Wrapped vars code ---*/
@@ -76903,13 +78202,355 @@ static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
return result;
}
+static CYTHON_INLINE int __Pyx_IterFinish(void) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyThreadState *tstate = PyThreadState_GET();
+ PyObject* exc_type = tstate->curexc_type;
+ if (unlikely(exc_type)) {
+ if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
+ PyObject *exc_value, *exc_tb;
+ exc_value = tstate->curexc_value;
+ exc_tb = tstate->curexc_traceback;
+ tstate->curexc_type = 0;
+ tstate->curexc_value = 0;
+ tstate->curexc_traceback = 0;
+ Py_DECREF(exc_type);
+ Py_XDECREF(exc_value);
+ Py_XDECREF(exc_tb);
+ return 0;
+ } else {
+ return -1;
+ }
+ }
+ return 0;
+#else
+ if (unlikely(PyErr_Occurred())) {
+ if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
+ PyErr_Clear();
+ return 0;
+ } else {
+ return -1;
+ }
+ }
+ return 0;
+#endif
+}
+
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
+ PyObject *result;
+ ternaryfunc call = func->ob_type->tp_call;
+ if (unlikely(!call))
+ return PyObject_Call(func, arg, kw);
+ if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
+ return NULL;
+ result = (*call)(func, arg, kw);
+ Py_LeaveRecursiveCall();
+ if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
+ PyErr_SetString(
+ PyExc_SystemError,
+ "NULL result without error in PyObject_Call");
+ }
+ return result;
+}
+#endif
+
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
+ PyObject *self, *result;
+ PyCFunction cfunc;
+ cfunc = PyCFunction_GET_FUNCTION(func);
+ self = PyCFunction_GET_SELF(func);
+ if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
+ return NULL;
+ result = cfunc(self, arg);
+ Py_LeaveRecursiveCall();
+ if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
+ PyErr_SetString(
+ PyExc_SystemError,
+ "NULL result without error in PyObject_Call");
+ }
+ return result;
+}
+#endif
+
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
+#ifdef __Pyx_CyFunction_USED
+ if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
+#else
+ if (likely(PyCFunction_Check(func))) {
+#endif
+ if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
+ return __Pyx_PyObject_CallMethO(func, NULL);
+ }
+ }
+ return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
+}
+#endif
+
+#if CYTHON_COMPILING_IN_CPYTHON
+static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+ PyObject *result;
+ PyObject *args = PyTuple_New(1);
+ if (unlikely(!args)) return NULL;
+ Py_INCREF(arg);
+ PyTuple_SET_ITEM(args, 0, arg);
+ result = __Pyx_PyObject_Call(func, args, NULL);
+ Py_DECREF(args);
+ return result;
+}
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+#ifdef __Pyx_CyFunction_USED
+ if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
+#else
+ if (likely(PyCFunction_Check(func))) {
+#endif
+ if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
+ return __Pyx_PyObject_CallMethO(func, arg);
+ }
+ }
+ return __Pyx__PyObject_CallOneArg(func, arg);
+}
+#else
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+ PyObject *result;
+ PyObject *args = PyTuple_Pack(1, arg);
+ if (unlikely(!args)) return NULL;
+ result = __Pyx_PyObject_Call(func, args, NULL);
+ Py_DECREF(args);
+ return result;
+}
+#endif
+
+static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) {
+ PyObject *method, *result = NULL;
+ method = __Pyx_PyObject_GetAttrStr(obj, method_name);
+ if (unlikely(!method)) goto bad;
+#if CYTHON_COMPILING_IN_CPYTHON
+ if (likely(PyMethod_Check(method))) {
+ PyObject *self = PyMethod_GET_SELF(method);
+ if (likely(self)) {
+ PyObject *function = PyMethod_GET_FUNCTION(method);
+ result = __Pyx_PyObject_CallOneArg(function, self);
+ Py_DECREF(method);
+ return result;
+ }
+ }
+#endif
+ result = __Pyx_PyObject_CallNoArg(method);
+ Py_DECREF(method);
+bad:
+ return result;
+}
+
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
+ PyErr_Format(PyExc_ValueError,
+ "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
+ index, (index == 1) ? "" : "s");
+}
+
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
+ PyErr_Format(PyExc_ValueError,
+ "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
+}
+
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
+ if (unlikely(retval)) {
+ Py_DECREF(retval);
+ __Pyx_RaiseTooManyValuesError(expected);
+ return -1;
+ } else {
+ return __Pyx_IterFinish();
+ }
+ return 0;
+}
+
+static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
+ PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
+}
+
+static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
+ if (t == Py_None) {
+ __Pyx_RaiseNoneNotIterableError();
+ } else if (PyTuple_GET_SIZE(t) < index) {
+ __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
+ } else {
+ __Pyx_RaiseTooManyValuesError(index);
+ }
+}
+
+static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2,
+ int is_tuple, int has_known_size, int decref_tuple) {
+ Py_ssize_t index;
+ PyObject *value1 = NULL, *value2 = NULL, *iter = NULL;
+ if (!is_tuple && unlikely(!PyTuple_Check(tuple))) {
+ iternextfunc iternext;
+ iter = PyObject_GetIter(tuple);
+ if (unlikely(!iter)) goto bad;
+ if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; }
+ iternext = Py_TYPE(iter)->tp_iternext;
+ value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; }
+ value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; }
+ if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad;
+ Py_DECREF(iter);
+ } else {
+ if (!has_known_size && unlikely(PyTuple_GET_SIZE(tuple) != 2)) {
+ __Pyx_UnpackTupleError(tuple, 2);
+ goto bad;
+ }
+#if CYTHON_COMPILING_IN_PYPY
+ value1 = PySequence_ITEM(tuple, 0);
+ if (unlikely(!value1)) goto bad;
+ value2 = PySequence_ITEM(tuple, 1);
+ if (unlikely(!value2)) goto bad;
+#else
+ value1 = PyTuple_GET_ITEM(tuple, 0);
+ value2 = PyTuple_GET_ITEM(tuple, 1);
+ Py_INCREF(value1);
+ Py_INCREF(value2);
+#endif
+ if (decref_tuple) { Py_DECREF(tuple); }
+ }
+ *pvalue1 = value1;
+ *pvalue2 = value2;
+ return 0;
+unpacking_failed:
+ if (!has_known_size && __Pyx_IterFinish() == 0)
+ __Pyx_RaiseNeedMoreValuesError(index);
+bad:
+ Py_XDECREF(iter);
+ Py_XDECREF(value1);
+ Py_XDECREF(value2);
+ if (decref_tuple) { Py_XDECREF(tuple); }
+ return -1;
+}
+
+static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name,
+ Py_ssize_t* p_orig_length, int* p_source_is_dict) {
+ is_dict = is_dict || likely(PyDict_CheckExact(iterable));
+ *p_source_is_dict = is_dict;
+#if !CYTHON_COMPILING_IN_PYPY
+ if (is_dict) {
+ *p_orig_length = PyDict_Size(iterable);
+ Py_INCREF(iterable);
+ return iterable;
+ }
+#endif
+ *p_orig_length = 0;
+ if (method_name) {
+ PyObject* iter;
+ iterable = __Pyx_PyObject_CallMethod0(iterable, method_name);
+ if (!iterable)
+ return NULL;
+#if !CYTHON_COMPILING_IN_PYPY
+ if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable))
+ return iterable;
+#endif
+ iter = PyObject_GetIter(iterable);
+ Py_DECREF(iterable);
+ return iter;
+ }
+ return PyObject_GetIter(iterable);
+}
+static CYTHON_INLINE int __Pyx_dict_iter_next(
+ PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos,
+ PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) {
+ PyObject* next_item;
+#if !CYTHON_COMPILING_IN_PYPY
+ if (source_is_dict) {
+ PyObject *key, *value;
+ if (unlikely(orig_length != PyDict_Size(iter_obj))) {
+ PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration");
+ return -1;
+ }
+ if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) {
+ return 0;
+ }
+ if (pitem) {
+ PyObject* tuple = PyTuple_New(2);
+ if (unlikely(!tuple)) {
+ return -1;
+ }
+ Py_INCREF(key);
+ Py_INCREF(value);
+ PyTuple_SET_ITEM(tuple, 0, key);
+ PyTuple_SET_ITEM(tuple, 1, value);
+ *pitem = tuple;
+ } else {
+ if (pkey) {
+ Py_INCREF(key);
+ *pkey = key;
+ }
+ if (pvalue) {
+ Py_INCREF(value);
+ *pvalue = value;
+ }
+ }
+ return 1;
+ } else if (PyTuple_CheckExact(iter_obj)) {
+ Py_ssize_t pos = *ppos;
+ if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0;
+ *ppos = pos + 1;
+ next_item = PyTuple_GET_ITEM(iter_obj, pos);
+ Py_INCREF(next_item);
+ } else if (PyList_CheckExact(iter_obj)) {
+ Py_ssize_t pos = *ppos;
+ if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0;
+ *ppos = pos + 1;
+ next_item = PyList_GET_ITEM(iter_obj, pos);
+ Py_INCREF(next_item);
+ } else
+#endif
+ {
+ next_item = PyIter_Next(iter_obj);
+ if (unlikely(!next_item)) {
+ return __Pyx_IterFinish();
+ }
+ }
+ if (pitem) {
+ *pitem = next_item;
+ } else if (pkey && pvalue) {
+ if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1))
+ return -1;
+ } else if (pkey) {
+ *pkey = next_item;
+ } else {
+ *pvalue = next_item;
+ }
+ return 1;
+}
+
+static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
+ PyObject *result;
+#if CYTHON_COMPILING_IN_CPYTHON
+ result = PyDict_GetItem(__pyx_d, name);
+ if (likely(result)) {
+ Py_INCREF(result);
+ } else {
+#else
+ result = PyObject_GetItem(__pyx_d, name);
+ if (!result) {
+ PyErr_Clear();
+#endif
+ result = __Pyx_GetBuiltinName(name);
+ }
+ return result;
+}
+
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
- length = strlen(cstring);
+ size_t slen = strlen(cstring);
+ if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
+ PyErr_SetString(PyExc_OverflowError,
+ "c-string too long to convert to Python");
+ return NULL;
+ }
+ length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
@@ -76929,25 +78570,6 @@ static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
}
}
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
- PyObject *result;
- ternaryfunc call = func->ob_type->tp_call;
- if (unlikely(!call))
- return PyObject_Call(func, arg, kw);
- if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
- return NULL;
- result = (*call)(func, arg, kw);
- Py_LeaveRecursiveCall();
- if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
- PyErr_SetString(
- PyExc_SystemError,
- "NULL result without error in PyObject_Call");
- }
- return result;
-}
-#endif
-
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
@@ -77139,23 +78761,6 @@ bad:
}
#endif
-static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
- PyObject *result;
-#if CYTHON_COMPILING_IN_CPYTHON
- result = PyDict_GetItem(__pyx_d, name);
- if (likely(result)) {
- Py_INCREF(result);
- } else {
-#else
- result = PyObject_GetItem(__pyx_d, name);
- if (!result) {
- PyErr_Clear();
-#endif
- result = __Pyx_GetBuiltinName(name);
- }
- return result;
-}
-
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
@@ -77288,70 +78893,6 @@ return_ne:
#endif
}
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
- PyObject *self, *result;
- PyCFunction cfunc;
- cfunc = PyCFunction_GET_FUNCTION(func);
- self = PyCFunction_GET_SELF(func);
- if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
- return NULL;
- result = cfunc(self, arg);
- Py_LeaveRecursiveCall();
- if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
- PyErr_SetString(
- PyExc_SystemError,
- "NULL result without error in PyObject_Call");
- }
- return result;
-}
-#endif
-
-#if CYTHON_COMPILING_IN_CPYTHON
-static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
- PyObject *result;
- PyObject *args = PyTuple_New(1);
