[netcdf4-python] 01/05: Imported Upstream version 1.2.1
Sebastiaan Couwenberg
sebastic at moszumanska.debian.org
Sun Oct 18 11:26:48 UTC 2015
This is an automated email from the git hooks/post-receive script.
sebastic pushed a commit to branch master
in repository netcdf4-python.
commit 5fe4026c9ae38f273afb9222bc0bf54568600017
Author: Bas Couwenberg <sebastic at xs4all.nl>
Date: Sun Oct 18 12:45:01 2015 +0200
Imported Upstream version 1.2.1
---
Changelog | 13 +
docs/netCDF4/index.html | 59 +-
netCDF4/_netCDF4.c | 21057 +++++++++++++++++++++++----------------------
netCDF4/_netCDF4.pyx | 79 +-
netCDF4/utils.py | 124 +-
netcdftime/netcdftime.py | 20 +-
setup.py | 2 +-
test/tst_fancyslicing.py | 16 +-
test/tst_netcdftime.py | 15 +
test/tst_slicing.py | 1 +
test/tst_utils.py | 4 +-
test/tst_vlen.py | 8 +
12 files changed, 11177 insertions(+), 10221 deletions(-)
diff --git a/Changelog b/Changelog
index 5b96f88..106ef92 100644
--- a/Changelog
+++ b/Changelog
@@ -1,3 +1,16 @@
+ version 1.2.1 (tag v1.2.1rel)
+ =============================
+ * add the capability to slice variables with unsorted integer sequences,
+ or integer sequences with duplicates (issue #467). This was done
+ by converting boolean array slices to integer array slices internally,
+ instead of the other way around.
+ * raise TypeError if masked array assigned to a VLEN str variable slice
+ (issue #464).
+ * Ellipsis now can be used with scalar VLEN str variables (issue #458).
+ Slicing of scalar VLEN (non-str) variables now works.
+ * Allow non-positive reference years in non-real-world calendars
+ (issue #442).
+
version 1.2.0 (tag v1.2.0rel)
=============================
* Fixes to setup.py for building on windows (issue #460).
diff --git a/docs/netCDF4/index.html b/docs/netCDF4/index.html
index d1ca8e1..81448d5 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 1.2.0
+ <meta name="description" content="Version 1.2.1
-------------
- - -
@@ -1251,7 +1251,7 @@ table {
<header id="section-intro">
<h1 class="title"><span class="name">netCDF4</span> module</h1>
- <h2>Version 1.2.0</h2>
+ <h2>Version 1.2.1</h2>
<hr />
<h1>Introduction</h1>
<p>netcdf4-python is a Python interface to the netCDF C library. </p>
@@ -1343,7 +1343,7 @@ types) are not supported.</p>
<li><a href="#section7">Dealing with time coordinates.</a></li>
<li><a href="#section8">Reading data from a multi-file netCDF dataset.</a></li>
<li><a href="#section9">Efficient compression of netCDF variables.</a></li>
-<li><a href="#section10">Beyond homogenous arrays of a fixed type - compound data types.</a></li>
+<li><a href="#section10">Beyond homogeneous arrays of a fixed type - compound data types.</a></li>
<li><a href="#section11">Variable-length (vlen) data types.</a></li>
<li><a href="#section12">Enum data type.</a></li>
</ol>
@@ -1724,7 +1724,8 @@ Similarly, a netCDF variable of shape <code>(2,3,4,5)</code> indexed
with <code>[0, array([True, False, True]), array([False, True, True, True]), :]</code>
would return a <code>(2, 3, 5)</code> array. In NumPy, this would raise an error since
it would be equivalent to <code>[0, [0,1], [1,2,3], :]</code>. When slicing with integer
-sequences, the indices must be sorted in increasing order and contain no duplicates.
+sequences, the indices <strong><em>need not be sorted</em></strong> and <strong><em>may contain
+duplicates</em></strong> (both of these are new features in version 1.2.1).
While this behaviour may cause some confusion for those used to NumPy's 'fancy indexing' rules,
it provides a very powerful way to extract data from multidimensional netCDF
variables by using logical operations on the dimension arrays to create slices.</p>
@@ -1862,7 +1863,7 @@ sacrificed for the sake of disk space.</p>
<p>and see how much smaller the resulting files are.</p>
-<h2><div id='section10'>10) Beyond homogenous arrays of a fixed type - compound data types.</h2>
+<h2><div id='section10'>10) Beyond homogeneous arrays of a fixed type - compound data types.</h2>
<p>Compound data types map directly to numpy structured (a.k.a 'record'
arrays). Structured arrays are akin to C structs, or derived types
in Fortran. They allow for the construction of table-like structures
@@ -2690,7 +2691,7 @@ parent Dataset instance is garbage collected.</p></div>
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
-are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
+are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
@@ -2946,16 +2947,16 @@ contain all of the matches. For example, </p>
</pre></div>
-<p>Can pass in key=callable parameter and if the callable returns
-True. The callable should accept a single parameter, the attribute
-value. None is returned as the attribute value when the attribute
-does not exist on the variable., For example,</p>
+<p>Can pass in key=callable parameter and variables are returned if the
+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>
<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 variable that don't have a "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c"># Get variable 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">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="ow">not</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="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">
</div>
@@ -3700,7 +3701,7 @@ instances, raises IOError.</p></div>
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
-are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
+are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
@@ -3988,16 +3989,16 @@ contain all of the matches. For example, </p>
</pre></div>
-<p>Can pass in key=callable parameter and if the callable returns
-True. The callable should accept a single parameter, the attribute
-value. None is returned as the attribute value when the attribute
-does not exist on the variable., For example,</p>
+<p>Can pass in key=callable parameter and variables are returned if the
+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>
<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 variable that don't have a "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c"># Get variable 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">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="ow">not</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="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">
</div>
@@ -4585,7 +4586,7 @@ variable-length types defined for the <a href="#netCDF4.Group"><code>Group</code
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
-are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
+are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
@@ -4873,16 +4874,16 @@ contain all of the matches. For example, </p>
</pre></div>
-<p>Can pass in key=callable parameter and if the callable returns
-True. The callable should accept a single parameter, the attribute
-value. None is returned as the attribute value when the attribute
-does not exist on the variable., For example,</p>
+<p>Can pass in key=callable parameter and variables are returned if the
+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>
<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 variable that don't have a "axis" attribute</span>
+<span class="o">>>></span> <span class="c"># Get variables that don't have an "axis" attribute</span>
<span class="o">>>></span> <span class="n">vs</span> <span class="o">=</span> <span class="n">nc</span><span class="o">.</span><span class="n">get_variables_by_attributes</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="k">lambda</span> <span class="n">v</span><span class="p">:</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">)</span>
-<span class="o">>>></span> <span class="c"># Get variable 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">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="ow">not</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="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">
</div>
diff --git a/netCDF4/_netCDF4.c b/netCDF4/_netCDF4.c
index c43e304..0e8180e 100644
--- a/netCDF4/_netCDF4.c
+++ b/netCDF4/_netCDF4.c
@@ -468,7 +468,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__strencode;
struct __pyx_defaults;
typedef struct __pyx_defaults __pyx_defaults;
-/* "netCDF4/_netCDF4.pyx":1180
+/* "netCDF4/_netCDF4.pyx":1181
* return 'UNDEFINED'
*
* cdef _set_att(grp, int varid, name, value, nc_type xtype=-99): # <<<<<<<<<<<<<<
@@ -480,7 +480,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__set_att {
nc_type xtype;
};
-/* "netCDF4/_netCDF4.pyx":4457
+/* "netCDF4/_netCDF4.pyx":4472
* return xtype
*
* cdef _read_compound(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -492,7 +492,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_compound {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4614
+/* "netCDF4/_netCDF4.pyx":4629
* return xtype, dt
*
* cdef _read_vlen(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -504,7 +504,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_vlen {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4733
+/* "netCDF4/_netCDF4.pyx":4748
* return xtype, dt
*
* cdef _read_enum(group, nc_type xtype, endian=None): # <<<<<<<<<<<<<<
@@ -516,7 +516,7 @@ struct __pyx_opt_args_7netCDF4_8_netCDF4__read_enum {
PyObject *endian;
};
-/* "netCDF4/_netCDF4.pyx":4769
+/* "netCDF4/_netCDF4.pyx":4784
* return EnumType(group, dt, name, enum_dict, typeid=xtype)
*
* cdef _strencode(pystr,encoding=None): # <<<<<<<<<<<<<<
@@ -531,7 +531,7 @@ struct __pyx_defaults {
PyObject *__pyx_arg_exclude;
};
-/* "netCDF4/_netCDF4.pyx":1496
+/* "netCDF4/_netCDF4.pyx":1497
* __pdoc__ = {}
*
* cdef class Dataset: # <<<<<<<<<<<<<<
@@ -559,7 +559,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dataset {
};
-/* "netCDF4/_netCDF4.pyx":2458
+/* "netCDF4/_netCDF4.pyx":2459
*
*
* cdef class Group(Dataset): # <<<<<<<<<<<<<<
@@ -571,7 +571,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Group {
};
-/* "netCDF4/_netCDF4.pyx":2553
+/* "netCDF4/_netCDF4.pyx":2554
*
*
* cdef class Dimension: # <<<<<<<<<<<<<<
@@ -588,7 +588,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Dimension {
};
-/* "netCDF4/_netCDF4.pyx":2702
+/* "netCDF4/_netCDF4.pyx":2703
* return False
*
* cdef class Variable: # <<<<<<<<<<<<<<
@@ -617,7 +617,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_Variable {
};
-/* "netCDF4/_netCDF4.pyx":4298
+/* "netCDF4/_netCDF4.pyx":4313
* # Compound datatype support.
*
* cdef class CompoundType: # <<<<<<<<<<<<<<
@@ -632,7 +632,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_CompoundType {
};
-/* "netCDF4/_netCDF4.pyx":4528
+/* "netCDF4/_netCDF4.pyx":4543
* # VLEN datatype support.
*
* cdef class VLType: # <<<<<<<<<<<<<<
@@ -647,7 +647,7 @@ struct __pyx_obj_7netCDF4_8_netCDF4_VLType {
};
-/* "netCDF4/_netCDF4.pyx":4643
+/* "netCDF4/_netCDF4.pyx":4658
* # Enum datatype support.
*
* cdef class EnumType: # <<<<<<<<<<<<<<
@@ -979,6 +979,15 @@ static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, long intval, i
PyObject_RichCompare(op1, op2, Py_EQ)
#endif
+#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
+ (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
+ __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\
+ (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\
+ __Pyx_SetItemInt_Generic(o, to_py_func(i), v)))
+static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v);
+static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v,
+ int is_list, int wraparound, int boundscheck);
+
static double __Pyx__PyObject_AsDouble(PyObject* obj);
#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyObject_AsDouble(obj)\
@@ -1010,15 +1019,6 @@ static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long int
(inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2))
#endif
-#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
- (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
- __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\
- (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\
- __Pyx_SetItemInt_Generic(o, to_py_func(i), v)))
-static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v);
-static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v,
- int is_list, int wraparound, int boundscheck);
-
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg);
static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x);
@@ -1216,6 +1216,7 @@ static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_IndexError;
static PyObject *__pyx_builtin_IOError;
static PyObject *__pyx_builtin_enumerate;
+static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_sum;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_UnicodeDecodeError;
@@ -1310,7 +1311,7 @@ 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__124[] = ".";
+static char __pyx_k__125[] = ".";
static char __pyx_k_bool[] = "bool";
static char __pyx_k_cdfm[] = "cdfm";
static char __pyx_k_char[] = "char";
@@ -1369,7 +1370,7 @@ 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_0[] = "1.2.0";
+static char __pyx_k_1_2_1[] = "1.2.1";
static char __pyx_k_4_2_1[] = "4.2.1";
static char __pyx_k_align[] = "align";
static char __pyx_k_array[] = "array";
@@ -1439,6 +1440,7 @@ static char __pyx_k_groups[] = "groups";
static char __pyx_k_import[] = "__import__";
static char __pyx_k_isenum[] = "_isenum";
static char __pyx_k_isvlen[] = "_isvlen";
+static char __pyx_k_julian[] = "julian";
static char __pyx_k_little[] = "little";
static char __pyx_k_lstArr[] = "lstArr";
static char __pyx_k_master[] = "master";
@@ -1514,6 +1516,7 @@ static char __pyx_k_varname[] = "varname";
static char __pyx_k_version[] = "__version__";
static char __pyx_k_vltypes[] = "vltypes";
static char __pyx_k_weakref[] = "weakref";
+static char __pyx_k_Ellipsis[] = "Ellipsis";
static char __pyx_k_KeyError[] = "KeyError";
static char __pyx_k_NUMCHARS[] = "NUMCHARS";
static char __pyx_k_Variable[] = "_Variable";
@@ -1780,9 +1783,9 @@ static char __pyx_k_Class_for_reading_multi_file_ne[] = "\nClass for reading mul
static char __pyx_k_Class_providing_an_interface_to[] = "\nClass providing an interface to a MFDataset time Variable by imposing a unique common\ntime unit to all files. \n\nExample usage (See `netCDF4.MFTime.__init__` for more details):\n\n :::python\n >>> import numpy\n >>> f1 = Dataset(\"mftest_1.nc\",\"w\", format=\"NETCDF4_CLASSIC\")\n >>> f2 = Dataset(\"mftest_2.nc\",\"w\", format=\"NETCDF4_CLASSIC\")\n >>> f1.createDimension(\"time\",None)\n >>> f2.createDimensio [...]
static char __pyx_k_FillValue_attribute_must_be_set[] = "_FillValue attribute must be set when variable is ";
static char __pyx_k_The_vltypes_dictionary_maps_the[] = "The `vltypes` dictionary maps the names of\n variable-length types defined for the `netCDF4.Group` or `netCDF4.Dataset` to instances of the\n `netCDF4.VLType` class.";
+static char __pyx_k_Users_jsw_python_netcdf4_python[] = "/Users/jsw/python/netcdf4-python.git/netCDF4/_netCDF4.pyx";
static char __pyx_k_Variable_object_no_longer_valid[] = "Variable object no longer valid";
-static char __pyx_k_Version_1_2_0_Introduction_netc[] = "\nVersion 1.2.0\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_Volumes_Drobo_python_netcdf4_py[] = "/Volumes/Drobo/python/netcdf4-python.git/netCDF4/_netCDF4.pyx";
+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_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";
@@ -1790,10 +1793,11 @@ static char __pyx_k_data_model_describes_the_netCDF[] = "`data_model` describes
static char __pyx_k_disk_format_describes_the_under[] = "`disk_format` describes the underlying\n file format, one of `NETCDF3`, `HDF5`, `HDF4`,\n `PNETCDF`, `DAP2`, `DAP4` or `UNDEFINED`. Only available if using\n netcdf C library version >= 4.3.1, otherwise will always return\n `UNDEFINED`.";
static char __pyx_k_endian_keyword_argument_must_be[] = "'endian' keyword argument must be 'little','big' or 'native', got '%s'";
static char __pyx_k_endian_ness_of_dtype_and_endian[] = "endian-ness of dtype and endian kwarg do not match, using endian kwarg";
-static char __pyx_k_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 >>> nc.get_variabl [...]