- if (unlikely(!args)) return NULL;
- Py_INCREF(arg);
- PyTuple_SET_ITEM(args, 0, arg);
- result = __Pyx_PyObject_Call(func, args, NULL);
- Py_DECREF(args);
- return result;
-}
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
-#ifdef __Pyx_CyFunction_USED
- if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
-#else
- if (likely(PyCFunction_Check(func))) {
-#endif
- if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
- return __Pyx_PyObject_CallMethO(func, arg);
- }
- }
- return __Pyx__PyObject_CallOneArg(func, arg);
-}
-#else
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
- PyObject* args = PyTuple_Pack(1, arg);
- return (likely(args)) ? __Pyx_PyObject_Call(func, args, NULL) : NULL;
-}
-#endif
-
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
-#ifdef __Pyx_CyFunction_USED
- if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
-#else
- if (likely(PyCFunction_Check(func))) {
-#endif
- if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
- return __Pyx_PyObject_CallMethO(func, NULL);
- }
- }
- return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
-}
-#endif
-
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
@@ -77763,62 +79304,6 @@ static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* value
}
#endif
-static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
- PyErr_Format(PyExc_ValueError,
- "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
-}
-
-static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
- PyErr_Format(PyExc_ValueError,
- "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
- index, (index == 1) ? "" : "s");
-}
-
-static CYTHON_INLINE int __Pyx_IterFinish(void) {
-#if CYTHON_COMPILING_IN_CPYTHON
- PyThreadState *tstate = PyThreadState_GET();
- PyObject* exc_type = tstate->curexc_type;
- if (unlikely(exc_type)) {
- if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
- PyObject *exc_value, *exc_tb;
- exc_value = tstate->curexc_value;
- exc_tb = tstate->curexc_traceback;
- tstate->curexc_type = 0;
- tstate->curexc_value = 0;
- tstate->curexc_traceback = 0;
- Py_DECREF(exc_type);
- Py_XDECREF(exc_value);
- Py_XDECREF(exc_tb);
- return 0;
- } else {
- return -1;
- }
- }
- return 0;
-#else
- if (unlikely(PyErr_Occurred())) {
- if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
- PyErr_Clear();
- return 0;
- } else {
- return -1;
- }
- }
- return 0;
-#endif
-}
-
-static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
- if (unlikely(retval)) {
- Py_DECREF(retval);
- __Pyx_RaiseTooManyValuesError(expected);
- return -1;
- } else {
- return __Pyx_IterFinish();
- }
- return 0;
-}
-
static CYTHON_INLINE int __Pyx_CheckKeywordStrings(
PyObject *kwdict,
const char* function_name,
@@ -77928,6 +79413,10 @@ bad:
return NULL;
}
+static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
+ PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
+}
+
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#endif
@@ -77960,50 +79449,50 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
@@ -78058,32 +79547,32 @@ static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
}
#if PyLong_SHIFT < 30 && PyLong_SHIFT != 15
@@ -78200,10 +79689,6 @@ bad:
return (double)-1;
}
-static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
- PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
-}
-
static CYTHON_INLINE int __Pyx_PyObject_SetSlice(PyObject* obj, PyObject* value,
Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
@@ -78356,50 +79841,50 @@ static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_U
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
- lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
- lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
}
default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
@@ -78491,7 +79976,7 @@ static PyObject* __Pyx_PyFloat_DivideObjC(PyObject *op1, PyObject *op2, double f
case -2:
case 2:
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (1 * PyLong_SHIFT < 53))) {
- a = (double) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (double) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
if ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53) || (a < (double) (1L<<53))) {
if (size == -2)
a = -a;
@@ -78501,7 +79986,7 @@ static PyObject* __Pyx_PyFloat_DivideObjC(PyObject *op1, PyObject *op2, double f
case -3:
case 3:
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53))) {
- a = (double) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (double) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
if ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53) || (a < (double) (1L<<53))) {
if (size == -3)
a = -a;
@@ -78511,7 +79996,7 @@ static PyObject* __Pyx_PyFloat_DivideObjC(PyObject *op1, PyObject *op2, double f
case -4:
case 4:
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53))) {
- a = (double) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ a = (double) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
if ((8 * sizeof(unsigned long) < 53) || (4 * PyLong_SHIFT < 53) || (a < (double) (1L<<53))) {
if (size == -4)
a = -a;
@@ -79672,27 +81157,27 @@ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
- return (int) (((((int)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
- return (int) (((((((int)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
- return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
@@ -79726,54 +81211,54 @@ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
- return (int) -(((((int)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
- return (int) (((((int)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
- return (int) -(((((((int)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
- return (int) (((((((int)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
- return (int) -(((((((((int)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
- return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
@@ -79882,27 +81367,27 @@ static CYTHON_INLINE nc_type __Pyx_PyInt_As_nc_type(PyObject *x) {
case 2:
if (8 * sizeof(nc_type) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) >= 2 * PyLong_SHIFT) {
- return (nc_type) (((((nc_type)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((((nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(nc_type) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) >= 3 * PyLong_SHIFT) {
- return (nc_type) (((((((nc_type)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((((((nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(nc_type) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) >= 4 * PyLong_SHIFT) {
- return (nc_type) (((((((((nc_type)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((((((((nc_type)digits[3]) << PyLong_SHIFT) | (nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0]));
}
}
break;
@@ -79936,54 +81421,54 @@ static CYTHON_INLINE nc_type __Pyx_PyInt_As_nc_type(PyObject *x) {
case -2:
if (8 * sizeof(nc_type) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 2 * PyLong_SHIFT) {
- return (nc_type) -(((((nc_type)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((nc_type)-1)*(((((nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(nc_type) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 2 * PyLong_SHIFT) {
- return (nc_type) (((((nc_type)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) ((((((nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(nc_type) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 3 * PyLong_SHIFT) {
- return (nc_type) -(((((((nc_type)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((nc_type)-1)*(((((((nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(nc_type) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 3 * PyLong_SHIFT) {
- return (nc_type) (((((((nc_type)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) ((((((((nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(nc_type) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 4 * PyLong_SHIFT) {
- return (nc_type) -(((((((((nc_type)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) (((nc_type)-1)*(((((((((nc_type)digits[3]) << PyLong_SHIFT) | (nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(nc_type) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(nc_type, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(nc_type) - 1 > 4 * PyLong_SHIFT) {
- return (nc_type) (((((((((nc_type)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (nc_type) ((((((((((nc_type)digits[3]) << PyLong_SHIFT) | (nc_type)digits[2]) << PyLong_SHIFT) | (nc_type)digits[1]) << PyLong_SHIFT) | (nc_type)digits[0])));
}
}
break;
@@ -80066,27 +81551,27 @@ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) {
case 2:
if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) >= 2 * PyLong_SHIFT) {
- return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) >= 3 * PyLong_SHIFT) {
- return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) >= 4 * PyLong_SHIFT) {
- return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
}
break;
@@ -80120,54 +81605,54 @@ static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) {
case -2:
if (8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) {
- return (size_t) -(((((size_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) {
- return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) {
- return (size_t) -(((((((size_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) {
- return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) {
- return (size_t) -(((((((((size_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) {
- return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])));
}
}
break;
@@ -80250,27 +81735,27 @@ static CYTHON_INLINE ptrdiff_t __Pyx_PyInt_As_ptrdiff_t(PyObject *x) {
case 2:
if (8 * sizeof(ptrdiff_t) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) >= 2 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(ptrdiff_t) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) >= 3 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(ptrdiff_t) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) >= 4 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | (ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0]));
}
}
break;
@@ -80304,54 +81789,54 @@ static CYTHON_INLINE ptrdiff_t __Pyx_PyInt_As_ptrdiff_t(PyObject *x) {
case -2:
if (8 * sizeof(ptrdiff_t) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 2 * PyLong_SHIFT) {
- return (ptrdiff_t) -(((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((ptrdiff_t)-1)*(((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(ptrdiff_t) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 2 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) ((((((ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(ptrdiff_t) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 3 * PyLong_SHIFT) {
- return (ptrdiff_t) -(((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((ptrdiff_t)-1)*(((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(ptrdiff_t) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 3 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) ((((((((ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(ptrdiff_t) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 4 * PyLong_SHIFT) {
- return (ptrdiff_t) -(((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) (((ptrdiff_t)-1)*(((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | (ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(ptrdiff_t) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(ptrdiff_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(ptrdiff_t) - 1 > 4 * PyLong_SHIFT) {
- return (ptrdiff_t) (((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (ptrdiff_t) ((((((((((ptrdiff_t)digits[3]) << PyLong_SHIFT) | (ptrdiff_t)digits[2]) << PyLong_SHIFT) | (ptrdiff_t)digits[1]) << PyLong_SHIFT) | (ptrdiff_t)digits[0])));
}
}
break;
@@ -80460,27 +81945,27 @@ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
- return (long) (((((long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
- return (long) (((((((long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
- return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
@@ -80514,54 +81999,54 @@ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- return (long) -(((((long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
- return (long) (((((long)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- return (long) -(((((((long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
- return (long) (((((((long)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- return (long) -(((((((((long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
- __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0])))
+ __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
- return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
@@ -80644,6 +82129,723 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_char(char value) {
}
}
+static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
+ PyObject *tmp_type, *tmp_value, *tmp_tb;
+#if CYTHON_COMPILING_IN_CPYTHON
+ PyThreadState *tstate = PyThreadState_GET();
+ tmp_type = tstate->exc_type;
+ tmp_value = tstate->exc_value;
+ tmp_tb = tstate->exc_traceback;
+ tstate->exc_type = *type;
+ tstate->exc_value = *value;
+ tstate->exc_traceback = *tb;
+#else
+ PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
+ PyErr_SetExcInfo(*type, *value, *tb);
+#endif
+ *type = tmp_type;
+ *value = tmp_value;
+ *tb = tmp_tb;
+}
+
+#include <structmember.h>
+#include <frameobject.h>
+static PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value);
+static PyObject *__Pyx_Coroutine_Close(PyObject *self);
+static PyObject *__Pyx_Coroutine_Throw(PyObject *gen, PyObject *args);
+#define __Pyx_Coroutine_Undelegate(gen) Py_CLEAR((gen)->yieldfrom)
+#if 1 || PY_VERSION_HEX < 0x030300B0
+static int __Pyx_PyGen_FetchStopIterationValue(PyObject **pvalue) {
+ PyObject *et, *ev, *tb;
+ PyObject *value = NULL;
+ __Pyx_ErrFetch(&et, &ev, &tb);
+ if (!et) {
+ Py_XDECREF(tb);
+ Py_XDECREF(ev);
+ Py_INCREF(Py_None);
+ *pvalue = Py_None;
+ return 0;
+ }
+ if (likely(et == PyExc_StopIteration)) {
+#if PY_VERSION_HEX >= 0x030300A0
+ if (ev && Py_TYPE(ev) == (PyTypeObject*)PyExc_StopIteration) {
+ value = ((PyStopIterationObject *)ev)->value;
+ Py_INCREF(value);
+ Py_DECREF(ev);
+ Py_XDECREF(tb);
+ Py_DECREF(et);
+ *pvalue = value;
+ return 0;
+ }
+#endif
+ if (!ev || !PyObject_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration)) {
+ if (!ev) {
+ Py_INCREF(Py_None);
+ ev = Py_None;
+ } else if (PyTuple_Check(ev)) {
+ if (PyTuple_GET_SIZE(ev) >= 1) {
+ PyObject *value;
+#if CYTHON_COMPILING_IN_CPYTHON
+ value = PySequence_ITEM(ev, 0);
+#else
+ value = PyTuple_GET_ITEM(ev, 0);
+ Py_INCREF(value);
+#endif
+ Py_DECREF(ev);
+ ev = value;
+ } else {
+ Py_INCREF(Py_None);
+ Py_DECREF(ev);
+ ev = Py_None;
+ }
+ }
+ Py_XDECREF(tb);
+ Py_DECREF(et);
+ *pvalue = ev;
+ return 0;
+ }
+ } else if (!PyErr_GivenExceptionMatches(et, PyExc_StopIteration)) {
+ __Pyx_ErrRestore(et, ev, tb);
+ return -1;
+ }
+ PyErr_NormalizeException(&et, &ev, &tb);
+ if (unlikely(!PyObject_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration))) {
+ __Pyx_ErrRestore(et, ev, tb);
+ return -1;
+ }
+ Py_XDECREF(tb);
+ Py_DECREF(et);
+#if PY_VERSION_HEX >= 0x030300A0
+ value = ((PyStopIterationObject *)ev)->value;
+ Py_INCREF(value);
+ Py_DECREF(ev);
+#else
+ {
+ PyObject* args = __Pyx_PyObject_GetAttrStr(ev, __pyx_n_s_args);
+ Py_DECREF(ev);
+ if (likely(args)) {
+ value = PySequence_GetItem(args, 0);
+ Py_DECREF(args);
+ }
+ if (unlikely(!value)) {
+ __Pyx_ErrRestore(NULL, NULL, NULL);
+ Py_INCREF(Py_None);
+ value = Py_None;
+ }
+ }
+#endif
+ *pvalue = value;
+ return 0;
+}
+#endif
+static CYTHON_INLINE
+void __Pyx_Coroutine_ExceptionClear(__pyx_CoroutineObject *self) {
+ PyObject *exc_type = self->exc_type;
+ PyObject *exc_value = self->exc_value;
+ PyObject *exc_traceback = self->exc_traceback;
+ self->exc_type = NULL;
+ self->exc_value = NULL;
+ self->exc_traceback = NULL;
+ Py_XDECREF(exc_type);
+ Py_XDECREF(exc_value);
+ Py_XDECREF(exc_traceback);
+}
+static CYTHON_INLINE
+int __Pyx_Coroutine_CheckRunning(__pyx_CoroutineObject *gen) {
+ if (unlikely(gen->is_running)) {
+ PyErr_SetString(PyExc_ValueError,
+ "generator already executing");
+ return 1;
+ }
+ return 0;
+}
+static CYTHON_INLINE
+PyObject *__Pyx_Coroutine_SendEx(__pyx_CoroutineObject *self, PyObject *value) {
+ PyObject *retval;
+ assert(!self->is_running);
+ if (unlikely(self->resume_label == 0)) {
+ if (unlikely(value && value != Py_None)) {
+ PyErr_SetString(PyExc_TypeError,
+ "can't send non-None value to a "
+ "just-started generator");
+ return NULL;
+ }
+ }
+ if (unlikely(self->resume_label == -1)) {
+ PyErr_SetNone(PyExc_StopIteration);
+ return NULL;
+ }
+ if (value) {
+#if CYTHON_COMPILING_IN_PYPY
+#else
+ if (self->exc_traceback) {
+ PyThreadState *tstate = PyThreadState_GET();
+ PyTracebackObject *tb = (PyTracebackObject *) self->exc_traceback;
+ PyFrameObject *f = tb->tb_frame;
+ Py_XINCREF(tstate->frame);
+ assert(f->f_back == NULL);
+ f->f_back = tstate->frame;
+ }
+#endif
+ __Pyx_ExceptionSwap(&self->exc_type, &self->exc_value,
+ &self->exc_traceback);
+ } else {
+ __Pyx_Coroutine_ExceptionClear(self);
+ }
+ self->is_running = 1;
+ retval = self->body((PyObject *) self, value);
+ self->is_running = 0;
+ if (retval) {
+ __Pyx_ExceptionSwap(&self->exc_type, &self->exc_value,
+ &self->exc_traceback);
+#if CYTHON_COMPILING_IN_PYPY
+#else
+ if (self->exc_traceback) {
+ PyTracebackObject *tb = (PyTracebackObject *) self->exc_traceback;
+ PyFrameObject *f = tb->tb_frame;
+ Py_CLEAR(f->f_back);
+ }
+#endif
+ } else {
+ __Pyx_Coroutine_ExceptionClear(self);
+ }
+ return retval;
+}
+static CYTHON_INLINE
+PyObject *__Pyx_Coroutine_MethodReturn(PyObject *retval) {
+ if (unlikely(!retval && !PyErr_Occurred())) {
+ PyErr_SetNone(PyExc_StopIteration);
+ }
+ return retval;
+}
+static CYTHON_INLINE
+PyObject *__Pyx_Coroutine_FinishDelegation(__pyx_CoroutineObject *gen) {
+ PyObject *ret;
+ PyObject *val = NULL;
+ __Pyx_Coroutine_Undelegate(gen);
+ __Pyx_PyGen_FetchStopIterationValue(&val);
+ ret = __Pyx_Coroutine_SendEx(gen, val);
+ Py_XDECREF(val);
+ return ret;
+}
+static PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value) {
+ PyObject *retval;
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;
+ PyObject *yf = gen->yieldfrom;
+ if (unlikely(__Pyx_Coroutine_CheckRunning(gen)))
+ return NULL;
+ if (yf) {
+ PyObject *ret;
+ gen->is_running = 1;
+ #ifdef __Pyx_Generator_USED
+ if (__Pyx_Generator_CheckExact(yf)) {
+ ret = __Pyx_Coroutine_Send(yf, value);
+ } else
+ #endif
+ #ifdef __Pyx_Coroutine_USED
+ if (__Pyx_Coroutine_CheckExact(yf)) {
+ ret = __Pyx_Coroutine_Send(yf, value);
+ } else
+ #endif
+ {
+ if (value == Py_None)
+ ret = PyIter_Next(yf);
+ else
+ ret = __Pyx_PyObject_CallMethod1(yf, __pyx_n_s_send, value);
+ }
+ gen->is_running = 0;
+ if (likely(ret)) {
+ return ret;
+ }
+ retval = __Pyx_Coroutine_FinishDelegation(gen);
+ } else {
+ retval = __Pyx_Coroutine_SendEx(gen, value);
+ }
+ return __Pyx_Coroutine_MethodReturn(retval);
+}
+static int __Pyx_Coroutine_CloseIter(__pyx_CoroutineObject *gen, PyObject *yf) {
+ PyObject *retval = NULL;
+ int err = 0;
+ #ifdef __Pyx_Generator_USED
+ if (__Pyx_Generator_CheckExact(yf)) {
+ retval = __Pyx_Coroutine_Close(yf);
+ if (!retval)
+ return -1;
+ } else
+ #endif
+ #ifdef __Pyx_Coroutine_USED
+ if (__Pyx_Coroutine_CheckExact(yf)) {
+ retval = __Pyx_Coroutine_Close(yf);
+ if (!retval)
+ return -1;
+ } else
+ #endif
+ {
+ PyObject *meth;
+ gen->is_running = 1;
+ meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_close);
+ if (unlikely(!meth)) {
+ if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {
+ PyErr_WriteUnraisable(yf);
+ }
+ PyErr_Clear();
+ } else {
+ retval = PyObject_CallFunction(meth, NULL);
+ Py_DECREF(meth);
+ if (!retval)
+ err = -1;
+ }
+ gen->is_running = 0;
+ }
+ Py_XDECREF(retval);
+ return err;
+}
+static PyObject *__Pyx_Generator_Next(PyObject *self) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;
+ PyObject *yf = gen->yieldfrom;
+ if (unlikely(__Pyx_Coroutine_CheckRunning(gen)))
+ return NULL;
+ if (yf) {
+ PyObject *ret;
+ gen->is_running = 1;
+ ret = Py_TYPE(yf)->tp_iternext(yf);
+ gen->is_running = 0;
+ if (likely(ret)) {
+ return ret;
+ }
+ return __Pyx_Coroutine_FinishDelegation(gen);
+ }
+ return __Pyx_Coroutine_SendEx(gen, Py_None);
+}
+static PyObject *__Pyx_Coroutine_Close(PyObject *self) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ PyObject *retval, *raised_exception;
+ PyObject *yf = gen->yieldfrom;
+ int err = 0;
+ if (unlikely(__Pyx_Coroutine_CheckRunning(gen)))
+ return NULL;
+ if (yf) {
+ Py_INCREF(yf);
+ err = __Pyx_Coroutine_CloseIter(gen, yf);
+ __Pyx_Coroutine_Undelegate(gen);
+ Py_DECREF(yf);
+ }
+ if (err == 0)
+ PyErr_SetNone(PyExc_GeneratorExit);
+ retval = __Pyx_Coroutine_SendEx(gen, NULL);
+ if (retval) {
+ Py_DECREF(retval);
+ PyErr_SetString(PyExc_RuntimeError,
+ "generator ignored GeneratorExit");
+ return NULL;
+ }
+ raised_exception = PyErr_Occurred();
+ if (!raised_exception
+ || raised_exception == PyExc_StopIteration
+ || raised_exception == PyExc_GeneratorExit
+ || PyErr_GivenExceptionMatches(raised_exception, PyExc_GeneratorExit)
+ || PyErr_GivenExceptionMatches(raised_exception, PyExc_StopIteration))
+ {
+ if (raised_exception) PyErr_Clear();
+ Py_INCREF(Py_None);
+ return Py_None;
+ }
+ return NULL;
+}
+static PyObject *__Pyx_Coroutine_Throw(PyObject *self, PyObject *args) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ PyObject *typ;
+ PyObject *tb = NULL;
+ PyObject *val = NULL;
+ PyObject *yf = gen->yieldfrom;
+ if (!PyArg_UnpackTuple(args, (char *)"throw", 1, 3, &typ, &val, &tb))
+ return NULL;
+ if (unlikely(__Pyx_Coroutine_CheckRunning(gen)))
+ return NULL;
+ if (yf) {
+ PyObject *ret;
+ Py_INCREF(yf);
+ if (PyErr_GivenExceptionMatches(typ, PyExc_GeneratorExit)) {
+ int err = __Pyx_Coroutine_CloseIter(gen, yf);
+ Py_DECREF(yf);
+ __Pyx_Coroutine_Undelegate(gen);
+ if (err < 0)
+ return __Pyx_Coroutine_MethodReturn(__Pyx_Coroutine_SendEx(gen, NULL));
+ goto throw_here;
+ }
+ gen->is_running = 1;
+ #ifdef __Pyx_Generator_USED
+ if (__Pyx_Generator_CheckExact(yf)) {