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";
+static char __pyx_k_negative_reference_year_in_time[] = "negative reference year in time units, must be >= 1";
static char __pyx_k_netcdf_time_variable_is_missing[] = "netcdf time variable is missing a 'units' attribute";
static char __pyx_k_parent_is_a_reference_to_the_pa[] = "`parent` is a reference to the parent\n `netCDF4.Group` instance. `None` for the root group or `netCDF4.Dataset` instance";
static char __pyx_k_s_is_one_of_the_reserved_attrib[] = "'%s' is one of the reserved attributes %s, cannot delete. Use delncattr instead.";
@@ -1801,10 +1805,11 @@ static char __pyx_k_same_as_data_model_retained_for[] = "same as `data_model`, r
static char __pyx_k_single_element_VLEN_slices_must[] = "single element VLEN slices must be specified by integers only";
static char __pyx_k_wrong_data_type_in_object_array[] = "wrong data type in object array: should be %s, got %s";
static char __pyx_k_wrong_data_type_should_be_s_got[] = "wrong data type: should be %s, got %s";
+static char __pyx_k_zero_not_allowed_as_a_reference[] = "zero not allowed as a reference year, does not exist in Julian or Gregorian calendars";
static char __pyx_k_A_numpy_integer_dtype_object_des[] = "A numpy integer dtype object describing the base type for the Enum.";
static char __pyx_k_A_python_dictionary_describing_t[] = "A python dictionary describing the enum fields and values.";
static char __pyx_k_A_tuple_with_the_current_shape_l[] = "A tuple with the current shape (length of all dimensions).";
-static char __pyx_k_Dataset_get_variables_by_attribu[] = "Dataset.get_variables_by_attributes (line 2408)";
+static char __pyx_k_Dataset_get_variables_by_attribu[] = "Dataset.get_variables_by_attributes (line 2409)";
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.";
@@ -1831,6 +1836,7 @@ static char __pyx_k_attribute_s_has_unsupported_data[] = "attribute %s has unsup
static char __pyx_k_cannot_assign_fill_value_for_mas[] = "cannot assign fill_value for masked array when missing_value attribute is not a scalar";
static char __pyx_k_cannot_close_a_netCDF4_Group_onl[] = "cannot close a `netCDF4.Group` (only applies to Dataset)";
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_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";
@@ -1845,6 +1851,7 @@ static char __pyx_k_format_must_be_NETCDF4_NETCDF4_C[] = "format must be 'NETCDF
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...";
+static char __pyx_k_masked_arrays_cannot_be_assigned[] = "masked arrays cannot be assigned by VLEN str slices";
static char __pyx_k_master_dataset_s_does_not_have_a[] = "master dataset %s does not have a aggregation dimension";
static char __pyx_k_negative_strides_not_allowed_whe[] = "negative strides not allowed when slicing MFVariable Variable instance";
static char __pyx_k_numpy_data_type_for_primitive_da[] = "numpy data type (for primitive data types) or\n VLType/CompoundType/EnumType instance \n (for compound, vlen or enum data types)";
@@ -1883,7 +1890,7 @@ static char __pyx_k_unsupported_datatype_specified_f_2[] = "unsupported datatype
static PyObject *__pyx_kp_s_;
static PyObject *__pyx_kp_s_0m;
static PyObject *__pyx_kp_s_1;
-static PyObject *__pyx_kp_s_1_2_0;
+static PyObject *__pyx_kp_s_1_2_1;
static PyObject *__pyx_kp_s_4_2_1;
static PyObject *__pyx_kp_s_4m;
static PyObject *__pyx_kp_s_A_numpy_dtype_object_describing;
@@ -1922,6 +1929,7 @@ static PyObject *__pyx_n_s_Dimension___repr;
static PyObject *__pyx_n_s_Dimension_isunlimited;
static PyObject *__pyx_kp_s_Dimension_name;
static PyObject *__pyx_kp_s_Dimension_object_no_longer_valid;
+static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_EnumType_dtype;
static PyObject *__pyx_kp_s_EnumType_enum_dict;
static PyObject *__pyx_kp_s_EnumType_name;
@@ -1980,6 +1988,7 @@ 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;
+static PyObject *__pyx_kp_s_Users_jsw_python_netcdf4_python;
static PyObject *__pyx_n_s_V;
static PyObject *__pyx_kp_s_VLType_dtype;
static PyObject *__pyx_kp_s_VLType_name;
@@ -2007,7 +2016,6 @@ static PyObject *__pyx_n_s_Variable_set_auto_maskandscale;
static PyObject *__pyx_kp_s_Variable_shape;
static PyObject *__pyx_kp_s_Variable_size;
static PyObject *__pyx_n_s_Variable_typecode;
-static PyObject *__pyx_kp_s_Volumes_Drobo_python_netcdf4_py;
static PyObject *__pyx_kp_s_WARNING_unsupported_Compound_typ;
static PyObject *__pyx_kp_s_WARNING_unsupported_Enum_type_sk;
static PyObject *__pyx_kp_s_WARNING_unsupported_VLEN_type_sk;
@@ -2016,7 +2024,7 @@ 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__124;
+static PyObject *__pyx_kp_s__125;
static PyObject *__pyx_kp_s__13;
static PyObject *__pyx_kp_s__14;
static PyObject *__pyx_kp_s__17;
@@ -2062,6 +2070,7 @@ static PyObject *__pyx_kp_s_cannot_close_a_netCDF4_Group_onl;
static PyObject *__pyx_kp_s_cannot_find_compound_type_in_thi;
static PyObject *__pyx_kp_s_cannot_set__FillValue_attribute;
static PyObject *__pyx_kp_s_cannot_specify_chunksizes_for_a;
+static PyObject *__pyx_kp_s_cannot_use_utc_offset_for_refere;
static PyObject *__pyx_kp_s_cannot_using_file_globbing_for_r;
static PyObject *__pyx_n_s_cdf;
static PyObject *__pyx_n_s_cdfRecVar;
@@ -2258,6 +2267,7 @@ static PyObject *__pyx_n_s_itertools;
static PyObject *__pyx_n_s_iu;
static PyObject *__pyx_n_s_izip;
static PyObject *__pyx_n_s_join;
+static PyObject *__pyx_n_s_julian;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_keepweakref;
static PyObject *__pyx_n_s_key;
@@ -2275,6 +2285,7 @@ static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_majorvers;
static PyObject *__pyx_n_s_mask;
static PyObject *__pyx_n_s_masked_array;
+static PyObject *__pyx_kp_s_masked_arrays_cannot_be_assigned;
static PyObject *__pyx_n_s_master;
static PyObject *__pyx_n_s_masterDims;
static PyObject *__pyx_n_s_masterRecVar;
@@ -2315,6 +2326,7 @@ 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_kp_s_negative_reference_year_in_time;
static PyObject *__pyx_kp_s_negative_strides_not_allowed_whe;
static PyObject *__pyx_n_s_nelems;
static PyObject *__pyx_n_s_netCDF4__netCDF4;
@@ -2530,6 +2542,7 @@ static PyObject *__pyx_kp_s_wrong_data_type_in_object_array;
static PyObject *__pyx_kp_s_wrong_data_type_should_be_s_got;
static PyObject *__pyx_n_s_ws;
static PyObject *__pyx_n_s_year;
+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;
@@ -2916,99 +2929,100 @@ static PyObject *__pyx_tuple__94;
static PyObject *__pyx_tuple__95;
static PyObject *__pyx_tuple__98;
static PyObject *__pyx_tuple__99;
-static PyObject *__pyx_slice__104;
-static PyObject *__pyx_slice__109;
+static PyObject *__pyx_slice__105;
static PyObject *__pyx_slice__110;
static PyObject *__pyx_slice__111;
static PyObject *__pyx_slice__112;
-static PyObject *__pyx_slice__115;
+static PyObject *__pyx_slice__113;
static PyObject *__pyx_slice__116;
static PyObject *__pyx_slice__117;
-static PyObject *__pyx_slice__119;
+static PyObject *__pyx_slice__118;
+static PyObject *__pyx_slice__120;
static PyObject *__pyx_tuple__100;
static PyObject *__pyx_tuple__101;
static PyObject *__pyx_tuple__102;
static PyObject *__pyx_tuple__103;
-static PyObject *__pyx_tuple__105;
+static PyObject *__pyx_tuple__104;
static PyObject *__pyx_tuple__106;
static PyObject *__pyx_tuple__107;
static PyObject *__pyx_tuple__108;
-static PyObject *__pyx_tuple__113;
+static PyObject *__pyx_tuple__109;
static PyObject *__pyx_tuple__114;
-static PyObject *__pyx_tuple__118;
-static PyObject *__pyx_tuple__120;
+static PyObject *__pyx_tuple__115;
+static PyObject *__pyx_tuple__119;
static PyObject *__pyx_tuple__121;
static PyObject *__pyx_tuple__122;
static PyObject *__pyx_tuple__123;
-static PyObject *__pyx_tuple__125;
+static PyObject *__pyx_tuple__124;
static PyObject *__pyx_tuple__126;
static PyObject *__pyx_tuple__127;
-static PyObject *__pyx_tuple__130;
+static PyObject *__pyx_tuple__128;
static PyObject *__pyx_tuple__131;
static PyObject *__pyx_tuple__132;
-static PyObject *__pyx_tuple__134;
+static PyObject *__pyx_tuple__133;
static PyObject *__pyx_tuple__135;
-static PyObject *__pyx_tuple__137;
-static PyObject *__pyx_tuple__139;
-static PyObject *__pyx_tuple__141;
-static PyObject *__pyx_tuple__143;
-static PyObject *__pyx_tuple__145;
-static PyObject *__pyx_tuple__147;
-static PyObject *__pyx_tuple__149;
-static PyObject *__pyx_tuple__151;
-static PyObject *__pyx_tuple__153;
-static PyObject *__pyx_tuple__155;
-static PyObject *__pyx_tuple__157;
-static PyObject *__pyx_tuple__159;
-static PyObject *__pyx_tuple__161;
-static PyObject *__pyx_tuple__163;
-static PyObject *__pyx_tuple__165;
-static PyObject *__pyx_tuple__167;
-static PyObject *__pyx_tuple__169;
-static PyObject *__pyx_tuple__171;
-static PyObject *__pyx_tuple__173;
-static PyObject *__pyx_tuple__175;
-static PyObject *__pyx_tuple__177;
-static PyObject *__pyx_tuple__179;
-static PyObject *__pyx_tuple__181;
-static PyObject *__pyx_tuple__183;
-static PyObject *__pyx_tuple__185;
-static PyObject *__pyx_tuple__187;
-static PyObject *__pyx_tuple__189;
+static PyObject *__pyx_tuple__136;
+static PyObject *__pyx_tuple__138;
+static PyObject *__pyx_tuple__140;
+static PyObject *__pyx_tuple__142;
+static PyObject *__pyx_tuple__144;
+static PyObject *__pyx_tuple__146;
+static PyObject *__pyx_tuple__148;
+static PyObject *__pyx_tuple__150;
+static PyObject *__pyx_tuple__152;
+static PyObject *__pyx_tuple__154;
+static PyObject *__pyx_tuple__156;
+static PyObject *__pyx_tuple__158;
+static PyObject *__pyx_tuple__160;
+static PyObject *__pyx_tuple__162;
+static PyObject *__pyx_tuple__164;
+static PyObject *__pyx_tuple__166;
+static PyObject *__pyx_tuple__168;
+static PyObject *__pyx_tuple__170;
+static PyObject *__pyx_tuple__172;
+static PyObject *__pyx_tuple__174;
+static PyObject *__pyx_tuple__176;
+static PyObject *__pyx_tuple__178;
+static PyObject *__pyx_tuple__180;
+static PyObject *__pyx_tuple__182;
+static PyObject *__pyx_tuple__184;
+static PyObject *__pyx_tuple__186;
+static PyObject *__pyx_tuple__188;
static PyObject *__pyx_tuple__190;
-static PyObject *__pyx_codeobj__128;
+static PyObject *__pyx_tuple__191;
static PyObject *__pyx_codeobj__129;
-static PyObject *__pyx_codeobj__133;
-static PyObject *__pyx_codeobj__136;
-static PyObject *__pyx_codeobj__138;
-static PyObject *__pyx_codeobj__140;
-static PyObject *__pyx_codeobj__142;
-static PyObject *__pyx_codeobj__144;
-static PyObject *__pyx_codeobj__146;
-static PyObject *__pyx_codeobj__148;
-static PyObject *__pyx_codeobj__150;
-static PyObject *__pyx_codeobj__152;
-static PyObject *__pyx_codeobj__154;
-static PyObject *__pyx_codeobj__156;
-static PyObject *__pyx_codeobj__158;
-static PyObject *__pyx_codeobj__160;
-static PyObject *__pyx_codeobj__162;
-static PyObject *__pyx_codeobj__164;
-static PyObject *__pyx_codeobj__166;
-static PyObject *__pyx_codeobj__168;
-static PyObject *__pyx_codeobj__170;
-static PyObject *__pyx_codeobj__172;
-static PyObject *__pyx_codeobj__174;
-static PyObject *__pyx_codeobj__176;
-static PyObject *__pyx_codeobj__178;
-static PyObject *__pyx_codeobj__180;
-static PyObject *__pyx_codeobj__182;
-static PyObject *__pyx_codeobj__184;
-static PyObject *__pyx_codeobj__186;
-static PyObject *__pyx_codeobj__188;
-static PyObject *__pyx_codeobj__191;
-
-/* "netCDF4/_netCDF4.pyx":947
+static PyObject *__pyx_codeobj__130;
+static PyObject *__pyx_codeobj__134;
+static PyObject *__pyx_codeobj__137;
+static PyObject *__pyx_codeobj__139;
+static PyObject *__pyx_codeobj__141;
+static PyObject *__pyx_codeobj__143;
+static PyObject *__pyx_codeobj__145;
+static PyObject *__pyx_codeobj__147;
+static PyObject *__pyx_codeobj__149;
+static PyObject *__pyx_codeobj__151;
+static PyObject *__pyx_codeobj__153;
+static PyObject *__pyx_codeobj__155;
+static PyObject *__pyx_codeobj__157;
+static PyObject *__pyx_codeobj__159;
+static PyObject *__pyx_codeobj__161;
+static PyObject *__pyx_codeobj__163;
+static PyObject *__pyx_codeobj__165;
+static PyObject *__pyx_codeobj__167;
+static PyObject *__pyx_codeobj__169;
+static PyObject *__pyx_codeobj__171;
+static PyObject *__pyx_codeobj__173;
+static PyObject *__pyx_codeobj__175;
+static PyObject *__pyx_codeobj__177;
+static PyObject *__pyx_codeobj__179;
+static PyObject *__pyx_codeobj__181;
+static PyObject *__pyx_codeobj__183;
+static PyObject *__pyx_codeobj__185;
+static PyObject *__pyx_codeobj__187;
+static PyObject *__pyx_codeobj__189;
+static PyObject *__pyx_codeobj__192;
+
+/* "netCDF4/_netCDF4.pyx":948
* # check for required version of netcdf-4 and hdf5.