+ ret = __Pyx_Coroutine_Throw(yf, args);
+ } else
+ #endif
+ #ifdef __Pyx_Coroutine_USED
+ if (__Pyx_Coroutine_CheckExact(yf)) {
+ ret = __Pyx_Coroutine_Throw(yf, args);
+ } else
+ #endif
+ {
+ PyObject *meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_throw);
+ if (unlikely(!meth)) {
+ Py_DECREF(yf);
+ if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {
+ gen->is_running = 0;
+ return NULL;
+ }
+ PyErr_Clear();
+ __Pyx_Coroutine_Undelegate(gen);
+ gen->is_running = 0;
+ goto throw_here;
+ }
+ ret = PyObject_CallObject(meth, args);
+ Py_DECREF(meth);
+ }
+ gen->is_running = 0;
+ Py_DECREF(yf);
+ if (!ret) {
+ ret = __Pyx_Coroutine_FinishDelegation(gen);
+ }
+ return __Pyx_Coroutine_MethodReturn(ret);
+ }
+throw_here:
+ __Pyx_Raise(typ, val, tb, NULL);
+ return __Pyx_Coroutine_MethodReturn(__Pyx_Coroutine_SendEx(gen, NULL));
+}
+static int __Pyx_Coroutine_traverse(PyObject *self, visitproc visit, void *arg) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ Py_VISIT(gen->closure);
+ Py_VISIT(gen->classobj);
+ Py_VISIT(gen->yieldfrom);
+ Py_VISIT(gen->exc_type);
+ Py_VISIT(gen->exc_value);
+ Py_VISIT(gen->exc_traceback);
+ return 0;
+}
+static int __Pyx_Coroutine_clear(PyObject *self) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ Py_CLEAR(gen->closure);
+ Py_CLEAR(gen->classobj);
+ Py_CLEAR(gen->yieldfrom);
+ Py_CLEAR(gen->exc_type);
+ Py_CLEAR(gen->exc_value);
+ Py_CLEAR(gen->exc_traceback);
+ Py_CLEAR(gen->gi_name);
+ Py_CLEAR(gen->gi_qualname);
+ return 0;
+}
+static void __Pyx_Coroutine_dealloc(PyObject *self) {
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ PyObject_GC_UnTrack(gen);
+ if (gen->gi_weakreflist != NULL)
+ PyObject_ClearWeakRefs(self);
+ if (gen->resume_label > 0) {
+ PyObject_GC_Track(self);
+#if PY_VERSION_HEX >= 0x030400a1
+ if (PyObject_CallFinalizerFromDealloc(self))
+#else
+ Py_TYPE(gen)->tp_del(self);
+ if (self->ob_refcnt > 0)
+#endif
+ {
+ return;
+ }
+ PyObject_GC_UnTrack(self);
+ }
+ __Pyx_Coroutine_clear(self);
+ PyObject_GC_Del(gen);
+}
+static void __Pyx_Coroutine_del(PyObject *self) {
+ PyObject *res;
+ PyObject *error_type, *error_value, *error_traceback;
+ __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
+ if (gen->resume_label <= 0)
+ return ;
+#if PY_VERSION_HEX < 0x030400a1
+ assert(self->ob_refcnt == 0);
+ self->ob_refcnt = 1;
+#endif
+ __Pyx_ErrFetch(&error_type, &error_value, &error_traceback);
+ res = __Pyx_Coroutine_Close(self);
+ if (res == NULL)
+ PyErr_WriteUnraisable(self);
+ else
+ Py_DECREF(res);
+ __Pyx_ErrRestore(error_type, error_value, error_traceback);
+#if PY_VERSION_HEX < 0x030400a1
+ assert(self->ob_refcnt > 0);
+ if (--self->ob_refcnt == 0) {
+ return;
+ }
+ {
+ Py_ssize_t refcnt = self->ob_refcnt;
+ _Py_NewReference(self);
+ self->ob_refcnt = refcnt;
+ }
+#if CYTHON_COMPILING_IN_CPYTHON
+ assert(PyType_IS_GC(self->ob_type) &&
+ _Py_AS_GC(self)->gc.gc_refs != _PyGC_REFS_UNTRACKED);
+ _Py_DEC_REFTOTAL;
+#endif
+#ifdef COUNT_ALLOCS
+ --Py_TYPE(self)->tp_frees;
+ --Py_TYPE(self)->tp_allocs;
+#endif
+#endif
+}
+static PyObject *
+__Pyx_Coroutine_get_name(__pyx_CoroutineObject *self)
+{
+ Py_INCREF(self->gi_name);
+ return self->gi_name;
+}
+static int
+__Pyx_Coroutine_set_name(__pyx_CoroutineObject *self, PyObject *value)
+{
+ PyObject *tmp;
+#if PY_MAJOR_VERSION >= 3
+ if (unlikely(value == NULL || !PyUnicode_Check(value))) {
+#else
+ if (unlikely(value == NULL || !PyString_Check(value))) {
+#endif
+ PyErr_SetString(PyExc_TypeError,
+ "__name__ must be set to a string object");
+ return -1;
+ }
+ tmp = self->gi_name;
+ Py_INCREF(value);
+ self->gi_name = value;
+ Py_XDECREF(tmp);
+ return 0;
+}
+static PyObject *
+__Pyx_Coroutine_get_qualname(__pyx_CoroutineObject *self)
+{
+ Py_INCREF(self->gi_qualname);
+ return self->gi_qualname;
+}
+static int
+__Pyx_Coroutine_set_qualname(__pyx_CoroutineObject *self, PyObject *value)
+{
+ PyObject *tmp;
+#if PY_MAJOR_VERSION >= 3
+ if (unlikely(value == NULL || !PyUnicode_Check(value))) {
+#else
+ if (unlikely(value == NULL || !PyString_Check(value))) {
+#endif
+ PyErr_SetString(PyExc_TypeError,
+ "__qualname__ must be set to a string object");
+ return -1;
+ }
+ tmp = self->gi_qualname;
+ Py_INCREF(value);
+ self->gi_qualname = value;
+ Py_XDECREF(tmp);
+ return 0;
+}
+static __pyx_CoroutineObject *__Pyx__Coroutine_New(PyTypeObject* type, __pyx_coroutine_body_t body,
+ PyObject *closure, PyObject *name, PyObject *qualname) {
+ __pyx_CoroutineObject *gen = PyObject_GC_New(__pyx_CoroutineObject, type);
+ if (gen == NULL)
+ return NULL;
+ gen->body = body;
+ gen->closure = closure;
+ Py_XINCREF(closure);
+ gen->is_running = 0;
+ gen->resume_label = 0;
+ gen->classobj = NULL;
+ gen->yieldfrom = NULL;
+ gen->exc_type = NULL;
+ gen->exc_value = NULL;
+ gen->exc_traceback = NULL;
+ gen->gi_weakreflist = NULL;
+ Py_XINCREF(qualname);
+ gen->gi_qualname = qualname;
+ Py_XINCREF(name);
+ gen->gi_name = name;
+ PyObject_GC_Track(gen);
+ return gen;
+}
+
+static PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code) {
+#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
+ int result;
+ PyObject *globals, *result_obj;
+ globals = PyDict_New(); if (unlikely(!globals)) goto ignore;
+ result = PyDict_SetItemString(globals, "_cython_coroutine_type",
+ #ifdef __Pyx_Coroutine_USED
+ (PyObject*)__pyx_CoroutineType);
+ #else
+ Py_None);
+ #endif
+ if (unlikely(result < 0)) goto ignore;
+ result = PyDict_SetItemString(globals, "_cython_generator_type",
+ #ifdef __Pyx_Generator_USED
+ (PyObject*)__pyx_GeneratorType);
+ #else
+ Py_None);
+ #endif
+ if (unlikely(result < 0)) goto ignore;
+ if (unlikely(PyDict_SetItemString(globals, "_module", module) < 0)) goto ignore;
+ if (unlikely(PyDict_SetItemString(globals, "__builtins__", __pyx_b) < 0)) goto ignore;
+ result_obj = PyRun_String(py_code, Py_file_input, globals, globals);
+ if (unlikely(!result_obj)) goto ignore;
+ Py_DECREF(result_obj);
+ Py_DECREF(globals);
+ return module;
+ignore:
+ Py_XDECREF(globals);
+ PyErr_WriteUnraisable(module);
+ if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning, "Cython module failed to patch module with custom type", 1) < 0)) {
+ Py_DECREF(module);
+ module = NULL;
+ }
+#else
+ py_code++;
+#endif
+ return module;
+}
+
+#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
+static PyObject* __Pyx_patch_abc_module(PyObject *module);
+static PyObject* __Pyx_patch_abc_module(PyObject *module) {
+ module = __Pyx_Coroutine_patch_module(
+ module, ""
+"if _cython_generator_type is not None:\n"
+" try: Generator = _module.Generator\n"
+" except AttributeError: pass\n"
+" else: Generator.register(_cython_generator_type)\n"
+"if _cython_coroutine_type is not None:\n"
+" try: Coroutine = _module.Coroutine\n"
+" except AttributeError: pass\n"
+" else: Coroutine.register(_cython_coroutine_type)\n"
+ );
+ return module;
+}
+#endif
+static int __Pyx_patch_abc(void) {
+#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
+ static int abc_patched = 0;
+ if (!abc_patched) {
+ PyObject *module;
+ module = PyImport_ImportModule((PY_VERSION_HEX >= 0x03030000) ? "collections.abc" : "collections");
+ if (!module) {
+ PyErr_WriteUnraisable(NULL);
+ if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning,
+ ((PY_VERSION_HEX >= 0x03030000) ?
+ "Cython module failed to register with collections.abc module" :
+ "Cython module failed to register with collections module"), 1) < 0)) {
+ return -1;
+ }
+ } else {
+ module = __Pyx_patch_abc_module(module);
+ abc_patched = 1;
+ if (unlikely(!module))
+ return -1;
+ Py_DECREF(module);
+ }
+ module = PyImport_ImportModule("backports_abc");
+ if (module) {
+ module = __Pyx_patch_abc_module(module);
+ Py_XDECREF(module);
+ }
+ if (!module) {
+ PyErr_Clear();
+ }
+ }
+#else
+ if (0) __Pyx_Coroutine_patch_module(NULL, NULL);
+#endif
+ return 0;
+}
+
+static PyMethodDef __pyx_Generator_methods[] = {
+ {"send", (PyCFunction) __Pyx_Coroutine_Send, METH_O,
+ (char*) PyDoc_STR("send(arg) -> send 'arg' into generator,\nreturn next yielded value or raise StopIteration.")},
+ {"throw", (PyCFunction) __Pyx_Coroutine_Throw, METH_VARARGS,
+ (char*) PyDoc_STR("throw(typ[,val[,tb]]) -> raise exception in generator,\nreturn next yielded value or raise StopIteration.")},
+ {"close", (PyCFunction) __Pyx_Coroutine_Close, METH_NOARGS,
+ (char*) PyDoc_STR("close() -> raise GeneratorExit inside generator.")},
+ {0, 0, 0, 0}
+};
+static PyMemberDef __pyx_Generator_memberlist[] = {
+ {(char *) "gi_running", T_BOOL, offsetof(__pyx_CoroutineObject, is_running), READONLY, NULL},
+ {(char*) "gi_yieldfrom", T_OBJECT, offsetof(__pyx_CoroutineObject, yieldfrom), READONLY,
+ (char*) PyDoc_STR("object being iterated by 'yield from', or None")},
+ {0, 0, 0, 0, 0}
+};
+static PyGetSetDef __pyx_Generator_getsets[] = {
+ {(char *) "__name__", (getter)__Pyx_Coroutine_get_name, (setter)__Pyx_Coroutine_set_name,
+ (char*) PyDoc_STR("name of the generator"), 0},
+ {(char *) "__qualname__", (getter)__Pyx_Coroutine_get_qualname, (setter)__Pyx_Coroutine_set_qualname,
+ (char*) PyDoc_STR("qualified name of the generator"), 0},
+ {0, 0, 0, 0, 0}
+};
+static PyTypeObject __pyx_GeneratorType_type = {
+ PyVarObject_HEAD_INIT(0, 0)
+ "generator",
+ sizeof(__pyx_CoroutineObject),
+ 0,
+ (destructor) __Pyx_Coroutine_dealloc,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_HAVE_FINALIZE,
+ 0,
+ (traverseproc) __Pyx_Coroutine_traverse,
+ 0,
+ 0,
+ offsetof(__pyx_CoroutineObject, gi_weakreflist),
+ 0,
+ (iternextfunc) __Pyx_Generator_Next,
+ __pyx_Generator_methods,
+ __pyx_Generator_memberlist,
+ __pyx_Generator_getsets,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+ 0,
+#if PY_VERSION_HEX >= 0x030400a1
+ 0,
+#else
+ __Pyx_Coroutine_del,
+#endif
+ 0,
+#if PY_VERSION_HEX >= 0x030400a1
+ __Pyx_Coroutine_del,
+#endif
+};
+static int __pyx_Generator_init(void) {
+ __pyx_GeneratorType_type.tp_getattro = PyObject_GenericGetAttr;
+ __pyx_GeneratorType_type.tp_iter = PyObject_SelfIter;
+ __pyx_GeneratorType = __Pyx_FetchCommonType(&__pyx_GeneratorType_type);
+ if (unlikely(!__pyx_GeneratorType)) {
+ return -1;
+ }
+ return 0;
+}
+
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
@@ -80908,32 +83110,32 @@ static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
- return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
- return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | digits[0]));
+ return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
- return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
- return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
- return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
- return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | digits[2]) << PyLong_SHIFT) | digits[1]) << PyLong_SHIFT) | digits[0]));
+ return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
diff --git a/netCDF4/_netCDF4.pyx b/netCDF4/_netCDF4.pyx
index 0643b7d..22fd5d0 100644
--- a/netCDF4/_netCDF4.pyx
+++ b/netCDF4/_netCDF4.pyx
@@ -1,5 +1,5 @@
"""
-Version 1.2.1
+Version 1.2.2
-------------
- - -
@@ -36,7 +36,7 @@ Download
Requires
========
- - Python 2.5 or later (python 3 works too).
+ - Python 2.6 or later (python 3 works too).
- [numpy array module](http://numpy.scipy.org), version 1.7.0 or later.
- [Cython](http://cython.org), version 0.19 or later, is optional - if it is installed setup.py will
use it to recompile the Cython source code into C, using conditional compilation
@@ -114,10 +114,17 @@ To create a netCDF file from python, you simply call the `netCDF4.Dataset`
constructor. This is also the method used to open an existing netCDF
file. If the file is open for write access (`mode='w', 'r+'` or `'a'`), you may
write any type of data including new dimensions, groups, variables and
-attributes. netCDF files come in several flavors (`NETCDF3_CLASSIC,
-NETCDF3_64BIT, NETCDF4_CLASSIC`, and `NETCDF4`). The first two flavors
-are supported by version 3 of the netCDF library. `NETCDF4_CLASSIC`
-files use the version 4 disk format (HDF5), but do not use any features
+attributes. netCDF files come in five flavors (`NETCDF3_CLASSIC,
+NETCDF3_64BIT_OFFSET, NETCDF3_64BIT_DATA, NETCDF4_CLASSIC`, and `NETCDF4`).
+`NETCDF3_CLASSIC` was the original netcdf binary format, and was limited
+to file sizes less than 2 Gb. `NETCDF3_64BIT_OFFSET` was introduced
+in version 3.6.0 of the library, and extended the original binary format
+to allow for file sizes greater than 2 Gb.
+`NETCDF3_64BIT_DATA` is a new format that requires version 4.4.0 of
+the C library - it extends the `NETCDF3_64BIT_OFFSET` binary format to
+allow for unsigned/64 bit integer data types and 64-bit dimension sizes.
+`NETCDF3_64BIT` is an alias for `NETCDF3_64BIT_OFFSET`.
+`NETCDF4_CLASSIC` files use the version 4 disk format (HDF5), but omits features
not found in the version 3 API. They can be read by netCDF 3 clients
only if they have been relinked against the netCDF 4 library. They can
also be read by HDF5 clients. `NETCDF4` files use the version 4 disk
@@ -270,9 +277,9 @@ can be used to determine if the dimensions is unlimited, or appendable.
:::python
>>> print len(lon)
144
- >>> print len.is_unlimited()
+ >>> print len.isunlimited()
False
- >>> print time.is_unlimited()
+ >>> print time.isunlimited()
True
Printing the `netCDF4.Dimension` object
@@ -571,8 +578,8 @@ Variables in the list of files that share the same unlimited
dimension are aggregated together, and can be sliced across multiple
files. To illustrate this, let's first create a bunch of netCDF files with
the same variable (with the same unlimited dimension). The files
-must in be in `NETCDF3_64BIT`, `NETCDF3_CLASSIC` or
-`NETCDF4_CLASSIC format` (`NETCDF4` formatted multi-file
+must in be in `NETCDF3_64BIT_OFFSET`, `NETCDF3_64BIT_DATA`, `NETCDF3_CLASSIC` or
+`NETCDF4_CLASSIC` format (`NETCDF4` formatted multi-file
datasets are not supported).
:::python
@@ -619,7 +626,7 @@ and `endian` keyword arguments to
`netCDF4.Dataset.createVariable`. These keyword arguments only
are relevant for `NETCDF4` and `NETCDF4_CLASSIC` files (where the
underlying file format is HDF5) and are silently ignored if the file
-format is `NETCDF3_CLASSIC` or `NETCDF3_64BIT`,
+format is `NETCDF3_CLASSIC`, `NETCDF3_64BIT_OFFSET` or `NETCDF3_64BIT_DATA`.
If your data only has a certain number of digits of precision (say for
example, it is temperature data that was measured with a precision of
@@ -925,7 +932,7 @@ except ImportError:
# python3: zip is already python2's itertools.izip
pass
-__version__ = "1.2.1"
+__version__ = "1.2.2"
# Initialize numpy
import posixpath
@@ -937,6 +944,7 @@ 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')
import_array()
@@ -969,12 +977,13 @@ __hdf5libversion__ = _gethdf5libversion()
__has_rename_grp__ = HAS_RENAME_GRP
__has_nc_inq_path__ = HAS_NC_INQ_PATH
__has_nc_inq_format_extended__ = HAS_NC_INQ_FORMAT_EXTENDED
-
+__has_cdf5__ = HAS_CDF5_FORMAT
+_needsworkaround_issue485 = __netcdf4libversion__ < "4.4.0" or \
+ (__netcdf4libversion__.startswith("4.4.0") and \
+ "-development" in __netcdf4libversion__)
# numpy data type <--> netCDF 4 data type mapping.
-
-_nptonctype = {'U1' : NC_CHAR,
- 'S1' : NC_CHAR,
+_nptonctype = {'S1' : NC_CHAR,
'i1' : NC_BYTE,
'u1' : NC_UBYTE,
'i2' : NC_SHORT,
@@ -986,6 +995,7 @@ _nptonctype = {'U1' : NC_CHAR,
'f4' : NC_FLOAT,
'f8' : NC_DOUBLE}
+# just integer types.
_intnptonctype = {'i1' : NC_BYTE,
'u1' : NC_UBYTE,
'i2' : NC_SHORT,
@@ -995,8 +1005,27 @@ _intnptonctype = {'i1' : NC_BYTE,
'i8' : NC_INT64,
'u8' : NC_UINT64}
+# create dictionary mapping string identifiers to netcdf format codes
+_format_dict = {'NETCDF3_CLASSIC' : NC_FORMAT_CLASSIC,
+ 'NETCDF4_CLASSIC' : NC_FORMAT_NETCDF4_CLASSIC,
+ 'NETCDF4' : NC_FORMAT_NETCDF4}
+IF HAS_CDF5_FORMAT:
+ # NETCDF3_64BIT deprecated, saved for compatibility.
+ # use NETCDF3_64BIT_OFFSET instead.
+ _format_dict['NETCDF3_64BIT_OFFSET'] = NC_FORMAT_64BIT_OFFSET
+ _format_dict['NETCDF3_64BIT_DATA'] = NC_FORMAT_64BIT_DATA
+ELSE:
+ _format_dict['NETCDF3_64BIT'] = NC_FORMAT_64BIT
+# invert dictionary mapping
+_reverse_format_dict = dict((v, k) for k, v in _format_dict.iteritems())
+# add duplicate entry (NETCDF3_64BIT == NETCDF3_64BIT_OFFSET)
+IF HAS_CDF5_FORMAT:
+ _format_dict['NETCDF3_64BIT'] = NC_FORMAT_64BIT_OFFSET
+ELSE:
+ _format_dict['NETCDF3_64BIT_OFFSET'] = NC_FORMAT_64BIT
+
+# default fill_value to numpy datatype mapping.
default_fillvals = {#'S1':NC_FILL_CHAR,
- 'U1':'\0',
'S1':'\0',
'i1':NC_FILL_BYTE,
'u1':NC_FILL_UBYTE,
@@ -1009,6 +1038,7 @@ default_fillvals = {#'S1':NC_FILL_CHAR,
'f4':NC_FILL_FLOAT,
'f8':NC_FILL_DOUBLE}
+# logical for native endian type.
is_native_little = numpy.dtype('<f4').byteorder == '='
is_native_big = numpy.dtype('>f4').byteorder == '='
@@ -1089,6 +1119,7 @@ cdef _get_att(grp, int varid, name):
with nogil:
ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','')
+ ierr = nc_free_string(1, &stratt) # free memory in netcdf C lib
return pstring
else:
raise KeyError('vlen string array attributes not supported')
@@ -1126,16 +1157,9 @@ cdef _get_att(grp, int varid, name):
def _set_default_format(object format='NETCDF4'):
# Private function to set the netCDF file format
- if format == 'NETCDF4':
- nc_set_default_format(NC_FORMAT_NETCDF4, NULL)
- elif format == 'NETCDF4_CLASSIC':
- nc_set_default_format(NC_FORMAT_NETCDF4_CLASSIC, NULL)
- elif format == 'NETCDF3_64BIT':
- nc_set_default_format(NC_FORMAT_64BIT, NULL)
- elif format == 'NETCDF3_CLASSIC':
- nc_set_default_format(NC_FORMAT_CLASSIC, NULL)
- else:
- raise ValueError("format must be 'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT', or 'NETCDF3_CLASSIC', got '%s'" % format)
+ if format not in _format_dict:
+ raise ValueError("unrecognized format requested")
+ nc_set_default_format(_format_dict[format], NULL)
cdef _get_format(int grpid):
# Private function to get the netCDF file format
@@ -1144,14 +1168,9 @@ cdef _get_format(int grpid):
ierr = nc_inq_format(grpid, &formatp)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
- if formatp == NC_FORMAT_NETCDF4:
- return 'NETCDF4'
- elif formatp == NC_FORMAT_NETCDF4_CLASSIC:
- return 'NETCDF4_CLASSIC'
- elif formatp == NC_FORMAT_64BIT:
- return 'NETCDF3_64BIT'
- elif formatp == NC_FORMAT_CLASSIC:
- return 'NETCDF3_CLASSIC'
+ if formatp not in _reverse_format_dict:
+ raise ValueError('format not supported by python interface')
+ return _reverse_format_dict[formatp]
cdef _get_full_format(int grpid):
# Private function to get the underlying disk format
@@ -1181,6 +1200,8 @@ cdef _get_full_format(int grpid):
cdef _set_att(grp, int varid, name, value, nc_type xtype=-99):
# Private function to set an attribute name/value pair
cdef int i, ierr, lenarr, n
+ cdef size_t att_len
+ cdef nc_type att_type
cdef char *attname
cdef char *datstring
cdef ndarray value_arr
@@ -1210,6 +1231,17 @@ cdef _set_att(grp, int varid, name, value, nc_type xtype=-99):
# write null byte
lenarr=1; datstring = '\x00'
if 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
+ # with commit 473259b7728120bb281c52359b1af50cca2fcb72,
+ # which was included in 4.4.0-RC5.