*
* def _gethdf5libversion(): # <<<<<<<<<<<<<<
@@ -3048,7 +3062,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4__gethdf5libversion(CYTHON_UNUSED Py
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_gethdf5libversion", 0);
- /* "netCDF4/_netCDF4.pyx":948
+ /* "netCDF4/_netCDF4.pyx":949
*
* def _gethdf5libversion():
* majorvers = H5_VERS_MAJOR # <<<<<<<<<<<<<<
@@ -3057,7 +3071,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4__gethdf5libversion(CYTHON_UNUSED Py
*/
__pyx_v_majorvers = H5_VERS_MAJOR;
- /* "netCDF4/_netCDF4.pyx":949
+ /* "netCDF4/_netCDF4.pyx":950
* def _gethdf5libversion():
* majorvers = H5_VERS_MAJOR
* minorvers = H5_VERS_MINOR # <<<<<<<<<<<<<<
@@ -3066,7 +3080,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4__gethdf5libversion(CYTHON_UNUSED Py
*/
__pyx_v_minorvers = H5_VERS_MINOR;
- /* "netCDF4/_netCDF4.pyx":950
+ /* "netCDF4/_netCDF4.pyx":951
* majorvers = H5_VERS_MAJOR
* minorvers = H5_VERS_MINOR
* releasevers = H5_VERS_RELEASE # <<<<<<<<<<<<<<
@@ -3075,30 +3089,30 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4__gethdf5libversion(CYTHON_UNUSED Py
*/
__pyx_v_releasevers = H5_VERS_RELEASE;
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goto __pyx_L0;
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return __pyx_r;
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- /* "netCDF4/_netCDF4.pyx":1050
+ /* "netCDF4/_netCDF4.pyx":1051
* for n from 0 <= n < numatts:
* with nogil:
* ierr = nc_inq_attname(grpid, varid, n, namstring) # <<<<<<<<<<<<<<
@@ -3494,7 +3508,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
__pyx_v_ierr = nc_inq_attname(__pyx_v_grpid, __pyx_v_varid, __pyx_v_n, __pyx_v_namstring);
}
- /* "netCDF4/_netCDF4.pyx":1049
+ /* "netCDF4/_netCDF4.pyx":1050
* attslist = []
* for n from 0 <= n < numatts:
* with nogil: # <<<<<<<<<<<<<<
@@ -3512,7 +3526,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
}
}
- /* "netCDF4/_netCDF4.pyx":1051
+ /* "netCDF4/_netCDF4.pyx":1052
* with nogil:
* ierr = nc_inq_attname(grpid, varid, n, namstring)
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if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":1052
+ /* "netCDF4/_netCDF4.pyx":1053
* ierr = nc_inq_attname(grpid, varid, n, namstring)
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__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 = 1052; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1051
+ /* "netCDF4/_netCDF4.pyx":1052
* with nogil:
* ierr = nc_inq_attname(grpid, varid, n, namstring)
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@@ -3554,21 +3568,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
*/
}
- /* "netCDF4/_netCDF4.pyx":1053
+ /* "netCDF4/_netCDF4.pyx":1054
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* attslist.append(namstring.decode(default_encoding,unicode_error)) # <<<<<<<<<<<<<<
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*/
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+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_decode); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
- __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_9 = 0;
@@ -3582,7 +3596,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
__pyx_t_9 = 1;
}
}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_10);
if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -3593,15 +3607,15 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att_names(int __pyx_v_grpid, in
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_4 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
- __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_attslist, __pyx_t_3); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1053; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_attslist, __pyx_t_3); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1054; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
}
- /* "netCDF4/_netCDF4.pyx":1054
+ /* "netCDF4/_netCDF4.pyx":1055
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* attslist.append(namstring.decode(default_encoding,unicode_error))
* return attslist # <<<<<<<<<<<<<<
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__pyx_r = __pyx_v_attslist;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":1035
+ /* "netCDF4/_netCDF4.pyx":1036
* # internal C functions.
*
* cdef _get_att_names(int grpid, int varid): # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1056
+/* "netCDF4/_netCDF4.pyx":1057
* return attslist
*
* cdef _get_att(grp, int varid, name): # <<<<<<<<<<<<<<
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_get_att", 0);
- /* "netCDF4/_netCDF4.pyx":1064
+ /* "netCDF4/_netCDF4.pyx":1065
* cdef nc_type att_type
* cdef ndarray value_arr
* bytestr = _strencode(name) # <<<<<<<<<<<<<<
* attname = bytestr
* _grpid = grp._grpid
*/
- __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 = 1064; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 1065; __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":1065
+ /* "netCDF4/_netCDF4.pyx":1066
* cdef ndarray value_arr
* bytestr = _strencode(name)
* attname = bytestr # <<<<<<<<<<<<<<
* _grpid = grp._grpid
* with nogil:
*/
- __pyx_t_2 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_2) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1065; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyObject_AsString(__pyx_v_bytestr); if (unlikely((!__pyx_t_2) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1066; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_attname = __pyx_t_2;
- /* "netCDF4/_netCDF4.pyx":1066
+ /* "netCDF4/_netCDF4.pyx":1067
* bytestr = _strencode(name)
* attname = bytestr
* _grpid = grp._grpid # <<<<<<<<<<<<<<
* with nogil:
* ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
*/
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_grpid); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1067; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v__grpid = __pyx_t_3;
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+ /* "netCDF4/_netCDF4.pyx":1068
* attname = bytestr
* _grpid = grp._grpid
* with nogil: # <<<<<<<<<<<<<<
@@ -3739,7 +3753,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1068
+ /* "netCDF4/_netCDF4.pyx":1069
* _grpid = grp._grpid
* with nogil:
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@@ -3749,7 +3763,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
__pyx_v_ierr = nc_inq_att(__pyx_v__grpid, __pyx_v_varid, __pyx_v_attname, (&__pyx_v_att_type), (&__pyx_v_att_len));
}
- /* "netCDF4/_netCDF4.pyx":1067
+ /* "netCDF4/_netCDF4.pyx":1068
* attname = bytestr
* _grpid = grp._grpid
* with nogil: # <<<<<<<<<<<<<<
@@ -3767,7 +3781,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
}
}
- /* "netCDF4/_netCDF4.pyx":1069
+ /* "netCDF4/_netCDF4.pyx":1070
* with nogil:
* ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
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@@ -3777,7 +3791,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
__pyx_t_4 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_4) {
- /* "netCDF4/_netCDF4.pyx":1070
+ /* "netCDF4/_netCDF4.pyx":1071
* ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
* if ierr != NC_NOERR:
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1071; __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 = 1070; __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 = 1071; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_AttributeError, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1071; __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 = 1070; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1071; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1069
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* with nogil:
* ierr = nc_inq_att(_grpid, varid, attname, &att_type, &att_len)
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*/
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- /* "netCDF4/_netCDF4.pyx":1072
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switch (__pyx_v_att_type) {
case NC_CHAR:
- /* "netCDF4/_netCDF4.pyx":1073
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_numpy); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1074; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L11;
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*/
case NC_STRING:
- /* "netCDF4/_netCDF4.pyx":1087
+ /* "netCDF4/_netCDF4.pyx":1088
* return pstring
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__pyx_t_4 = ((__pyx_v_att_len == 1) != 0);
if (__pyx_t_4) {
- /* "netCDF4/_netCDF4.pyx":1088
+ /* "netCDF4/_netCDF4.pyx":1089
* elif att_type == NC_STRING:
* if att_len == 1:
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@@ -4124,7 +4138,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1089
+ /* "netCDF4/_netCDF4.pyx":1090
* if att_len == 1:
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}
- /* "netCDF4/_netCDF4.pyx":1088
+ /* "netCDF4/_netCDF4.pyx":1089
* elif att_type == NC_STRING:
* if att_len == 1:
* with nogil: # <<<<<<<<<<<<<<
@@ -4152,21 +4166,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_att(PyObject *__pyx_v_grp, int
}
}
- /* "netCDF4/_netCDF4.pyx":1090
+ /* "netCDF4/_netCDF4.pyx":1091
* with nogil:
* ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
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+ __pyx_t_9 = __Pyx_PyBytes_FromString(__pyx_v_stratt); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_9);
- __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 = 1090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 1091; __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 = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_9);
- __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
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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 = 1090; __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 = 1091; __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;
@@ -4191,20 +4205,20 @@ 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;
- __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_7, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_7, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__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 = 1091; __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_t_6 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__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":1092
* ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
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__pyx_r = __pyx_v_pstring;
goto __pyx_L0;
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*/
}
- /* "netCDF4/_netCDF4.pyx":1093
+ /* "netCDF4/_netCDF4.pyx":1094
* return pstring
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1094; __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 = 1093; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
- /* "netCDF4/_netCDF4.pyx":1086
+ /* "netCDF4/_netCDF4.pyx":1087
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break;
default:
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+ /* "netCDF4/_netCDF4.pyx":1097
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__pyx_t_4 = ((__pyx_v_att_type == NC_LONG) != 0);
if (__pyx_t_4) {
- /* "netCDF4/_netCDF4.pyx":1097
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*/
__pyx_v_att_type = NC_INT;
- /* "netCDF4/_netCDF4.pyx":1096
+ /* "netCDF4/_netCDF4.pyx":1097
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*/
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- /* "netCDF4/_netCDF4.pyx":1098
+ /* "netCDF4/_netCDF4.pyx":1099
* if att_type == NC_LONG:
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__Pyx_XGOTREF(__pyx_t_14);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1099
+ /* "netCDF4/_netCDF4.pyx":1100
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__Pyx_AddTraceback("netCDF4._netCDF4._get_att", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_GOTREF(__pyx_t_9);
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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_6); __pyx_t_6 = 0;
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/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":1110
* # check if it's an enum
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__Pyx_XDECREF_SET(__pyx_v_type_att, __pyx_t_5);
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__Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_GOTREF(__pyx_t_23);
__Pyx_GOTREF(__pyx_t_26);
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+ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2);
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+ __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1137; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L3:;
- /* "netCDF4/_netCDF4.pyx":1126
+ /* "netCDF4/_netCDF4.pyx":1127
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*
* def _set_default_format(object format='NETCDF4'): # <<<<<<<<<<<<<<
@@ -5154,7 +5168,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_4_set_default_format(CYTHON_UNUSED
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1139
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*
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_get_format", 0);
- /* "netCDF4/_netCDF4.pyx":1142
+ /* "netCDF4/_netCDF4.pyx":1143
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1143
+ /* "netCDF4/_netCDF4.pyx":1144
* cdef int ierr, formatp
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__pyx_v_ierr = nc_inq_format(__pyx_v_grpid, (&__pyx_v_formatp));
}
- /* "netCDF4/_netCDF4.pyx":1142
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}
}
- /* "netCDF4/_netCDF4.pyx":1144
+ /* "netCDF4/_netCDF4.pyx":1145
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+ /* "netCDF4/_netCDF4.pyx":1146
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+ /* "netCDF4/_netCDF4.pyx":1145
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*/
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+ /* "netCDF4/_netCDF4.pyx":1147
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switch (__pyx_v_formatp) {
case NC_FORMAT_NETCDF4:
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goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":1147
* if ierr != NC_NOERR:
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*/
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*/
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+ /* "netCDF4/_netCDF4.pyx":1150
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goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":1149
* if formatp == NC_FORMAT_NETCDF4:
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*/
break;
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+ /* "netCDF4/_netCDF4.pyx":1151
* elif formatp == NC_FORMAT_NETCDF4_CLASSIC:
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*/
case NC_FORMAT_64BIT:
- /* "netCDF4/_netCDF4.pyx":1151
+ /* "netCDF4/_netCDF4.pyx":1152
* return 'NETCDF4_CLASSIC'
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__pyx_r = __pyx_n_s_NETCDF3_64BIT;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":1151
* elif formatp == NC_FORMAT_NETCDF4_CLASSIC:
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*/
break;
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+ /* "netCDF4/_netCDF4.pyx":1153
* elif formatp == NC_FORMAT_64BIT:
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*/
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- /* "netCDF4/_netCDF4.pyx":1153
+ /* "netCDF4/_netCDF4.pyx":1154
* return 'NETCDF3_64BIT'
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__pyx_r = __pyx_n_s_NETCDF3_CLASSIC;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":1152
+ /* "netCDF4/_netCDF4.pyx":1153
* elif formatp == NC_FORMAT_64BIT:
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default: break;
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+ /* "netCDF4/_netCDF4.pyx":1140
* raise ValueError("format must be 'NETCDF4', 'NETCDF4_CLASSIC', 'NETCDF3_64BIT', or 'NETCDF3_CLASSIC', got '%s'" % format)
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return __pyx_r;
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}
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goto __pyx_L9;
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1253
+ /* "netCDF4/_netCDF4.pyx":1254
* xtype = typeids[n]
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}
- /* "netCDF4/_netCDF4.pyx":1252
+ /* "netCDF4/_netCDF4.pyx":1253
* for n from 0 <= n < ntypes:
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}
}
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+ /* "netCDF4/_netCDF4.pyx":1256
* ierr = nc_inq_user_type(_grpid, xtype, namstring,
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1256
+ /* "netCDF4/_netCDF4.pyx":1257
* NULL,NULL,NULL,&classp)
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@@ -6561,22 +6575,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
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__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1257; __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 = 1257; __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 = 1257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1255
+ /* "netCDF4/_netCDF4.pyx":1256
* ierr = nc_inq_user_type(_grpid, xtype, namstring,
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*/
}
- /* "netCDF4/_netCDF4.pyx":1257
+ /* "netCDF4/_netCDF4.pyx":1258
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if classp == NC_COMPOUND: # a compound # <<<<<<<<<<<<<<
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switch (__pyx_v_classp) {
case NC_COMPOUND:
- /* "netCDF4/_netCDF4.pyx":1258
+ /* "netCDF4/_netCDF4.pyx":1259
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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* name = namstring.decode(default_encoding,unicode_error) # <<<<<<<<<<<<<<
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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 = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
- __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 = 1258; __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 = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_default_encoding); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
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+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_9 = 0;
@@ -6623,7 +6637,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
__pyx_t_9 = 1;
}
}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1258; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1259; __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;
@@ -6634,14 +6648,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
- __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 = 1258; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1262
* # read the compound type info from the file,
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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1262
+ /* "netCDF4/_netCDF4.pyx":1263
* # create a CompoundType instance from it.