+ if _needsworkaround_issue485:
+ ierr = nc_inq_att(grp._grpid, varid, attname, &att_type, &att_len)
+ if ierr == NC_NOERR and att_type == NC_CHAR:
+ 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)
else:
@@ -1235,14 +1267,20 @@ cdef _get_types(group):
# compound, VLEN or Enum types in a `netCDF4.Group` or `netCDF4.Dataset`.
cdef int ierr, ntypes, classp, n, _grpid
cdef nc_type xtype
- cdef nc_type typeids[NC_MAX_VARS]
+ cdef nc_type *typeids
cdef char namstring[NC_MAX_NAME+1]
_grpid = group._grpid
# get the number of user defined types in this group.
with nogil:
- ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ ierr = nc_inq_typeids(_grpid, &ntypes, NULL)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ if ntypes > 0:
+ typeids = <nc_type *>malloc(sizeof(nc_type) * ntypes)
+ with nogil:
+ ierr = nc_inq_typeids(_grpid, &ntypes, typeids)
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# create empty dictionary for CompoundType instances.
cmptypes = OrderedDict()
vltypes = OrderedDict()
@@ -1288,13 +1326,14 @@ cdef _get_types(group):
warnings.warn(msg)
continue
enumtypes[name] = enumtype
+ free(typeids)
return cmptypes, vltypes, enumtypes
cdef _get_dims(group):
# Private function to create `netCDF4.Dimension` instances for all the
# dimensions in a `netCDF4.Group` or Dataset
cdef int ierr, numdims, n, _grpid
- cdef int dimids[NC_MAX_DIMS]
+ cdef int *dimids
cdef char namstring[NC_MAX_NAME+1]
# get number of dimensions in this Group.
_grpid = group._grpid
@@ -1305,6 +1344,7 @@ cdef _get_dims(group):
# create empty dictionary for dimensions.
dimensions = OrderedDict()
if numdims > 0:
+ dimids = <int *>malloc(sizeof(int) * numdims)
if group.data_model == 'NETCDF4':
with nogil:
ierr = nc_inq_dimids(_grpid, &numdims, dimids, 0)
@@ -1320,6 +1360,7 @@ cdef _get_dims(group):
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = namstring.decode(default_encoding,unicode_error)
dimensions[name] = Dimension(group, name, id=dimids[n])
+ free(dimids)
return dimensions
cdef _get_grps(group):
@@ -1357,8 +1398,7 @@ cdef _get_vars(group):
# variables in a `netCDF4.Group` or Dataset
cdef int ierr, numvars, n, nn, numdims, varid, classp, iendian, _grpid
cdef int *varids
- cdef int dim_sizes[NC_MAX_DIMS]
- cdef int dimids[NC_MAX_DIMS]
+ cdef int *dimids
cdef nc_type xtype
cdef char namstring[NC_MAX_NAME+1]
cdef char namstring_cmp[NC_MAX_NAME+1]
@@ -1454,6 +1494,7 @@ cdef _get_vars(group):
ierr = nc_inq_varndims(_grpid, varid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ dimids = <int *>malloc(sizeof(int) * numdims)
# get dimension ids.
with nogil:
ierr = nc_inq_vardimid(_grpid, varid, dimids)
@@ -1475,6 +1516,7 @@ cdef _get_vars(group):
found = True
break
grp = grp.parent
+ free(dimids)
# create new variable instance.
if endianness == '>':
variables[name] = Variable(group, name, datatype, dimensions, id=varid, endian='big')
@@ -1539,7 +1581,7 @@ of the `netCDF4.EnumType` class.
**`data_model`**: `data_model` describes the netCDF
data model version, one of `NETCDF3_CLASSIC`, `NETCDF4`,
-`NETCDF4_CLASSIC` or `NETCDF3_64BIT`.
+`NETCDF4_CLASSIC`, `NETCDF3_64BIT_OFFSET` or `NETCDF3_64BIT_DATA`.
**`file_format`**: same as `data_model`, retained for backwards compatibility.
@@ -1596,7 +1638,7 @@ references to the parent Dataset or Group.
__pdoc__['Dataset.data_model']=\
"""`data_model` describes the netCDF
data model version, one of `NETCDF3_CLASSIC`, `NETCDF4`,
- `NETCDF4_CLASSIC` or `NETCDF3_64BIT`."""
+ `NETCDF4_CLASSIC`, `NETCDF3_64BIT_OFFSET` or `NETCDF3_64BIT_DATA`."""
__pdoc__['Dataset.file_format']=\
"""same as `data_model`, retained for backwards compatibility."""
__pdoc__['Dataset.disk_format']=\
@@ -1625,14 +1667,16 @@ references to the parent Dataset or Group.
`netCDF4.Dataset` constructor.
- **`filename`**: Name of netCDF file to hold dataset.
+ **`filename`**: Name of netCDF file to hold dataset. Can also
+ be a python 3 pathlib instance or the URL of an OpenDAP dataset.
**`mode`**: access mode. `r` means read-only; no data can be
modified. `w` means write; a new file is created, an existing file with
the same name is deleted. `a` and `r+` mean append (in analogy with
serial files); an existing file is opened for reading and writing.
Appending `s` to modes `w`, `r+` or `a` will enable unbuffered shared
- access to `NETCDF3_CLASSIC` or `NETCDF3_64BIT` formatted files.
+ access to `NETCDF3_CLASSIC`, `NETCDF3_64BIT_OFFSET` or
+ `NETCDF3_64BIT_DATA` formatted files.
Unbuffered acesss may be useful even if you don't need shared
access, since it may be faster for programs that don't access data
sequentially. This option is ignored for `NETCDF4` and `NETCDF4_CLASSIC`
@@ -1643,18 +1687,22 @@ references to the parent Dataset or Group.
exception will be raised if a file with the same name already exists.
**`format`**: underlying file format (one of `'NETCDF4',
- 'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'` or `'NETCDF3_64BIT'`. Only
- relevant if `mode = 'w'` (if `mode = 'r','a'` or `'r+'` the file format
+ 'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'`, `'NETCDF3_64BIT_OFFSET'` or
+ `'NETCDF3_64BIT_DATA'`.
+ Only relevant if `mode = 'w'` (if `mode = 'r','a'` or `'r+'` the file format
is automatically detected). Default `'NETCDF4'`, which means the data is
stored in an HDF5 file, using netCDF 4 API features. Setting
`format='NETCDF4_CLASSIC'` will create an HDF5 file, using only netCDF 3
compatibile API features. netCDF 3 clients must be recompiled and linked
against the netCDF 4 library to read files in `NETCDF4_CLASSIC` format.
`'NETCDF3_CLASSIC'` is the classic netCDF 3 file format that does not
- handle 2+ Gb files very well. `'NETCDF3_64BIT'` is the 64-bit offset
+ handle 2+ Gb files. `'NETCDF3_64BIT_OFFSET'` is the 64-bit offset
version of the netCDF 3 file format, which fully supports 2+ GB files, but
is only compatible with clients linked against netCDF version 3.6.0 or
- later.
+ later. `'NETCDF3_64BIT_DATA'` is the 64-bit data version of the netCDF 3
+ file format, which supports 64-bit dimension sizes plus unsigned and
+ 64 bit integer data types, but is only compatible with clients linked against
+ netCDF version 4.4.0 or later.
**`diskless`**: If `True`, create diskless (in memory) file.
This is an experimental feature added to the C library after the
@@ -1684,7 +1732,7 @@ references to the parent Dataset or Group.
if diskless and __netcdf4libversion__ < '4.2.1':
#diskless = False # don't raise error, instead silently ignore
raise ValueError('diskless mode requires netcdf lib >= 4.2.1, you have %s' % __netcdf4libversion__)
- bytestr = _strencode(filename)
+ bytestr = _strencode(str(filename))
path = bytestr
if mode == 'w':
_set_default_format(format=format)
@@ -1708,7 +1756,7 @@ references to the parent Dataset or Group.
# for issue 170 (nc_open'ing a DAP dataset after switching
# format to NETCDF4). This bug should be fixed in version
# 4.3.0 of the netcdf library (add a version check here?).
- _set_default_format(format='NETCDF3_64BIT')
+ _set_default_format(format='NETCDF3_64BIT_OFFSET')
elif mode == 'r':
if diskless:
ierr = nc_open(path, NC_NOWRITE | NC_DISKLESS, &grpid)
@@ -1805,9 +1853,12 @@ 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[NC_MAX_NAME + 1]
+ cdef char *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')
ELSE:
@@ -2419,7 +2470,7 @@ contain all of the matches. For example,
>>> # Get variables with x-axis attribute.
>>> vs = nc.get_variables_by_attributes(axis='X')
>>> # Get variables with matching "standard_name" attribute
- >>> nc.get_variables_by_attributes(standard_name='northward_sea_water_velocity')
+ >>> vs = nc.get_variables_by_attributes(standard_name='northward_sea_water_velocity')
Can pass in key=callable parameter and variables are returned if the
callable returns True. The callable should accept a single parameter,
@@ -2565,6 +2616,9 @@ Read-only class variables:
**`name`**: String name, used when creating a `netCDF4.Variable` with
`netCDF4.Dataset.createVariable`.
+
+**`size`**: Current `netCDF4.Dimension` size (same as `len(d)`, where `d` is a
+`netCDF4.Dimension` instance).
"""
cdef public int _dimid, _grpid
cdef public _data_model, _name, _grp
@@ -2634,6 +2688,13 @@ Read-only class variables:
def __set__(self,value):
raise AttributeError("name cannot be altered")
+ property size:
+ """current size of Dimension (calls `len` on Dimension instance)"""
+ def __get__(self):
+ return len(self)
+ def __set__(self,value):
+ raise AttributeError("size cannot be altered")
+
def __repr__(self):
if python3:
return self.__unicode__()
@@ -2671,7 +2732,7 @@ return the group that this `netCDF4.Dimension` is a member of."""
returns `True` if the `netCDF4.Dimension` instance is unlimited, `False` otherwise."""
cdef int ierr, n, numunlimdims, ndims, nvars, ngatts, xdimid
- cdef int unlimdimids[NC_MAX_DIMS]
+ cdef int *unlimdimids
if self._data_model == 'NETCDF4':
ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, NULL)
if ierr != NC_NOERR:
@@ -2679,6 +2740,7 @@ returns `True` if the `netCDF4.Dimension` instance is unlimited, `False` otherwi
if numunlimdims == 0:
return False
else:
+ unlimdimids = <int *>malloc(sizeof(int) * numunlimdims)
dimid = self._dimid
with nogil:
ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
@@ -2687,6 +2749,7 @@ returns `True` if the `netCDF4.Dimension` instance is unlimited, `False` otherwi
unlimdim_ids = []
for n from 0 <= n < numunlimdims:
unlimdim_ids.append(unlimdimids[n])
+ free(unlimdimids)
if dimid in unlimdim_ids:
return True
else:
@@ -2890,7 +2953,7 @@ behavior is similar to Fortran or Matlab, but different than numpy.
cdef int ierr, ndims, icontiguous, ideflate_level, numdims, _grpid
cdef char *varname
cdef nc_type xtype
- cdef int dimids[NC_MAX_DIMS]
+ cdef int *dimids
cdef size_t sizep, nelemsp
cdef size_t *chunksizesp
cdef float preemptionp
@@ -2984,6 +3047,8 @@ behavior is similar to Fortran or Matlab, but different than numpy.
ndims = len(dimensions)
# find dimension ids.
if ndims:
+ dims = []
+ dimids = <int *>malloc(sizeof(int) * ndims)
for n from 0 <= n < ndims:
dimname = dimensions[n]
# look for dimension in this group, and if not
@@ -2992,6 +3057,7 @@ behavior is similar to Fortran or Matlab, but different than numpy.
if dim is None:
raise KeyError("dimension %s not defined in group %s or any group in it's family tree" % (dimname, grp.path))
dimids[n] = dim._dimid
+ dims.append(dim)
# go into define mode if it's a netCDF 3 compatible
# file format. Be careful to exit define mode before
# any exceptions are raised.
@@ -3000,6 +3066,7 @@ behavior is similar to Fortran or Matlab, but different than numpy.
if ndims:
ierr = nc_def_var(self._grpid, varname, xtype, ndims,
dimids, &self._varid)
+ free(dimids)
else: # a scalar variable.
ierr = nc_def_var(self._grpid, varname, xtype, ndims,
NULL, &self._varid)
@@ -3060,6 +3127,10 @@ behavior is similar to Fortran or Matlab, but different than numpy.
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:
+ if not dims[n].isunlimited() and \
+ chunksizes[n] > dims[n].size:
+ msg = 'chunksize cannot exceed dimension size'
+ raise ValueError(msg)
chunksizesp[n] = chunksizes[n]
if chunksizes is not None or contiguous:
ierr = nc_def_var_chunking(self._grpid, self._varid, icontiguous, chunksizesp)
@@ -3201,12 +3272,13 @@ behavior is similar to Fortran or Matlab, but different than numpy.
# Private method to get variables's dimension names
cdef int ierr, numdims, n, nn
cdef char namstring[NC_MAX_NAME+1]
- cdef int dimids[NC_MAX_DIMS]
+ cdef int *dimids
# get number of dimensions for this variable.
with nogil:
ierr = nc_inq_varndims(self._grpid, self._varid, &numdims)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ dimids = <int *>malloc(sizeof(int) * numdims)
# get dimension ids.
with nogil:
ierr = nc_inq_vardimid(self._grpid, self._varid, dimids)
@@ -3221,6 +3293,7 @@ behavior is similar to Fortran or Matlab, but different than numpy.