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* msg='WARNING: unsupported Compound type, skipping...'
*/
- __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_xtype, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1262; __pyx_clineno = __LINE__; goto __pyx_L16_error;}
+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_xtype, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1263; __pyx_clineno = __LINE__; goto __pyx_L16_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_XDECREF_SET(__pyx_v_cmptype, __pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1261
+ /* "netCDF4/_netCDF4.pyx":1262
* # read the compound type info from the file,
* # create a CompoundType instance from it.
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@@ -6687,7 +6701,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1263
+ /* "netCDF4/_netCDF4.pyx":1264
* try:
* cmptype = _read_compound(group, xtype)
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__pyx_t_14 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
if (__pyx_t_14) {
__Pyx_AddTraceback("netCDF4._netCDF4._get_types", __pyx_clineno, __pyx_lineno, __pyx_filename);
- if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_6, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1263; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
+ if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_6, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1264; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_10);
- /* "netCDF4/_netCDF4.pyx":1264
+ /* "netCDF4/_netCDF4.pyx":1265
* cmptype = _read_compound(group, xtype)
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* msg='WARNING: unsupported Compound type, skipping...' # <<<<<<<<<<<<<<
@@ -6712,16 +6726,16 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_kp_s_WARNING_unsupported_Compound_typ);
- /* "netCDF4/_netCDF4.pyx":1265
+ /* "netCDF4/_netCDF4.pyx":1266
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+ __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_warnings); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
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+ __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_warn); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
__Pyx_GOTREF(__pyx_t_8);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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@@ -6735,23 +6749,23 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_types(PyObject *__pyx_v_group)
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}
if (!__pyx_t_5) {
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+ __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_msg); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
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+ __pyx_t_15 = PyTuple_New(1+1); if (unlikely(!__pyx_t_15)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
__Pyx_GOTREF(__pyx_t_15);
__Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_5); __pyx_t_5 = NULL;
__Pyx_INCREF(__pyx_v_msg);
__Pyx_GIVEREF(__pyx_v_msg);
PyTuple_SET_ITEM(__pyx_t_15, 0+1, __pyx_v_msg);
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+ __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_15, NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L18_except_error;}
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__Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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goto __pyx_L18_except_error;
__pyx_L18_except_error:;
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+ /* "netCDF4/_netCDF4.pyx":1262
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__pyx_L23_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":1267
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+ if (unlikely(PyObject_SetItem(__pyx_v_cmptypes, __pyx_v_name, __pyx_v_cmptype) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1268; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1257
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* if ierr != NC_NOERR:
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*/
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+ /* "netCDF4/_netCDF4.pyx":1269
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*/
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+ /* "netCDF4/_netCDF4.pyx":1270
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+ __pyx_t_6 = __Pyx_PyObject_FromString(__pyx_v_namstring); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1270; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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PyTuple_SET_ITEM(__pyx_t_15, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_6 = 0;
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+ __pyx_t_10 = __pyx_f_7netCDF4_8_netCDF4__read_vlen(__pyx_v_group, __pyx_v_xtype, NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1274; __pyx_clineno = __LINE__; goto __pyx_L26_error;}
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__Pyx_XDECREF_SET(__pyx_v_vltype, __pyx_t_10);
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+ /* "netCDF4/_netCDF4.pyx":1273
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__Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_t_15);
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__Pyx_XDECREF_SET(__pyx_v_msg, __pyx_kp_s_WARNING_unsupported_VLEN_type_sk);
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__pyx_L28_except_error:;
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__pyx_L33_try_end:;
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*/
case NC_ENUM:
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+ /* "netCDF4/_netCDF4.pyx":1281
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/*try:*/ {
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__pyx_t_15 = 0;
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__Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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goto __pyx_L38_except_error;
__pyx_L38_except_error:;
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__pyx_L43_try_end:;
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- /* "netCDF4/_netCDF4.pyx":1289
+ /* "netCDF4/_netCDF4.pyx":1290
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__pyx_L8_continue:;
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+ /* "netCDF4/_netCDF4.pyx":1250
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*/
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+ /* "netCDF4/_netCDF4.pyx":1291
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__Pyx_GIVEREF(__pyx_v_cmptypes);
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+/* "netCDF4/_netCDF4.pyx":1293
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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 = 1308; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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- /* "netCDF4/_netCDF4.pyx":1307
+ /* "netCDF4/_netCDF4.pyx":1308
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goto __pyx_L8;
}
- /* "netCDF4/_netCDF4.pyx":1313
+ /* "netCDF4/_netCDF4.pyx":1314
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}
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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#endif
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- /* "netCDF4/_netCDF4.pyx":1317
+ /* "netCDF4/_netCDF4.pyx":1318
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}
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+ /* "netCDF4/_netCDF4.pyx":1319
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if (__pyx_t_3) {
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- /* "netCDF4/_netCDF4.pyx":1320
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@@ -7743,7 +7757,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
__pyx_t_9 = 1;
}
}
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+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1321; __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;
@@ -7754,21 +7768,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_dims(PyObject *__pyx_v_group) {
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1321; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1322
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_INCREF(__pyx_v_name);
__Pyx_GIVEREF(__pyx_v_name);
PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_name);
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":1333
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@@ -7898,7 +7912,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1333
+ /* "netCDF4/_netCDF4.pyx":1334
* _grpid = group._grpid
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}
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+ /* "netCDF4/_netCDF4.pyx":1333
* # get number of groups in this Group.
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}
}
- /* "netCDF4/_netCDF4.pyx":1334
+ /* "netCDF4/_netCDF4.pyx":1335
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1336
* ierr = nc_inq_grps(_grpid, &numgrps, NULL)
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1335; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1334
+ /* "netCDF4/_netCDF4.pyx":1335
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*/
}
- /* "netCDF4/_netCDF4.pyx":1337
+ /* "netCDF4/_netCDF4.pyx":1338
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__pyx_v_groups = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1339
* # create dictionary containing `netCDF4.Group` instances for groups in this group
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__pyx_t_3 = ((__pyx_v_numgrps > 0) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1339
+ /* "netCDF4/_netCDF4.pyx":1340
* groups = OrderedDict()
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps) # <<<<<<<<<<<<<<
@@ -8017,7 +8031,7 @@ 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":1340
+ /* "netCDF4/_netCDF4.pyx":1341
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
@@ -8031,7 +8045,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_grps(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1341
+ /* "netCDF4/_netCDF4.pyx":1342
* grpids = <int *>malloc(sizeof(int) * numgrps)
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}
- /* "netCDF4/_netCDF4.pyx":1340
+ /* "netCDF4/_netCDF4.pyx":1341
* if numgrps > 0:
* grpids = <int *>malloc(sizeof(int) * numgrps)
* with nogil: # <<<<<<<<<<<<<<
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}
}
- /* "netCDF4/_netCDF4.pyx":1342
+ /* "netCDF4/_netCDF4.pyx":1343
* with nogil:
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1344
* ierr = nc_inq_grps(_grpid, NULL, grpids)
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- /* "netCDF4/_netCDF4.pyx":1344
+ /* "netCDF4/_netCDF4.pyx":1345
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":1345
+ /* "netCDF4/_netCDF4.pyx":1346
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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- /* "netCDF4/_netCDF4.pyx":1346
+ /* "netCDF4/_netCDF4.pyx":1347
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}
- /* "netCDF4/_netCDF4.pyx":1345
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- /* "netCDF4/_netCDF4.pyx":1347
+ /* "netCDF4/_netCDF4.pyx":1348
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1348
+ /* "netCDF4/_netCDF4.pyx":1349
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PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
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__Pyx_GIVEREF(__pyx_v_group);
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*/
free(__pyx_v_grpids);
- /* "netCDF4/_netCDF4.pyx":1338
+ /* "netCDF4/_netCDF4.pyx":1339
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+ /* "netCDF4/_netCDF4.pyx":1353
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goto __pyx_L0;
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return __pyx_r;
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if (__pyx_t_3) {
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- /* "netCDF4/_netCDF4.pyx":1375
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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 = 1376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1380
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__Pyx_GIVEREF(__pyx_t_1);
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1379; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1378
+ /* "netCDF4/_netCDF4.pyx":1379
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":1376
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goto __pyx_L8;
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- /* "netCDF4/_netCDF4.pyx":1381
+ /* "netCDF4/_netCDF4.pyx":1382
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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+ /* "netCDF4/_netCDF4.pyx":1383
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}
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+ /* "netCDF4/_netCDF4.pyx":1385
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_2; __pyx_v_n++) {
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+ /* "netCDF4/_netCDF4.pyx":1386
* # loop over variables.
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*/
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- /* "netCDF4/_netCDF4.pyx":1387
+ /* "netCDF4/_netCDF4.pyx":1388
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1388
+ /* "netCDF4/_netCDF4.pyx":1389
* # get variable name.
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}
- /* "netCDF4/_netCDF4.pyx":1387
+ /* "netCDF4/_netCDF4.pyx":1388
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}
}
- /* "netCDF4/_netCDF4.pyx":1389
+ /* "netCDF4/_netCDF4.pyx":1390
* with nogil:
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":1391
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@@ -8749,22 +8763,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
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*/
__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1390; __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 = 1391; __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 = 1390; __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 = 1391; __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_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 = 1390; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1389
+ /* "netCDF4/_netCDF4.pyx":1390
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- /* "netCDF4/_netCDF4.pyx":1391
+ /* "netCDF4/_netCDF4.pyx":1392
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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 = 1392; __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 = 1392; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_9 = 0;
@@ -8801,7 +8815,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(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 = 1392; __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;
@@ -8812,14 +8826,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1392; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF_SET(__pyx_v_name, __pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":1392
+ /* "netCDF4/_netCDF4.pyx":1393
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -8829,7 +8843,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1393
+ /* "netCDF4/_netCDF4.pyx":1394
* name = namstring.decode(default_encoding,unicode_error)
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__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1394; __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 = 1394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__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);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1393; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1392
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- /* "netCDF4/_netCDF4.pyx":1395
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1396
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}
- /* "netCDF4/_netCDF4.pyx":1395
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}
}
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1398
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__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1398; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1397
+ /* "netCDF4/_netCDF4.pyx":1398
* with nogil:
* ierr = nc_inq_vartype(_grpid, varid, &xtype)
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@@ -8945,7 +8959,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1400
+ /* "netCDF4/_netCDF4.pyx":1401
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_INCREF(Py_None);
__Pyx_XDECREF_SET(__pyx_v_endianness, Py_None);
- /* "netCDF4/_netCDF4.pyx":1403
+ /* "netCDF4/_netCDF4.pyx":1404
* # assume data returned by HDF4 lib has already been byte-swapped
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*/
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_disk_format); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1404; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_3 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_n_s_HDF4, Py_NE)); if (unlikely(__pyx_t_3 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1404; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1404
+ /* "netCDF4/_netCDF4.pyx":1405
* # (if needed) so that it is in native endian format (issue #391).
* if group.disk_format != 'HDF4':
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@@ -8982,7 +8996,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1405
+ /* "netCDF4/_netCDF4.pyx":1406
* if group.disk_format != 'HDF4':
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* ierr = nc_inq_var_endian(_grpid, varid, &iendian) # <<<<<<<<<<<<<<
@@ -8992,7 +9006,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
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}
- /* "netCDF4/_netCDF4.pyx":1404
+ /* "netCDF4/_netCDF4.pyx":1405
* # (if needed) so that it is in native endian format (issue #391).
* if group.disk_format != 'HDF4':
* with nogil: # <<<<<<<<<<<<<<
@@ -9010,7 +9024,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
- /* "netCDF4/_netCDF4.pyx":1406
+ /* "netCDF4/_netCDF4.pyx":1407
* with nogil:
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
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@@ -9020,7 +9034,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_3 = ((__pyx_v_ierr == NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":1407
+ /* "netCDF4/_netCDF4.pyx":1408
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -9030,7 +9044,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
switch (__pyx_v_iendian) {
case NC_ENDIAN_LITTLE:
- /* "netCDF4/_netCDF4.pyx":1408
+ /* "netCDF4/_netCDF4.pyx":1409
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<' # <<<<<<<<<<<<<<
@@ -9040,7 +9054,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(__pyx_kp_s__12);
__Pyx_DECREF_SET(__pyx_v_endianness, __pyx_kp_s__12);
- /* "netCDF4/_netCDF4.pyx":1407
+ /* "netCDF4/_netCDF4.pyx":1408
* ierr = nc_inq_var_endian(_grpid, varid, &iendian)
* if ierr == NC_NOERR:
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -9049,7 +9063,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
break;
- /* "netCDF4/_netCDF4.pyx":1409
+ /* "netCDF4/_netCDF4.pyx":1410
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -9058,7 +9072,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
case NC_ENDIAN_BIG:
- /* "netCDF4/_netCDF4.pyx":1410
+ /* "netCDF4/_netCDF4.pyx":1411
* endianness = '<'
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* endianness = '>' # <<<<<<<<<<<<<<
@@ -9068,7 +9082,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_INCREF(__pyx_kp_s__13);
__Pyx_DECREF_SET(__pyx_v_endianness, __pyx_kp_s__13);
- /* "netCDF4/_netCDF4.pyx":1409
+ /* "netCDF4/_netCDF4.pyx":1410
* if iendian == NC_ENDIAN_LITTLE:
* endianness = '<'
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@@ -9079,7 +9093,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
default: break;
}
- /* "netCDF4/_netCDF4.pyx":1406
+ /* "netCDF4/_netCDF4.pyx":1407
* with nogil:
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@@ -9088,7 +9102,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1403
+ /* "netCDF4/_netCDF4.pyx":1404
* # assume data returned by HDF4 lib has already been byte-swapped
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@@ -9097,7 +9111,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1412
+ /* "netCDF4/_netCDF4.pyx":1413
* endianness = '>'
* # check to see if it is a supported user-defined type.
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@@ -9111,22 +9125,22 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1413
+ /* "netCDF4/_netCDF4.pyx":1414
* # check to see if it is a supported user-defined type.
* try:
* datatype = _nctonptype[xtype] # <<<<<<<<<<<<<<
* if endianness is not None:
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*/
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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 = 1414; __pyx_clineno = __LINE__; goto __pyx_L37_error;}
__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1415
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@@ -9137,19 +9151,19 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_14 = (__pyx_t_3 != 0);
if (__pyx_t_14) {
- /* "netCDF4/_netCDF4.pyx":1415
+ /* "netCDF4/_netCDF4.pyx":1416
* datatype = _nctonptype[xtype]
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*/
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+ __pyx_t_6 = PyNumber_Add(__pyx_v_endianness, __pyx_v_datatype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1416; __pyx_clineno = __LINE__; goto __pyx_L37_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1414
+ /* "netCDF4/_netCDF4.pyx":1415
* try:
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@@ -9158,7 +9172,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
*/
}
- /* "netCDF4/_netCDF4.pyx":1412
+ /* "netCDF4/_netCDF4.pyx":1413
* endianness = '>'
* # check to see if it is a supported user-defined type.
* try: # <<<<<<<<<<<<<<
@@ -9178,7 +9192,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1416
+ /* "netCDF4/_netCDF4.pyx":1417
* if endianness is not None:
* datatype = endianness + datatype
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@@ -9188,12 +9202,12 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__pyx_t_15 = PyErr_ExceptionMatches(__pyx_builtin_KeyError);
if (__pyx_t_15) {
__Pyx_AddTraceback("netCDF4._netCDF4._get_vars", __pyx_clineno, __pyx_lineno, __pyx_filename);
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+ if (__Pyx_GetException(&__pyx_t_6, &__pyx_t_1, &__pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1417; __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":1417
+ /* "netCDF4/_netCDF4.pyx":1418
* datatype = endianness + datatype
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@@ -9203,7 +9217,7 @@ 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":1418
+ /* "netCDF4/_netCDF4.pyx":1419
* except KeyError:
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__Pyx_INCREF(((PyObject *)(&PyString_Type)));
__Pyx_XDECREF_SET(__pyx_v_datatype, ((PyObject *)(&PyString_Type)));
- /* "netCDF4/_netCDF4.pyx":1417
+ /* "netCDF4/_netCDF4.pyx":1418
* datatype = endianness + datatype
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@@ -9223,7 +9237,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
goto __pyx_L48;
}
- /* "netCDF4/_netCDF4.pyx":1420
+ /* "netCDF4/_netCDF4.pyx":1421
* datatype = str
* else:
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@@ -9238,7 +9252,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1421
+ /* "netCDF4/_netCDF4.pyx":1422
* else:
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__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":1420
+ /* "netCDF4/_netCDF4.pyx":1421
* datatype = str
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@@ -9266,7 +9280,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
}
}
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+ /* "netCDF4/_netCDF4.pyx":1424
* ierr = nc_inq_user_type(_grpid, xtype, namstring_cmp,
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switch (__pyx_v_classp) {
case NC_COMPOUND:
- /* "netCDF4/_netCDF4.pyx":1425
+ /* "netCDF4/_netCDF4.pyx":1426
* if classp == NC_COMPOUND: # a compound type
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@@ -9290,7 +9304,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
__Pyx_XGOTREF(__pyx_t_18);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":1426
+ /* "netCDF4/_netCDF4.pyx":1427
* # create CompoundType instance describing this compound type.
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*/
__pyx_t_19.__pyx_n = 1;
__pyx_t_19.endian = __pyx_v_endianness;
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+ __pyx_t_7 = __pyx_f_7netCDF4_8_netCDF4__read_compound(__pyx_v_group, __pyx_v_xtype, &__pyx_t_19); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1427; __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":1425
+ /* "netCDF4/_netCDF4.pyx":1426
* if classp == NC_COMPOUND: # a compound type
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@@ -9321,7 +9335,7 @@ 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":1427
+ /* "netCDF4/_netCDF4.pyx":1428
* try:
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@@ -9331,33 +9345,33 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__get_vars(PyObject *__pyx_v_group) {
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goto __pyx_L56_except_error;
__pyx_L56_except_error:;
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* if classp == NC_COMPOUND: # a compound type
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__pyx_L61_try_end:;
}
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*/
break;
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*/
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__Pyx_XGOTREF(__pyx_t_16);
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__pyx_L71_try_end:;
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break;
- /* "netCDF4/_netCDF4.pyx":1439
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*/
case NC_ENUM:
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/*try:*/ {
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goto __pyx_L76_except_error;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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if (__pyx_t_14) {
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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__Pyx_GIVEREF(__pyx_v_dimensions);
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goto __pyx_L0;
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__pyx_L3_error:;
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goto __pyx_L18;
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- /* "netCDF4/_netCDF4.pyx":1737
+ /* "netCDF4/_netCDF4.pyx":1738
* else:
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@@ -11446,7 +11460,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
goto __pyx_L23;
}
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+ /* "netCDF4/_netCDF4.pyx":1741
* ierr = nc_create(path, NC_WRITE | NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
* else:
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+ __pyx_t_7 = __Pyx_PyInt_As_int(__pyx_t_6); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1741; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
__pyx_L23:;
- /* "netCDF4/_netCDF4.pyx":1736
+ /* "netCDF4/_netCDF4.pyx":1737
* ierr = nc_create(path, NC_SHARE | NC_CLOBBER, &grpid)
* else:
* if diskless: # <<<<<<<<<<<<<<
@@ -11478,7 +11492,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
goto __pyx_L22;
}
- /* "netCDF4/_netCDF4.pyx":1742
+ /* "netCDF4/_netCDF4.pyx":1743
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER | NC_DISKLESS , &grpid)
* else:
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER, &grpid) # <<<<<<<<<<<<<<
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}
__pyx_L19:;
- /* "netCDF4/_netCDF4.pyx":1726
+ /* "netCDF4/_netCDF4.pyx":1727
* else:
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* elif mode == 'ws': # <<<<<<<<<<<<<<
@@ -11502,7 +11516,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
goto __pyx_L6;
}
- /* "netCDF4/_netCDF4.pyx":1744
+ /* "netCDF4/_netCDF4.pyx":1745
* ierr = nc_create(path, NC_SHARE | NC_NOCLOBBER, &grpid)
* else:
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@@ -11510,23 +11524,23 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
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__Pyx_GOTREF(__pyx_t_4);
__Pyx_GIVEREF(__pyx_t_6);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6);
__pyx_t_6 = 0;
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1745; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_6, 0, 0, 0);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1744; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
__pyx_L6:;
- /* "netCDF4/_netCDF4.pyx":1745
+ /* "netCDF4/_netCDF4.pyx":1746
* else:
* raise ValueError("mode must be 'w', 'r', 'a' or 'r+', got '%s'" % mode)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -11536,7 +11550,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
__pyx_t_1 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":1746
+ /* "netCDF4/_netCDF4.pyx":1747
* raise ValueError("mode must be 'w', 'r', 'a' or 'r+', got '%s'" % mode)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
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*/
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__Pyx_INCREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6);
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1747; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1746; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":1745
+ /* "netCDF4/_netCDF4.pyx":1746
* else:
* raise ValueError("mode must be 'w', 'r', 'a' or 'r+', got '%s'" % mode)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -11568,14 +11582,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_7Dataset___init__(struct __pyx_obj_7netCD
*/
}
- /* "netCDF4/_netCDF4.pyx":1748
+ /* "netCDF4/_netCDF4.pyx":1749
* 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
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*/
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+ __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_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->data_model);
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__pyx_v_self->data_model = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1751
+ /* "netCDF4/_netCDF4.pyx":1752
* # data_model attribute used to be file_format (versions < 1.0.8), retain
* # file_format for backwards compatibility.
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@@ -11598,14 +11612,14 @@ 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":1752
+ /* "netCDF4/_netCDF4.pyx":1753
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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 = 1753; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->disk_format);
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__pyx_v_self->disk_format = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":1757
+ /* "netCDF4/_netCDF4.pyx":1758
* #if diskless and self.data_model != 'NETCDF3_CLASSIC' and ncopen:
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*/
__pyx_v_self->_grpid = __pyx_v_grpid;
- /* "netCDF4/_netCDF4.pyx":1758
+ /* "netCDF4/_netCDF4.pyx":1759
* # raise ValueError("diskless access only supported for NETCDF3_CLASSIC format")
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*/
__pyx_v_self->_isopen = 1;
- /* "netCDF4/_netCDF4.pyx":1759
+ /* "netCDF4/_netCDF4.pyx":1760
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* self._isopen = 1
* self.path = '/' # <<<<<<<<<<<<<<
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__Pyx_DECREF(__pyx_v_self->path);
__pyx_v_self->path = __pyx_kp_s__14;
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* self._isopen = 1
* self.path = '/'
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__Pyx_DECREF(__pyx_v_self->parent);
__pyx_v_self->parent = Py_None;
- /* "netCDF4/_netCDF4.pyx":1761
+ /* "netCDF4/_netCDF4.pyx":1762
* self.path = '/'
* self.parent = None
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__pyx_v_self->keepweakref = __pyx_v_keepweakref;
- /* "netCDF4/_netCDF4.pyx":1763
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+ __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;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1763; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1763; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_4);
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__pyx_v_self->enumtypes = __pyx_t_8;
__pyx_t_8 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1766
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__Pyx_GIVEREF(__pyx_t_6);
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__pyx_v_self->dimensions = __pyx_t_6;
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__Pyx_GIVEREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_v_self->variables);
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__pyx_v_self->variables = __pyx_t_6;
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goto __pyx_L27;
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return __pyx_r;
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goto __pyx_L0;
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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 = 1942; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1957; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1958; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":1957
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*/
}
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*/
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+ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self->dimensions, __pyx_n_s_pop); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
}
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+ __pyx_t_10 = PyTuple_New(1+1); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1); __pyx_t_1 = NULL;
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__Pyx_GIVEREF(__pyx_v_oldname);
PyTuple_SET_ITEM(__pyx_t_10, 0+1, __pyx_v_oldname);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":1962
* self.dimensions.pop(oldname)
* # add new key.
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* # Variable.dimensions is determined by a method that
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*/
- if (unlikely(PyObject_SetItem(__pyx_v_self->dimensions, __pyx_v_newname, __pyx_v_dim) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1961; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyObject_SetItem(__pyx_v_self->dimensions, __pyx_v_newname, __pyx_v_dim) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":1941
+ /* "netCDF4/_netCDF4.pyx":1942
* return self.dimensions[dimname]
*
* def renameDimension(self, oldname, newname): # <<<<<<<<<<<<<<
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":1965
+/* "netCDF4/_netCDF4.pyx":1966
* # looks in the file, so no need to manually update.