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
name = namstring.decode(default_encoding,unicode_error)
dimensions = dimensions + (name,)
+ free(dimids)
return dimensions
def _getname(self):
@@ -3707,8 +3780,8 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
def _assign_vlen(self, elem, data):
"""private method to assign data to a single item in a VLEN variable"""
- cdef size_t startp[NC_MAX_DIMS]
- cdef size_t countp[NC_MAX_DIMS]
+ cdef size_t *startp
+ cdef size_t *countp
cdef int ndims, n
cdef nc_vlen_t *vldata
cdef char **strdata
@@ -3751,6 +3824,8 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
else:
start = [elem]
count = [1]*ndims
+ startp = <size_t *>malloc(sizeof(size_t) * ndims)
+ countp = <size_t *>malloc(sizeof(size_t) * ndims)
for n from 0 <= n < ndims:
startp[n] = start[n]
countp[n] = count[n]
@@ -3775,6 +3850,8 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
free(vldata)
+ free(startp)
+ free(countp)
def __setitem__(self, elem, data):
# This special method is used to assign to the netCDF variable
@@ -4053,9 +4130,9 @@ The default value of `mask` is `True`
"""Private method to put data into a netCDF variable"""
cdef int ierr, ndims
cdef npy_intp totelem
- cdef size_t startp[NC_MAX_DIMS]
- cdef size_t countp[NC_MAX_DIMS]
- cdef ptrdiff_t stridep[NC_MAX_DIMS]
+ cdef size_t *startp
+ cdef size_t *countp
+ cdef ptrdiff_t *stridep
cdef char **strdata
cdef void* elptr
cdef char* databuff
@@ -4071,6 +4148,9 @@ The default value of `mask` is `True`
totelem = 1
negstride = 0
sl = []
+ startp = <size_t *>malloc(sizeof(size_t) * ndims)
+ countp = <size_t *>malloc(sizeof(size_t) * ndims)
+ stridep = <ptrdiff_t *>malloc(sizeof(ptrdiff_t) * ndims)
for n from 0 <= n < ndims:
count[n] = abs(count[n]) # make -1 into +1
countp[n] = count[n]
@@ -4182,13 +4262,16 @@ The default value of `mask` is `True`
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
# free the pointer array.
free(vldata)
+ free(startp)
+ free(countp)
+ free(stridep)
def _get(self,start,count,stride):
"""Private method to retrieve data from a netCDF variable"""
cdef int ierr, ndims
- cdef size_t startp[NC_MAX_DIMS]
- cdef size_t countp[NC_MAX_DIMS]
- cdef ptrdiff_t stridep[NC_MAX_DIMS]
+ cdef size_t *startp
+ cdef size_t *countp
+ cdef ptrdiff_t *stridep
cdef ndarray data, dataarr
cdef void *elptr
cdef char **strdata
@@ -4209,6 +4292,9 @@ The default value of `mask` is `True`
# fill up startp,countp,stridep.
negstride = 0
sl = []
+ startp = <size_t *>malloc(sizeof(size_t) * ndims)
+ countp = <size_t *>malloc(sizeof(size_t) * ndims)
+ stridep = <ptrdiff_t *>malloc(sizeof(ptrdiff_t) * ndims)
for n from 0 <= n < ndims:
count[n] = abs(count[n]) # make -1 into +1
countp[n] = count[n]
@@ -4268,6 +4354,9 @@ The default value of `mask` is `True`
data[i] = strdata[i].decode(default_encoding)
# reshape the output array
data = numpy.reshape(data, shapeout)
+ # free string data internally allocated in netcdf C lib
+ ierr = nc_free_string(totelem, strdata)
+ # free the pointer array
free(strdata)
else:
# regular vlen
@@ -4291,12 +4380,18 @@ The default value of `mask` is `True`
for i from 0<=i<totelem:
arrlen = vldata[i].len
dataarr = numpy.empty(arrlen, self.dtype)
- dataarr.data = <char *>vldata[i].p
+ #dataarr.data = <char *>vldata[i].p
+ memcpy(<void*>dataarr.data, vldata[i].p, dataarr.nbytes)
data[i] = dataarr
# reshape the output array
data = numpy.reshape(data, shapeout)
- # free the pointer array.
+ # free vlen data internally allocated in netcdf C lib
+ ierr = nc_free_vlens(totelem, vldata)
+ # free the pointer array
free(vldata)
+ free(startp)
+ free(countp)
+ free(stridep)
if negstride:
# reverse data along axes with negative strides.
data = data[sl].copy() # make a copy so data is contiguous.
@@ -4378,7 +4473,7 @@ cdef _def_compound(grp, object dt, object dtype_name):
cdef size_t offset, size
cdef char *namstring
cdef char *nested_namstring
- cdef int dim_sizes[NC_MAX_DIMS]
+ cdef int *dim_sizes
bytestr = _strencode(dtype_name)
namstring = bytestr
size = dt.itemsize
@@ -4418,6 +4513,7 @@ cdef _def_compound(grp, object dt, object dtype_name):
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
else: # array compound element
ndims = len(format.shape)
+ dim_sizes = <int *>malloc(sizeof(int) * ndims)
for n from 0 <= n < ndims:
dim_sizes[n] = format.shape[n]
if format.subdtype[0].str[1] != 'V': # primitive type.
@@ -4440,6 +4536,7 @@ cdef _def_compound(grp, object dt, object dtype_name):
ndims,dim_sizes)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ free(dim_sizes)
return xtype
cdef _find_cmptype(grp, dtype):
@@ -4477,7 +4574,7 @@ cdef _read_compound(group, nc_type xtype, endian=None):
cdef int ierr, nf, numdims, ndim, classp, _grpid
cdef size_t nfields, offset
cdef nc_type field_typeid
- cdef int dim_sizes[NC_MAX_DIMS]
+ cdef int *dim_sizes
cdef char field_namstring[NC_MAX_NAME+1]
cdef char cmp_namstring[NC_MAX_NAME+1]
# get name and number of fields.
@@ -4500,6 +4597,18 @@ cdef _read_compound(group, nc_type xtype, endian=None):
&offset,
&field_typeid,
&numdims,
+ NULL)
+ if ierr != NC_NOERR:
+ raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
+ dim_sizes = <int *>malloc(sizeof(int) * numdims)
+ with nogil:
+ ierr = nc_inq_compound_field(_grpid,
+ xtype,
+ nf,
+ field_namstring,
+ &offset,
+ &field_typeid,
+ &numdims,
dim_sizes)
if ierr != NC_NOERR:
raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
@@ -4511,6 +4620,7 @@ cdef _read_compound(group, nc_type xtype, endian=None):
if numdims != 0:
for ndim from 0 <= ndim < numdims:
field_shape = field_shape + (dim_sizes[ndim],)
+ free(dim_sizes)
# check to see if this field is a nested compound type.
try:
field_type = _nctonptype[field_typeid]
@@ -4606,7 +4716,6 @@ cdef _def_vlen(grp, object dt, object dtype_name):
cdef size_t offset, size
cdef char *namstring
cdef char *nested_namstring
- cdef int dim_sizes[NC_MAX_DIMS]
if dt == str: # python string, use NC_STRING
xtype = NC_STRING
# dtype_name ignored
@@ -5139,8 +5248,8 @@ class MFDataset(Dataset):
"""
Class for reading multi-file netCDF Datasets, making variables
spanning multiple files appear as if they were in one file.
-Datasets must be in `NETCDF4_CLASSIC, NETCDF3_CLASSIC or NETCDF3_64BIT`
-format (`NETCDF4` Datasets won't work).
+Datasets must be in `NETCDF4_CLASSIC, NETCDF3_CLASSIC, NETCDF3_64BIT_OFFSET
+or NETCDF3_64BIT_DATA` format (`NETCDF4` Datasets won't work).
Adapted from [pycdf](http://pysclint.sourceforge.net/pycdf) by Andre Gosselin.
@@ -5332,7 +5441,7 @@ Example usage (See `netCDF4.MFDataset.__init__` for more details):
self._disk_format = []
for dset in self._cdf:
if dset.file_format == 'NETCDF4' or dset.data_model == 'NETCDF4':
- raise ValueError('MFNetCDF4 only works with NETCDF3_CLASSIC, NETCDF3_64BIT and NETCDF4_CLASSIC formatted files, not NETCDF4')
+ raise ValueError('MFNetCDF4 only works with NETCDF3_* and NETCDF4_CLASSIC formatted files, not NETCDF4')
self._file_format.append(dset.file_format)
self._data_model.append(dset.data_model)
self._disk_format.append(dset.disk_format)
diff --git a/netCDF4/utils.py b/netCDF4/utils.py
index 9eb3039..4d659ab 100644
--- a/netCDF4/utils.py
+++ b/netCDF4/utils.py
@@ -735,7 +735,7 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
if dounpackshort:
tmpdata = (ncvar.scale_factor*idata.astype('f')+ncvar.add_offset).astype('f')
if hasattr(ncvar,'missing_value'):
- tmpdata = numpy.where(idata == ncvar.missing_value, mval, tmpdata)
+ tmpdata = np.where(idata == ncvar.missing_value, mval, tmpdata)
else:
tmpdata = idata
var[n-istart:nmax-istart] = tmpdata
@@ -744,7 +744,7 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
if dounpackshort:
tmpdata = (ncvar.scale_factor*idata.astype('f')+ncvar.add_offset).astype('f')
if hasattr(ncvar,'missing_value'):
- tmpdata = numpy.where(idata == ncvar.missing_value, mval, tmpdata)
+ tmpdata = np.where(idata == ncvar.missing_value, mval, tmpdata)
else:
tmpdata = idata
var[0:len(unlimdim)] = tmpdata
@@ -753,7 +753,7 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
if dounpackshort:
tmpdata = (ncvar.scale_factor*idata.astype('f')+ncvar.add_offset).astype('f')
if hasattr(ncvar,'missing_value'):
- tmpdata = numpy.where(idata == ncvar.missing_value, mval, tmpdata)
+ tmpdata = np.where(idata == ncvar.missing_value, mval, tmpdata)
else:
tmpdata = idata
var[:] = tmpdata
diff --git a/netcdftime/netcdftime.py b/netcdftime/netcdftime.py
index 5e3b603..686be4e 100644
--- a/netcdftime/netcdftime.py
+++ b/netcdftime/netcdftime.py
@@ -86,7 +86,9 @@ def JulianDayFromDate(date, calendar='standard'):
month[month_lt_3] = month[month_lt_3] + 12
year[month_lt_3] = year[month_lt_3] - 1
- A = np.int64(year / 100)
+ # MC - assure array
+ # A = np.int64(year / 100)
+ A = (year / 100).astype(np.int64)
# MC
# jd = int(365.25 * (year + 4716)) + int(30.6001 * (month + 1)) + \
@@ -98,15 +100,24 @@ def JulianDayFromDate(date, calendar='standard'):
# the Julian to Gregorian Calendar
# here assumed to have occurred the day after 1582 October 4
if calendar in ['standard', 'gregorian']:
- if np.min(jd) >= 2299170.5:
- # 1582 October 15 (Gregorian Calendar)
- B = 2 - A + np.int32(A / 4)
- elif np.max(jd) < 2299160.5:
- # 1582 October 5 (Julian Calendar)
- B = np.zeros(len(jd))
- else:
+ # MC - do not have to be contiguous dates
+ # if np.min(jd) >= 2299170.5:
+ # # 1582 October 15 (Gregorian Calendar)
+ # B = 2 - A + np.int32(A / 4)
+ # elif np.max(jd) < 2299160.5:
+ # # 1582 October 5 (Julian Calendar)
+ # B = np.zeros(len(jd))
+ # else:
+ # print(date, calendar, jd)
+ # raise ValueError(
+ # 'impossible date (falls in gap between end of Julian calendar and beginning of Gregorian calendar')
+ if np.any((jd >= 2299160.5) & (jd < 2299170.5)): # missing days in Gregorian calendar
raise ValueError(
'impossible date (falls in gap between end of Julian calendar and beginning of Gregorian calendar')
+ B = np.zeros(len(jd)) # 1582 October 5 (Julian Calendar)
+ ii = np.where(jd >= 2299170.5)[0] # 1582 October 15 (Gregorian Calendar)
+ if ii.size>0:
+ B[ii] = 2 - A[ii] + np.int32(A[ii] / 4)
elif calendar == 'proleptic_gregorian':
B = 2 - A + np.int32(A / 4)
elif calendar == 'julian':
diff --git a/setup.py b/setup.py
index 014403f..8d506a5 100644
--- a/setup.py
+++ b/setup.py
@@ -71,6 +71,7 @@ def check_api(inc_dirs):
has_rename_grp = False
has_nc_inq_path = False
has_nc_inq_format_extended = False
+ has_cdf5_format = False
for d in inc_dirs:
try:
f = open(os.path.join(d,'netcdf.h'),**open_kwargs)
@@ -83,8 +84,11 @@ def check_api(inc_dirs):
has_nc_inq_path = True
if line.startswith('nc_inq_format_extended'):
has_nc_inq_format_extended = True
+ if line.startswith('#define NC_FORMAT_64BIT_DATA'):
+ has_cdf5_format = True
break
- return has_rename_grp, has_nc_inq_path, has_nc_inq_format_extended
+ return has_rename_grp, has_nc_inq_path, has_nc_inq_format_extended,\
+ has_cdf5_format
def getnetcdfvers(libdirs):
"""
@@ -387,7 +391,8 @@ if has_cython and 'sdist' not in sys.argv[1:] and 'clean' not in sys.argv[1:]:
if len(sys.argv) >= 2 and os.path.exists(netcdf4_src_c):
os.remove(netcdf4_src_c)