*
* def createCompoundType(self, datatype, datatype_name): # <<<<<<<<<<<<<<
@@ -14898,7 +14912,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_32renameDimension(struct _
/* Python wrapper */
static PyObject *__pyx_pw_7netCDF4_8_netCDF4_7Dataset_35createCompoundType(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
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+static char __pyx_doc_7netCDF4_8_netCDF4_7Dataset_34createCompoundType[] = "\n**`createCompoundType(self, datatype, datatype_name)`**\n\nCreates a new compound data type named `datatype_name` from the numpy\ndtype object `datatype`.\n\n***Note***: If the new compound data type contains other compound data types\n(i.e. it is a 'nested' compound type, where not all of the elements\nare homogeneous numeric data types), then the 'inner' compound types **must** be\ncreated first.\n\nThe retur [...]
static PyObject *__pyx_pw_7netCDF4_8_netCDF4_7Dataset_35createCompoundType(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyObject *__pyx_v_datatype = 0;
PyObject *__pyx_v_datatype_name = 0;
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case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_datatype_name)) != 0)) kw_args--;
else {
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+ __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1966; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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if (unlikely(kw_args > 0)) {
- if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createCompoundType") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1965; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createCompoundType") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1966; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
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goto __pyx_L5_argtuple_error;
@@ -14945,7 +14959,7 @@ static PyObject *__pyx_pw_7netCDF4_8_netCDF4_7Dataset_35createCompoundType(PyObj
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
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+ __Pyx_RaiseArgtupleInvalid("createCompoundType", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1966; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_RefNannySetupContext("createCompoundType", 0);
- /* "netCDF4/_netCDF4.pyx":1979
+ /* "netCDF4/_netCDF4.pyx":1980
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*/
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+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1980; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
@@ -14986,13 +15000,13 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_34createCompoundType(struc
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__Pyx_GIVEREF(__pyx_v_datatype_name);
PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype_name);
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+ __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_7netCDF4_8_netCDF4_CompoundType), __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1980; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (unlikely(PyObject_SetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name, __pyx_t_2) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1980; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netCDF4/_netCDF4.pyx":1981
+ /* "netCDF4/_netCDF4.pyx":1982
* self.cmptypes[datatype_name] = CompoundType(self, datatype,\
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__Pyx_XDECREF(__pyx_r);
- __pyx_t_2 = PyObject_GetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1981; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
+ __pyx_t_2 = PyObject_GetItem(__pyx_v_self->cmptypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1982; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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__pyx_r = __pyx_t_2;
__pyx_t_2 = 0;
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- /* "netCDF4/_netCDF4.pyx":1965
+ /* "netCDF4/_netCDF4.pyx":1966
* # looks in the file, so no need to manually update.
*
* def createCompoundType(self, datatype, datatype_name): # <<<<<<<<<<<<<<
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return __pyx_r;
}
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*
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else {
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+ __Pyx_RaiseArgtupleInvalid("createVLType", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1984; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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}
} else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
goto __pyx_L5_argtuple_error;
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}
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__pyx_L5_argtuple_error:;
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+ __Pyx_RaiseArgtupleInvalid("createVLType", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1984; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_RefNannyFinishContext();
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__Pyx_RefNannySetupContext("createVLType", 0);
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- __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1992; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1993; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
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__Pyx_GIVEREF(__pyx_v_datatype_name);
PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype_name);
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__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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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 = 1993; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_XDECREF(__pyx_r);
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+ __pyx_t_2 = PyObject_GetItem(__pyx_v_self->vltypes, __pyx_v_datatype_name); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1994; __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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else {
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+ __Pyx_RaiseArgtupleInvalid("createEnumType", 1, 3, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1996; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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+ __Pyx_RaiseArgtupleInvalid("createEnumType", 1, 3, 3, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1996; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_5 = NULL;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2137; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -15678,18 +15692,18 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
__Pyx_DECREF_SET(__pyx_v_varname, __pyx_t_2);
__pyx_t_2 = 0;
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+ /* "netCDF4/_netCDF4.pyx":2140
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__pyx_t_7 = ((!__pyx_t_6) != 0);
if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2140
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* # create parent groups (like mkdir -p).
* if not dirname:
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__Pyx_INCREF(((PyObject *)__pyx_v_self));
__pyx_v_group = ((PyObject *)__pyx_v_self);
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goto __pyx_L5;
}
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+ /* "netCDF4/_netCDF4.pyx":2143
* group = self
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- __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_createGroup); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2142; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_createGroup); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_2))) {
@@ -15730,16 +15744,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
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}
if (!__pyx_t_4) {
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_dirname); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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} else {
- __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2142; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_4); __pyx_t_4 = NULL;
__Pyx_INCREF(__pyx_v_dirname);
__Pyx_GIVEREF(__pyx_v_dirname);
PyTuple_SET_ITEM(__pyx_t_3, 0+1, __pyx_v_dirname);
- __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2142; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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@@ -15749,14 +15763,14 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
}
__pyx_L5:;
- /* "netCDF4/_netCDF4.pyx":2144
+ /* "netCDF4/_netCDF4.pyx":2145
* group = self.createGroup(dirname)
* # create variable.
* group.variables[varname] = Variable(group, varname, datatype, # <<<<<<<<<<<<<<
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
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*/
- __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2144; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
@@ -15768,69 +15782,69 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
__Pyx_GIVEREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_datatype);
- /* "netCDF4/_netCDF4.pyx":2145
+ /* "netCDF4/_netCDF4.pyx":2146
* # create variable.
* group.variables[varname] = Variable(group, varname, datatype,
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* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
* endian=endian, least_significant_digit=least_significant_digit,
*/
- __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dimensions, __pyx_v_dimensions) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_zlib, __pyx_v_zlib) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_complevel, __pyx_v_complevel) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_shuffle, __pyx_v_shuffle) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_dimensions, __pyx_v_dimensions) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_zlib, __pyx_v_zlib) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_complevel, __pyx_v_complevel) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_shuffle, __pyx_v_shuffle) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2146
+ /* "netCDF4/_netCDF4.pyx":2147
* group.variables[varname] = Variable(group, varname, datatype,
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* endian=endian, least_significant_digit=least_significant_digit,
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*/
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fletcher32, __pyx_v_fletcher32) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_contiguous, __pyx_v_contiguous) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __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 = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_fletcher32, __pyx_v_fletcher32) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_contiguous, __pyx_v_contiguous) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2146; __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 = 2146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2147
+ /* "netCDF4/_netCDF4.pyx":2148
* dimensions=dimensions, zlib=zlib, complevel=complevel, shuffle=shuffle,
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*/
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- if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_least_significant_digit, __pyx_v_least_significant_digit) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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* fletcher32=fletcher32, contiguous=contiguous, chunksizes=chunksizes,
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*/
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- /* "netCDF4/_netCDF4.pyx":2144
+ /* "netCDF4/_netCDF4.pyx":2145
* group = self.createGroup(dirname)
* # create variable.
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+ __pyx_t_3 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_7netCDF4_8_netCDF4_Variable), __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_variables); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
- if (unlikely(PyObject_SetItem(__pyx_t_2, __pyx_v_varname, __pyx_t_3) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2144; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyObject_SetItem(__pyx_t_2, __pyx_v_varname, __pyx_t_3) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2145; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":2149
+ /* "netCDF4/_netCDF4.pyx":2150
* endian=endian, least_significant_digit=least_significant_digit,
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@@ -15838,16 +15852,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
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__Pyx_XDECREF(__pyx_r);
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_group, __pyx_n_s_variables); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2150; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_2 = PyObject_GetItem(__pyx_t_3, __pyx_v_varname); if (unlikely(__pyx_t_2 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2150; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_r = __pyx_t_2;
__pyx_t_2 = 0;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2009
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* return self.enumtypes[datatype_name]
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@@ -15872,7 +15886,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_7Dataset_40createVariable(struct __
return __pyx_r;
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+ __Pyx_RaiseArgtupleInvalid("renameVariable", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2152; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
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__Pyx_GIVEREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_4);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2248; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_attname = __pyx_t_2;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":2280
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return __pyx_r;
}
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else {
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+ __Pyx_RaiseArgtupleInvalid("renameAttribute", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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goto __pyx_L5_argtuple_error;
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goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
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+ __Pyx_RaiseArgtupleInvalid("renameAttribute", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__Pyx_RefNannySetupContext("__init__", 0);
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__pyx_v_self->__pyx_base.data_model = __pyx_t_1;
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__pyx_v_self->__pyx_base.file_format = __pyx_t_1;
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__Pyx_GIVEREF(__pyx_v_name);
PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_5, __pyx_v_name);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_v_self->__pyx_base.path = __pyx_t_1;
__pyx_t_1 = 0;
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__pyx_v_self->__pyx_base.parent = __pyx_v_parent;
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.keepweakref);
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__pyx_v_self->__pyx_base.keepweakref = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":2505
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":2505
+ /* "netCDF4/_netCDF4.pyx":2506
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__pyx_v_self->__pyx_base._grpid = __pyx_t_9;
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__pyx_v_self->__pyx_base.variables = __pyx_t_1;
__pyx_t_1 = 0;
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+ /* "netCDF4/_netCDF4.pyx":2514
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* else:
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*/
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+ __pyx_t_1 = __pyx_f_7netCDF4_8_netCDF4__get_grps(((PyObject *)__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2514; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->__pyx_base.groups);
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__pyx_v_self->__pyx_base.groups = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2504
+ /* "netCDF4/_netCDF4.pyx":2505
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goto __pyx_L3;
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- /* "netCDF4/_netCDF4.pyx":2515
+ /* "netCDF4/_netCDF4.pyx":2516
* self.groups = _get_grps(self)
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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 = 2516; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
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__pyx_v_groupname = __pyx_t_11;
- /* "netCDF4/_netCDF4.pyx":2517
+ /* "netCDF4/_netCDF4.pyx":2518
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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 = 2518; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":2518
+ /* "netCDF4/_netCDF4.pyx":2519
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if (__pyx_t_8) {
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+ /* "netCDF4/_netCDF4.pyx":2520
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- __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_11, 0, strlen(__pyx_t_11), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2519; __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 = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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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 = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2519; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2518
+ /* "netCDF4/_netCDF4.pyx":2519
* groupname = bytestr
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*/
}
- /* "netCDF4/_netCDF4.pyx":2520
+ /* "netCDF4/_netCDF4.pyx":2521
* if ierr != NC_NOERR:
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* self.cmptypes = 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 = 2520; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2521; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -22133,10 +22147,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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}
if (__pyx_t_6) {
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2521; __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 = 2520; __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 = 2521; __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;
@@ -22146,14 +22160,14 @@ 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":2521
+ /* "netCDF4/_netCDF4.pyx":2522
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* self.cmptypes = 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 = 2521; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2522; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_6 = NULL;
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@@ -22166,10 +22180,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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}
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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 = 2522; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2522; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__pyx_v_self->__pyx_base.vltypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2522
+ /* "netCDF4/_netCDF4.pyx":2523
* self.cmptypes = OrderedDict()
* self.vltypes = OrderedDict()
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* self.dimensions = OrderedDict()
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2523; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
@@ -22199,10 +22213,10 @@ static int __pyx_pf_7netCDF4_8_netCDF4_5Group___init__(struct __pyx_obj_7netCDF4
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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 = 2523; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__pyx_v_self->__pyx_base.enumtypes = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2523
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* self.enumtypes = OrderedDict()
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* self.variables = OrderedDict()
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2524; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (CYTHON_COMPILING_IN_CPYTHON && unlikely(PyMethod_Check(__pyx_t_2))) {
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__pyx_v_self->__pyx_base.dimensions = __pyx_t_1;
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+ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OrderedDict); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":2550
* def __get__(self):
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return __pyx_r;
}
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case 1:
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else {
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2576; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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if (kw_args > 0) {
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}
}
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}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -22816,7 +22830,7 @@ static int __pyx_pw_7netCDF4_8_netCDF4_9Dimension_1__init__(PyObject *__pyx_v_se
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goto __pyx_L4_argument_unpacking_done;
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+ __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2576; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__init__", 0);
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_keepweakref); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2598; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_weakref); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_proxy); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+ __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2599; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4); __pyx_t_4 = NULL;
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__Pyx_GIVEREF(__pyx_v_grp);
PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_v_grp);
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__pyx_v_self->_grp = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2597
+ /* "netCDF4/_netCDF4.pyx":2598
* # make a weakref to group to avoid circular ref (issue 218)
* # keep strong reference the default behaviour (issue 251)
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goto __pyx_L3;
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- /* "netCDF4/_netCDF4.pyx":2600
+ /* "netCDF4/_netCDF4.pyx":2601
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}
__pyx_L3:;
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+ /* "netCDF4/_netCDF4.pyx":2602
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_grp, __pyx_n_s_data_model); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2602; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__Pyx_GOTREF(__pyx_v_self->_data_model);
@@ -22962,7 +22976,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
__pyx_v_self->_data_model = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":2602
+ /* "netCDF4/_netCDF4.pyx":2603
* self._grp = grp
* self._data_model = grp.data_model
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@@ -22975,31 +22989,31 @@ static int __pyx_pf_7netCDF4_8_netCDF4_9Dimension___init__(struct __pyx_obj_7net
__Pyx_DECREF(__pyx_v_self->_name);
__pyx_v_self->_name = __pyx_v_name;
- /* "netCDF4/_netCDF4.pyx":2603
+ /* "netCDF4/_netCDF4.pyx":2604
* self._data_model = grp.data_model
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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 = 2604; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_7 = (__pyx_t_3 != 0);
if (__pyx_t_7) {
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goto __pyx_L4;
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+ /* "netCDF4/_netCDF4.pyx":2607
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__pyx_v_bytestr = __pyx_t_1;
__pyx_t_1 = 0;
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__pyx_v_dimname = __pyx_t_8;
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* bytestr = _strencode(name)
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__pyx_t_3 = (__pyx_t_7 != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":2609
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* if size is not None:
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* bytestr = _strencode(name)
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goto __pyx_L5;
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -24229,22 +24243,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
* return False
*/
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2678; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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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 = 2678; __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 = 2677; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2678; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":2676
+ /* "netCDF4/_netCDF4.pyx":2677
* if self._data_model == 'NETCDF4':
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, NULL)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -24253,7 +24267,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
}
- /* "netCDF4/_netCDF4.pyx":2678
+ /* "netCDF4/_netCDF4.pyx":2679
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if numunlimdims == 0: # <<<<<<<<<<<<<<
@@ -24263,7 +24277,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_1 = ((__pyx_v_numunlimdims == 0) != 0);
if (__pyx_t_1) {
- /* "netCDF4/_netCDF4.pyx":2679
+ /* "netCDF4/_netCDF4.pyx":2680
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if numunlimdims == 0:
* return False # <<<<<<<<<<<<<<
@@ -24275,7 +24289,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_r = Py_False;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2678
+ /* "netCDF4/_netCDF4.pyx":2679
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if numunlimdims == 0: # <<<<<<<<<<<<<<
@@ -24284,7 +24298,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
}
- /* "netCDF4/_netCDF4.pyx":2681
+ /* "netCDF4/_netCDF4.pyx":2682
* return False
* else:
* dimid = self._dimid # <<<<<<<<<<<<<<
@@ -24295,7 +24309,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
__pyx_t_5 = __pyx_v_self->_dimid;
__pyx_v_dimid = __pyx_t_5;
- /* "netCDF4/_netCDF4.pyx":2682
+ /* "netCDF4/_netCDF4.pyx":2683
* else:
* dimid = self._dimid
* with nogil: # <<<<<<<<<<<<<<
@@ -24309,7 +24323,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":2683
+ /* "netCDF4/_netCDF4.pyx":2684
* dimid = self._dimid
* with nogil:
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids) # <<<<<<<<<<<<<<
@@ -24319,7 +24333,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
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}
- /* "netCDF4/_netCDF4.pyx":2682
+ /* "netCDF4/_netCDF4.pyx":2683
* else:
* dimid = self._dimid
* with nogil: # <<<<<<<<<<<<<<
@@ -24337,7 +24351,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
}
}
- /* "netCDF4/_netCDF4.pyx":2684
+ /* "netCDF4/_netCDF4.pyx":2685
* with nogil:
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -24347,7 +24361,7 @@ 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":2685
+ /* "netCDF4/_netCDF4.pyx":2686
* ierr = nc_inq_unlimdims(self._grpid, &numunlimdims, unlimdimids)
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@@ -24355,22 +24369,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
- __pyx_t_3 = __Pyx_decode_c_string(__pyx_t_2, 0, strlen(__pyx_t_2), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2685; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_3);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2685; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -24379,19 +24393,19 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_9Dimension_12isunlimited(struct __p
*/
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- /* "netCDF4/_netCDF4.pyx":2686
+ /* "netCDF4/_netCDF4.pyx":2687
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+ __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;}
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__pyx_v_unlimdim_ids = ((PyObject*)__pyx_t_3);
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+ /* "netCDF4/_netCDF4.pyx":2688
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_5; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":2688
+ /* "netCDF4/_netCDF4.pyx":2689
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* for n from 0 <= n < numunlimdims:
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+ /* "netCDF4/_netCDF4.pyx":2690
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__pyx_t_7 = (__pyx_t_1 != 0);
if (__pyx_t_7) {
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+ /* "netCDF4/_netCDF4.pyx":2691
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__pyx_r = Py_True;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":2689
+ /* "netCDF4/_netCDF4.pyx":2690
* for n from 0 <= n < numunlimdims:
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*/
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}
}
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+ /* "netCDF4/_netCDF4.pyx":2675
* cdef int ierr, n, numunlimdims, ndims, nvars, ngatts, xdimid
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*/
}
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#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":2697
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}
- /* "netCDF4/_netCDF4.pyx":2695
+ /* "netCDF4/_netCDF4.pyx":2696
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}
}
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* with nogil:
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if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":2698
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__pyx_r = Py_True;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":2698
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return __pyx_r;
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return __pyx_r;
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values[5] = ((PyObject *)__pyx_int_4);
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values[8] = ((PyObject *)Py_False);
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values[11] = ((PyObject *)Py_None);
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__Pyx_DECREF_SET(__pyx_v_zlib, Py_False);
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__Pyx_INCREF(__pyx_v_dimensions);
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__pyx_t_3 = 0;
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goto __pyx_L8;
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__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":2949
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__pyx_v_self->_iscompound = Py_True;
- /* "netCDF4/_netCDF4.pyx":2950
+ /* "netCDF4/_netCDF4.pyx":2951
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__pyx_v_self->_cmptype = __pyx_v_datatype;
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*/
}
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goto __pyx_L34_bool_binop_done;
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__pyx_v_self->_isvlen = Py_True;
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*/
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__pyx_t_1 = (__pyx_t_8 != 0);
if (__pyx_t_1) {
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* self._vltype = datatype
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__pyx_v_self->_isenum = Py_True;
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__Pyx_DECREF(__pyx_v_self->_enumtype);
__pyx_v_self->_enumtype = __pyx_v_datatype;
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+ /* "netCDF4/_netCDF4.pyx":2955
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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 = 2959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_1 = (__Pyx_PyString_Equals(__pyx_t_3, __pyx_n_s_NETCDF4, Py_NE)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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*/
}
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+ /* "netCDF4/_netCDF4.pyx":2965
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+ __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2965; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_v_self->_grp);
__Pyx_GIVEREF(__pyx_v_self->_grp);
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__Pyx_GIVEREF(Py_None);
PyTuple_SET_ITEM(__pyx_t_3, 2, Py_None);
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+ __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;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_5);
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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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__pyx_v_xtype = __pyx_t_9;
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__Pyx_GIVEREF(__pyx_t_5);
__Pyx_GOTREF(__pyx_v_self->dtype);
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__pyx_t_5 = 0;
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goto __pyx_L31;
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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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*/
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*/
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*/
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+ /* "netCDF4/_netCDF4.pyx":3038
* else:
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*/
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+ /* "netCDF4/_netCDF4.pyx":3032
* if grp.data_model in ['NETCDF4','NETCDF4_CLASSIC']:
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@@ -27050,14 +27064,14 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
*/
}
- /* "netCDF4/_netCDF4.pyx":3041
+ /* "netCDF4/_netCDF4.pyx":3042
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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*/
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+ /* "netCDF4/_netCDF4.pyx":3044
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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 = 3044; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3046
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3046; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":3044
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*/
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+ /* "netCDF4/_netCDF4.pyx":3042
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*/
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*/
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if (__pyx_t_8) {
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*/
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goto __pyx_L68;
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__Pyx_GOTREF(__pyx_t_3);
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3059; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3060; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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* if grp.data_model != 'NETCDF4': grp._enddef()
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+ /* "netCDF4/_netCDF4.pyx":3062
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+ /* "netCDF4/_netCDF4.pyx":3063
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}
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goto __pyx_L76_bool_binop_done;
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+ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_contiguous); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3064; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L76_bool_binop_done:;
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@@ -27410,7 +27424,7 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
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- /* "netCDF4/_netCDF4.pyx":3065
+ /* "netCDF4/_netCDF4.pyx":3066
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*/
free(__pyx_v_chunksizesp);
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+ /* "netCDF4/_netCDF4.pyx":3067
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if (__pyx_t_2) {
- /* "netCDF4/_netCDF4.pyx":3067
+ /* "netCDF4/_netCDF4.pyx":3068
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@@ -27454,17 +27468,17 @@ static int __pyx_pf_7netCDF4_8_netCDF4_8Variable___init__(struct __pyx_obj_7netC
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+ __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3069; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
}
- /* "netCDF4/_netCDF4.pyx":3063
+ /* "netCDF4/_netCDF4.pyx":3064
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*/
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*/
}
- /* "netCDF4/_netCDF4.pyx":3070
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+ __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_endian, __pyx_n_s_little, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3071; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L80;
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+ __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_endian, __pyx_n_s_big, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3073; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_2) {
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- /* "netCDF4/_netCDF4.pyx":3072
+ /* "netCDF4/_netCDF4.pyx":3073
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goto __pyx_L80;
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+ __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_endian, __pyx_n_s_native, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3075; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L80;
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}
- /* "netCDF4/_netCDF4.pyx":3089
+ /* "netCDF4/_netCDF4.pyx":3090
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goto __pyx_L22_except_error;
__pyx_L22_except_error:;
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__pyx_L27_try_end:;
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- /* "netCDF4/_netCDF4.pyx":3182
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goto __pyx_L19;
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__pyx_L19:;
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__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
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return __pyx_r;
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#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":3207
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}
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+ /* "netCDF4/_netCDF4.pyx":3206
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}
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+ /* "netCDF4/_netCDF4.pyx":3208
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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- /* "netCDF4/_netCDF4.pyx":3207
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*/
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+ /* "netCDF4/_netCDF4.pyx":3211
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+ /* "netCDF4/_netCDF4.pyx":3212
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}
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+ /* "netCDF4/_netCDF4.pyx":3213
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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- /* "netCDF4/_netCDF4.pyx":3342
+ /* "netCDF4/_netCDF4.pyx":3343
* ierr = nc_del_att(self._grpid, self._varid, attname)
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@@ -32169,7 +32183,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_22delncattr(struct __pyx_
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3343
+ /* "netCDF4/_netCDF4.pyx":3344
* if self._grp.data_model != 'NETCDF4': self._grp._enddef()
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* def filters(self):
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__pyx_t_2 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3344; __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_4, 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_4, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3344; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 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 = 3343; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3344; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3342
+ /* "netCDF4/_netCDF4.pyx":3343
* ierr = nc_del_att(self._grpid, self._varid, attname)
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@@ -32201,7 +32215,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_22delncattr(struct __pyx_
*/
}
- /* "netCDF4/_netCDF4.pyx":3329
+ /* "netCDF4/_netCDF4.pyx":3330
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*
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@@ -32225,7 +32239,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_22delncattr(struct __pyx_
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":3345
+/* "netCDF4/_netCDF4.pyx":3346
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -32266,38 +32280,38 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("filters", 0);
- /* "netCDF4/_netCDF4.pyx":3351
+ /* "netCDF4/_netCDF4.pyx":3352
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* cdef int ierr,ideflate,ishuffle,ideflate_level,ifletcher32
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* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
* with nogil:
*/
- __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3352; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_shuffle, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_fletcher32, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_zlib, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3352; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_shuffle, Py_False) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3352; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":3352
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* cdef int ierr,ideflate,ishuffle,ideflate_level,ifletcher32
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if (__pyx_t_3) {
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goto __pyx_L4_bool_binop_done;
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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 = 3353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -32308,7 +32322,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
goto __pyx_L0;
}
- /* "netCDF4/_netCDF4.pyx":3353
+ /* "netCDF4/_netCDF4.pyx":3354
* filtdict = {'zlib':False,'shuffle':False,'complevel':0,'fletcher32':False}
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@@ -32322,7 +32336,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3354
+ /* "netCDF4/_netCDF4.pyx":3355
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return
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}
- /* "netCDF4/_netCDF4.pyx":3353
+ /* "netCDF4/_netCDF4.pyx":3354
* filtdict = {'zlib':False,'shuffle':False,'complevel':0,'fletcher32':False}
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@@ -32350,7 +32364,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
}
}
- /* "netCDF4/_netCDF4.pyx":3355
+ /* "netCDF4/_netCDF4.pyx":3356
* with nogil:
* ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
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__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3356
+ /* "netCDF4/_netCDF4.pyx":3357
* ierr = nc_inq_var_deflate(self._grpid, self._varid, &ishuffle, &ideflate, &ideflate_level)
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__pyx_t_4 = ((char *)nc_strerror(__pyx_v_ierr));
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+ __pyx_t_1 = __Pyx_decode_c_string(__pyx_t_4, 0, strlen(__pyx_t_4), NULL, NULL, PyUnicode_DecodeASCII); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
__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 = 3357; __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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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3356; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3355
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* with nogil:
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*/
}
- /* "netCDF4/_netCDF4.pyx":3357
+ /* "netCDF4/_netCDF4.pyx":3358
* if ierr != NC_NOERR:
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@@ -32406,7 +32420,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3358
+ /* "netCDF4/_netCDF4.pyx":3359
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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}
- /* "netCDF4/_netCDF4.pyx":3357
+ /* "netCDF4/_netCDF4.pyx":3358
* if ierr != NC_NOERR:
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}
}
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+ /* "netCDF4/_netCDF4.pyx":3360
* with nogil:
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__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
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* ierr = nc_inq_var_fletcher32(self._grpid, self._varid, &ifletcher32)
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@@ -32452,22 +32466,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
* filtdict['zlib']=True
*/
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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_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 = 3360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3359
+ /* "netCDF4/_netCDF4.pyx":3360
* with nogil:
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* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -32476,7 +32490,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3361
+ /* "netCDF4/_netCDF4.pyx":3362
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if ideflate: # <<<<<<<<<<<<<<
@@ -32486,28 +32500,28 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
__pyx_t_3 = (__pyx_v_ideflate != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3362
+ /* "netCDF4/_netCDF4.pyx":3363
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if ideflate:
* filtdict['zlib']=True # <<<<<<<<<<<<<<
* filtdict['complevel']=ideflate_level
* if ishuffle:
*/
- if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_zlib, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_zlib, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3363; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3363
+ /* "netCDF4/_netCDF4.pyx":3364
* if ideflate:
* filtdict['zlib']=True
* filtdict['complevel']=ideflate_level # <<<<<<<<<<<<<<
* if ishuffle:
* filtdict['shuffle']=True
*/
- __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_ideflate_level); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3363; __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 = 3364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_complevel, __pyx_t_1) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3363; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_complevel, __pyx_t_1) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3361
+ /* "netCDF4/_netCDF4.pyx":3362
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if ideflate: # <<<<<<<<<<<<<<
@@ -32516,7 +32530,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3364
+ /* "netCDF4/_netCDF4.pyx":3365
* filtdict['zlib']=True
* filtdict['complevel']=ideflate_level
* if ishuffle: # <<<<<<<<<<<<<<
@@ -32526,16 +32540,16 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
__pyx_t_3 = (__pyx_v_ishuffle != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3365
+ /* "netCDF4/_netCDF4.pyx":3366
* filtdict['complevel']=ideflate_level
* if ishuffle:
* filtdict['shuffle']=True # <<<<<<<<<<<<<<
* if ifletcher32:
* filtdict['fletcher32']=True
*/
- if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_shuffle, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3365; __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 = 3366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3364
+ /* "netCDF4/_netCDF4.pyx":3365
* filtdict['zlib']=True
* filtdict['complevel']=ideflate_level
* if ishuffle: # <<<<<<<<<<<<<<
@@ -32544,7 +32558,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3366
+ /* "netCDF4/_netCDF4.pyx":3367
* if ishuffle:
* filtdict['shuffle']=True
* if ifletcher32: # <<<<<<<<<<<<<<
@@ -32554,16 +32568,16 @@ 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":3367
+ /* "netCDF4/_netCDF4.pyx":3368
* filtdict['shuffle']=True
* if ifletcher32:
* filtdict['fletcher32']=True # <<<<<<<<<<<<<<
* return filtdict
*
*/
- if (unlikely(PyDict_SetItem(__pyx_v_filtdict, __pyx_n_s_fletcher32, Py_True) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3367; __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 = 3368; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3366
+ /* "netCDF4/_netCDF4.pyx":3367
* if ishuffle:
* filtdict['shuffle']=True
* if ifletcher32: # <<<<<<<<<<<<<<
@@ -32572,7 +32586,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
*/
}
- /* "netCDF4/_netCDF4.pyx":3368
+ /* "netCDF4/_netCDF4.pyx":3369
* if ifletcher32:
* filtdict['fletcher32']=True
* return filtdict # <<<<<<<<<<<<<<
@@ -32584,7 +32598,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
__pyx_r = __pyx_v_filtdict;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3345
+ /* "netCDF4/_netCDF4.pyx":3346
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
*
* def filters(self): # <<<<<<<<<<<<<<
@@ -32605,7 +32619,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_24filters(struct __pyx_ob
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":3370
+/* "netCDF4/_netCDF4.pyx":3371
* return filtdict
*
* def endian(self): # <<<<<<<<<<<<<<
@@ -32642,29 +32656,29 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("endian", 0);
- /* "netCDF4/_netCDF4.pyx":3376
+ /* "netCDF4/_netCDF4.pyx":3377
* return endian-ness (`little,big,native`) of variable (as stored in HDF5 file)."""