# this determines whether renameGroup and filepath methods will work.
- has_rename_grp, has_nc_inq_path, has_nc_inq_format_extended = check_api(inc_dirs)
+ has_rename_grp, has_nc_inq_path, has_nc_inq_format_extended, \
+ has_cdf5_format = check_api(inc_dirs)
f = open(osp.join('include', 'constants.pyx'),'w')
if has_rename_grp:
sys.stdout.write('netcdf lib has group rename capability\n')
@@ -407,6 +412,12 @@ if has_cython and 'sdist' not in sys.argv[1:] and 'clean' not in sys.argv[1:]:
else:
sys.stdout.write('netcdf lib does not have nc_inq_format_extended function\n')
f.write('DEF HAS_NC_INQ_FORMAT_EXTENDED = 0\n')
+ if has_cdf5_format:
+ sys.stdout.write('netcdf lib has cdf-5 format capability\n')
+ f.write('DEF HAS_CDF5_FORMAT = 1\n')
+ else:
+ sys.stdout.write('netcdf lib does not have cdf-5 format capability\n')
+ f.write('DEF HAS_CDF5_FORMAT = 0\n')
f.close()
ext_modules = cythonize(extensions, include_path=['include'])
else:
@@ -421,7 +432,7 @@ else:
setup(name = "netCDF4",
cmdclass = cmdclass,
- version = "1.2.1",
+ version = "1.2.2",
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/tst_atts.py b/test/tst_atts.py
index 11b1bad..9812548 100644
--- a/test/tst_atts.py
+++ b/test/tst_atts.py
@@ -81,6 +81,10 @@ class VariablesTestCase(unittest.TestCase):
v1.floatatt = FLOATATT
v1.seqatt = SEQATT
v1.stringseqatt = STRINGSEQATT
+ # 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')
f.close()
def tearDown(self):
diff --git a/test/tst_masked3.py b/test/tst_masked3.py
index c0f8ca8..a52bec7 100755
--- a/test/tst_masked3.py
+++ b/test/tst_masked3.py
@@ -58,8 +58,8 @@ class SetAutoMaskFalse(SetAutoMaskTestBase):
v = f.variables["v"][:]
self.assertEqual(v.dtype, "i2")
- self.assertIsInstance(v, np.ndarray)
- self.assertNotIsInstance(v, ma.core.MaskedArray)
+ self.assert_(isinstance(v, np.ndarray))
+ self.assert_(not isinstance(v, ma.core.MaskedArray))
assert_array_almost_equal(v, self.v)
f.close()
@@ -84,8 +84,8 @@ class SetAutoMaskFalse(SetAutoMaskTestBase):
v = f.variables["v"][:]
self.assertEqual(v.dtype, "f8")
- self.assertIsInstance(v, np.ndarray)
- self.assertNotIsInstance(v, ma.core.MaskedArray)
+ self.assert_(isinstance(v, np.ndarray))
+ self.assert_(not isinstance(v, ma.core.MaskedArray))
assert_array_almost_equal(v, self.v_scaled)
f.close()
@@ -103,8 +103,8 @@ class SetAutoMaskTrue(SetAutoMaskTestBase):
v_ma = f.variables['v'][:]
self.assertEqual(v_ma.dtype, "i2")
- self.assertIsInstance(v_ma, np.ndarray)
- self.assertIsInstance(v_ma, ma.core.MaskedArray)
+ self.assert_(isinstance(v_ma, np.ndarray))
+ self.assert_(isinstance(v_ma, ma.core.MaskedArray))
assert_array_almost_equal(v_ma, self.v_ma)
f.close()
@@ -127,8 +127,8 @@ class SetAutoMaskTrue(SetAutoMaskTestBase):
v_ma = f.variables['v'][:]
self.assertEqual(v_ma.dtype, "f8")
- self.assertIsInstance(v_ma, np.ndarray)
- self.assertIsInstance(v_ma, ma.core.MaskedArray)
+ self.assert_(isinstance(v_ma, np.ndarray))
+ self.assert_(isinstance(v_ma, ma.core.MaskedArray))
assert_array_almost_equal(v_ma, self.v_ma_scaled)
f.close()
diff --git a/test/tst_netcdftime.py b/test/tst_netcdftime.py
index f9dfa15..d79b778 100644
--- a/test/tst_netcdftime.py
+++ b/test/tst_netcdftime.py
@@ -251,24 +251,38 @@ class netcdftimeTestCase(unittest.TestCase):
assert hash(d3) == hash(d3)
# check datetime immutability
- with self.assertRaises(AttributeError):
+ # using assertRaises as a context manager
+ # only works with python >= 2.7 (issue #497).
+ #with self.assertRaises(AttributeError):
+ # d1.year = 1999
+ #with self.assertRaises(AttributeError):
+ # d1.month = 6
+ #with self.assertRaises(AttributeError):
+ # d1.day = 5
+ #with self.assertRaises(AttributeError):
+ # d1.hour = 10
+ #with self.assertRaises(AttributeError):
+ # d1.minute = 33
+ #with self.assertRaises(AttributeError):
+ # d1.second = 45
+ #with self.assertRaises(AttributeError):
+ # d1.dayofwk = 1
+ #with self.assertRaises(AttributeError):
+ # d1.dayofyr = 52
+ #with self.assertRaises(AttributeError):
+ # d1.format = '%Y'
+ try:
d1.year = 1999
- with self.assertRaises(AttributeError):
d1.month = 6
- with self.assertRaises(AttributeError):
d1.day = 5
- with self.assertRaises(AttributeError):
d1.hour = 10
- with self.assertRaises(AttributeError):
d1.minute = 33
- with self.assertRaises(AttributeError):
d1.second = 45
- with self.assertRaises(AttributeError):
d1.dayofwk = 1
- with self.assertRaises(AttributeError):
d1.dayofyr = 52
- with self.assertRaises(AttributeError):
d1.format = '%Y'
+ except AttributeError:
+ pass
# Check leading white space
self.assertEqual(
@@ -432,6 +446,24 @@ class netcdftimeTestCase(unittest.TestCase):
d = num2date(0, units, calendar='360_day')
self.assertEqual(d, datetimex(0,1,1))
+ # list around missing dates in Gregorian calendar
+ # scalar
+ units = 'days since 0001-01-01 12:00:00'
+ t1 = date2num(datetime(1582, 10, 4), units, calendar='gregorian')
+ t2 = date2num(datetime(1582, 10, 15), units, calendar='gregorian')
+ self.assertEqual(t1+1, t2)
+ # list
+ t1, t2 = date2num([datetime(1582, 10, 4), datetime(1582, 10, 15)], units, calendar='gregorian')
+ self.assertEqual(t1+1, t2)
+ t1, t2 = date2num([datetime(1582, 10, 4), datetime(1582, 10, 15)], units, calendar='standard')
+ self.assertEqual(t1+1, t2)
+ # this should fail: days missing in Gregorian calendar
+ try:
+ t1, t2, t3 = date2num([datetime(1582, 10, 4), datetime(1582, 10, 10), datetime(1582, 10, 15)], units, calendar='standard')
+ except ValueError:
+ pass
+
+
class TestDate2index(unittest.TestCase):
class TestTime:
diff --git a/test/tst_scaled.py b/test/tst_scaled.py
index 230a193..0d70e68 100755
--- a/test/tst_scaled.py
+++ b/test/tst_scaled.py
@@ -62,8 +62,8 @@ class SetAutoScaleFalse(SetAutoScaleTestBase):
v = f.variables["v"][:]
self.assertEqual(v.dtype, "i2")
- self.assertIsInstance(v, np.ndarray)
- self.assertNotIsInstance(v, ma.core.MaskedArray)
+ self.assert_(isinstance(v, np.ndarray))
+ self.assert_(not isinstance(v, ma.core.MaskedArray))
assert_array_almost_equal(v, self.v)
f.close()
@@ -87,8 +87,8 @@ class SetAutoScaleFalse(SetAutoScaleTestBase):
v_ma = f.variables["v"][:]
self.assertEqual(v_ma.dtype, "i2")
- self.assertIsInstance(v_ma, np.ndarray)
- self.assertIsInstance(v_ma, ma.core.MaskedArray)
+ self.assert_(isinstance(v_ma, np.ndarray))
+ self.assert_(isinstance(v_ma, ma.core.MaskedArray))
assert_array_almost_equal(v_ma, self.v_ma)
f.close()
@@ -106,8 +106,8 @@ class SetAutoScaleTrue(SetAutoScaleTestBase):
v_scaled = f.variables['v'][:]
self.assertEqual(v_scaled.dtype, "f8")
- self.assertIsInstance(v_scaled, np.ndarray)
- self.assertNotIsInstance(v_scaled, ma.core.MaskedArray)
+ self.assert_(isinstance(v_scaled, np.ndarray))
+ self.assert_(not isinstance(v_scaled, ma.core.MaskedArray))
assert_array_almost_equal(v_scaled, self.v_scaled)
f.close()
@@ -129,8 +129,8 @@ class SetAutoScaleTrue(SetAutoScaleTestBase):
v_ma_scaled = f.variables['v'][:]
self.assertEqual(v_ma_scaled.dtype, "f8")
- self.assertIsInstance(v_ma_scaled, np.ndarray)
- self.assertIsInstance(v_ma_scaled, ma.core.MaskedArray)
+ self.assert_(isinstance(v_ma_scaled, np.ndarray))
+ self.assert_(isinstance(v_ma_scaled, ma.core.MaskedArray))
assert_array_almost_equal(v_ma_scaled, self.v_ma_scaled)
f.close()
diff --git a/test/tst_vlen.py b/test/tst_vlen.py
index 33dc6b3..3837d3f 100644
--- a/test/tst_vlen.py
+++ b/test/tst_vlen.py
@@ -81,8 +81,14 @@ class TestInvalidDataType(unittest.TestCase):
def runTest(self):
f = Dataset(FILE_NAME, 'w', format='NETCDF3_CLASSIC')
f.createDimension('x', 1)
- with self.assertRaisesRegexp(ValueError, 'strings are only supported'):
+ # using assertRaisesRegext as a context manager
+ # only works with python >= 2.7 (issue #497)
+ #with self.assertRaisesRegexp(ValueError, 'strings are only supported'):
+ # f.createVariable('foo', str, ('x',))
+ try:
f.createVariable('foo', str, ('x',))
+ except ValueError:
+ pass
f.close()
os.remove(FILE_NAME)
--
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