* cdef int ierr, iendian
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: # <<<<<<<<<<<<<<
* return 'native'
* with nogil:
*/
- __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 = 3376; __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 = 3377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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+ __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 = 3377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_3) {
} else {
__pyx_t_2 = __pyx_t_3;
goto __pyx_L4_bool_binop_done;
}
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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 = 3377; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L4_bool_binop_done:;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_3 = (__pyx_t_2 != 0);
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- /* "netCDF4/_netCDF4.pyx":3377
+ /* "netCDF4/_netCDF4.pyx":3378
* cdef int ierr, iendian
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']:
* return 'native' # <<<<<<<<<<<<<<
@@ -32676,7 +32690,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_native;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3376
+ /* "netCDF4/_netCDF4.pyx":3377
* return endian-ness (`little,big,native`) of variable (as stored in HDF5 file)."""
* cdef int ierr, iendian
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: # <<<<<<<<<<<<<<
@@ -32685,7 +32699,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
}
- /* "netCDF4/_netCDF4.pyx":3378
+ /* "netCDF4/_netCDF4.pyx":3379
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']:
* return 'native'
* with nogil: # <<<<<<<<<<<<<<
@@ -32699,7 +32713,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":3379
+ /* "netCDF4/_netCDF4.pyx":3380
* return 'native'
* with nogil:
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@@ -32709,7 +32723,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_v_ierr = nc_inq_var_endian(__pyx_v_self->_grpid, __pyx_v_self->_varid, (&__pyx_v_iendian));
}
- /* "netCDF4/_netCDF4.pyx":3378
+ /* "netCDF4/_netCDF4.pyx":3379
* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']:
* return 'native'
* with nogil: # <<<<<<<<<<<<<<
@@ -32727,7 +32741,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
}
}
- /* "netCDF4/_netCDF4.pyx":3380
+ /* "netCDF4/_netCDF4.pyx":3381
* with nogil:
* ierr = nc_inq_var_endian(self._grpid, self._varid, &iendian)
* if ierr != NC_NOERR: # <<<<<<<<<<<<<<
@@ -32737,7 +32751,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_t_3 = ((__pyx_v_ierr != NC_NOERR) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":3381
+ /* "netCDF4/_netCDF4.pyx":3382
* ierr = nc_inq_var_endian(self._grpid, self._varid, &iendian)
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii')) # <<<<<<<<<<<<<<
@@ -32745,22 +32759,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
* return 'little'
*/
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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 = 3382; __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 = 3382; __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 = 3382; __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 = 3381; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":3380
+ /* "netCDF4/_netCDF4.pyx":3381
* with nogil:
* ierr = nc_inq_var_endian(self._grpid, self._varid, &iendian)
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@@ -32769,7 +32783,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
}
- /* "netCDF4/_netCDF4.pyx":3382
+ /* "netCDF4/_netCDF4.pyx":3383
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -32779,7 +32793,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
switch (__pyx_v_iendian) {
case NC_ENDIAN_LITTLE:
- /* "netCDF4/_netCDF4.pyx":3383
+ /* "netCDF4/_netCDF4.pyx":3384
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE:
* return 'little' # <<<<<<<<<<<<<<
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__pyx_r = __pyx_n_s_little;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3382
+ /* "netCDF4/_netCDF4.pyx":3383
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* if iendian == NC_ENDIAN_LITTLE: # <<<<<<<<<<<<<<
@@ -32800,7 +32814,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
break;
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+ /* "netCDF4/_netCDF4.pyx":3385
* if iendian == NC_ENDIAN_LITTLE:
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@@ -32809,7 +32823,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
*/
case NC_ENDIAN_BIG:
- /* "netCDF4/_netCDF4.pyx":3385
+ /* "netCDF4/_netCDF4.pyx":3386
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@@ -32821,7 +32835,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
__pyx_r = __pyx_n_s_big;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3384
+ /* "netCDF4/_netCDF4.pyx":3385
* if iendian == NC_ENDIAN_LITTLE:
* return 'little'
* elif iendian == NC_ENDIAN_BIG: # <<<<<<<<<<<<<<
@@ -32831,7 +32845,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
default:
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+ /* "netCDF4/_netCDF4.pyx":3388
* return 'big'
* else:
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@@ -32845,7 +32859,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
break;
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+ /* "netCDF4/_netCDF4.pyx":3371
* return filtdict
*
* def endian(self): # <<<<<<<<<<<<<<
@@ -32865,7 +32879,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_26endian(struct __pyx_obj
return __pyx_r;
}
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* return 'native'
*
* def chunking(self): # <<<<<<<<<<<<<<
@@ -32908,22 +32922,22 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("chunking", 0);
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+ /* "netCDF4/_netCDF4.pyx":3400
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* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
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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 = 3399; __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 = 3400; __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 = 3399; __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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+ __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;}
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goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":3401
* cdef size_t *chunksizesp
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* ndims = self.ndim # <<<<<<<<<<<<<<
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- __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 = 3400; __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 = 3401; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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* if self._grp.data_model not in ['NETCDF4_CLASSIC','NETCDF4']: return None
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*/
__pyx_v_chunksizesp = ((size_t *)malloc(((sizeof(size_t)) * __pyx_v_ndims)));
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* ndims = self.ndim
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@@ -32968,7 +32982,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
#endif
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":3404
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
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}
- /* "netCDF4/_netCDF4.pyx":3402
+ /* "netCDF4/_netCDF4.pyx":3403
* ndims = self.ndim
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@@ -32996,7 +33010,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
}
}
- /* "netCDF4/_netCDF4.pyx":3404
+ /* "netCDF4/_netCDF4.pyx":3405
* with nogil:
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@@ -33006,7 +33020,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_28chunking(struct __pyx_o
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":3406
* ierr = nc_inq_var_chunking(self._grpid, self._varid, &icontiguous, chunksizesp)
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3405; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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*/
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- /* "netCDF4/_netCDF4.pyx":3406
+ /* "netCDF4/_netCDF4.pyx":3407
* if ierr != NC_NOERR:
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*/
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__pyx_v_chunksizes = ((PyObject*)__pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":3407
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* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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for (__pyx_v_n = 0; __pyx_v_n < __pyx_t_4; __pyx_v_n++) {
- /* "netCDF4/_netCDF4.pyx":3408
+ /* "netCDF4/_netCDF4.pyx":3409
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__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 = 3408; __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 = 3409; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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* for n from 0 <= n < ndims:
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*/
free(__pyx_v_chunksizesp);
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__pyx_t_3 = (__pyx_v_icontiguous != 0);
if (__pyx_t_3) {
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* free(chunksizesp)
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__pyx_r = __pyx_n_s_contiguous;
goto __pyx_L0;
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*/
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goto __pyx_L0;
}
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return __pyx_r;
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int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("get_var_chunk_cache", 0);
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#endif
/*try:*/ {
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if (__pyx_t_1) {
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+ __pyx_t_3 = PyFloat_FromDouble(__pyx_v_preemptionp); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_preemption = __pyx_t_3;
__pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":3431
+ /* "netCDF4/_netCDF4.pyx":3432
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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@@ -33296,11 +33310,11 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
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*/
__Pyx_XDECREF(__pyx_r);
- __pyx_t_3 = __Pyx_PyInt_FromSize_t(__pyx_v_size); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyInt_FromSize_t(__pyx_v_size); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_4 = __Pyx_PyInt_FromSize_t(__pyx_v_nelems); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = __Pyx_PyInt_FromSize_t(__pyx_v_nelems); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
- __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3431; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_GIVEREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3);
@@ -33315,7 +33329,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
__pyx_t_5 = 0;
goto __pyx_L0;
- /* "netCDF4/_netCDF4.pyx":3415
+ /* "netCDF4/_netCDF4.pyx":3416
* return chunksizes
*
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@@ -33337,7 +33351,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_30get_var_chunk_cache(str
return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":3433
+/* "netCDF4/_netCDF4.pyx":3434
* return (size,nelems,preemption)
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* def set_var_chunk_cache(self,size=None,nelems=None,preemption=None): # <<<<<<<<<<<<<<
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}
}
if (unlikely(kw_args > 0)) {
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}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
@@ -33410,7 +33424,7 @@ static PyObject *__pyx_pw_7netCDF4_8_netCDF4_8Variable_33set_var_chunk_cache(PyO
}
goto __pyx_L4_argument_unpacking_done;
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- __Pyx_RaiseArgtupleInvalid("set_var_chunk_cache", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3433; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+ __Pyx_RaiseArgtupleInvalid("set_var_chunk_cache", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3434; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("netCDF4._netCDF4.Variable.set_var_chunk_cache", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
@@ -33449,14 +33463,14 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
int __pyx_clineno = 0;
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+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_get_var_chunk_cache); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = NULL;
if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_2))) {
@@ -33469,10 +33483,10 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
}
}
if (__pyx_t_3) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
} else {
- __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3444; __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 = 3445; __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;
@@ -33486,7 +33500,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
if (unlikely(size != 3)) {
if (size > 3) __Pyx_RaiseTooManyValuesError(3);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -33502,17 +33516,17 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
__Pyx_INCREF(__pyx_t_3);
__Pyx_INCREF(__pyx_t_4);
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+ __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __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 = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
- __pyx_t_4 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_4 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ __pyx_t_5 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_6 = Py_TYPE(__pyx_t_5)->tp_iternext;
@@ -33522,7 +33536,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
__Pyx_GOTREF(__pyx_t_3);
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+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3445; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_6 = NULL;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
goto __pyx_L4_unpacking_done;
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_6 = NULL;
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3444; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_L4_unpacking_done:;
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@@ -33540,7 +33554,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
__pyx_v_preemption_orig = __pyx_t_4;
__pyx_t_4 = 0;
- /* "netCDF4/_netCDF4.pyx":3445
+ /* "netCDF4/_netCDF4.pyx":3446
* # reset chunk cache size, leave other parameters unchanged.
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":3446
+ /* "netCDF4/_netCDF4.pyx":3447
* size_orig, nelems_orig, preemption_orig = self.get_var_chunk_cache()
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+ __pyx_t_9 = __Pyx_PyInt_As_size_t(__pyx_v_size); if (unlikely((__pyx_t_9 == (size_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3447; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_sizep = __pyx_t_9;
- /* "netCDF4/_netCDF4.pyx":3445
+ /* "netCDF4/_netCDF4.pyx":3446
* # reset chunk cache size, leave other parameters unchanged.
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* if size is not None: # <<<<<<<<<<<<<<
@@ -33571,7 +33585,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
goto __pyx_L5;
}
- /* "netCDF4/_netCDF4.pyx":3448
+ /* "netCDF4/_netCDF4.pyx":3449
* sizep = size
* else:
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@@ -33579,12 +33593,12 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
* nelemsp = nelems
*/
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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 = 3448; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 3449; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_sizep = __pyx_t_9;
}
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+ /* "netCDF4/_netCDF4.pyx":3450
* else:
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@@ -33595,17 +33609,17 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
__pyx_t_7 = (__pyx_t_8 != 0);
if (__pyx_t_7) {
- /* "netCDF4/_netCDF4.pyx":3450
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- __pyx_t_9 = __Pyx_PyInt_As_size_t(__pyx_v_nelems); if (unlikely((__pyx_t_9 == (size_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3450; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_9 = __Pyx_PyInt_As_size_t(__pyx_v_nelems); if (unlikely((__pyx_t_9 == (size_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_nelemsp = __pyx_t_9;
- /* "netCDF4/_netCDF4.pyx":3449
+ /* "netCDF4/_netCDF4.pyx":3450
* else:
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@@ -33615,7 +33629,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
goto __pyx_L6;
}
- /* "netCDF4/_netCDF4.pyx":3452
+ /* "netCDF4/_netCDF4.pyx":3453
* nelemsp = nelems
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+ __pyx_t_9 = __Pyx_PyInt_As_size_t(__pyx_v_nelems_orig); if (unlikely((__pyx_t_9 == (size_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3453; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_nelemsp = __pyx_t_9;
}
__pyx_L6:;
- /* "netCDF4/_netCDF4.pyx":3453
+ /* "netCDF4/_netCDF4.pyx":3454
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__pyx_t_8 = (__pyx_t_7 != 0);
if (__pyx_t_8) {
- /* "netCDF4/_netCDF4.pyx":3454
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- __pyx_t_10 = __pyx_PyFloat_AsFloat(__pyx_v_preemption); if (unlikely((__pyx_t_10 == (float)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = __pyx_PyFloat_AsFloat(__pyx_v_preemption); if (unlikely((__pyx_t_10 == (float)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3455; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_preemptionp = __pyx_t_10;
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+ /* "netCDF4/_netCDF4.pyx":3454
* else:
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* if preemption is not None: # <<<<<<<<<<<<<<
@@ -33659,7 +33673,7 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_8Variable_32set_var_chunk_cache(str
goto __pyx_L7;
}
- /* "netCDF4/_netCDF4.pyx":3456
+ /* "netCDF4/_netCDF4.pyx":3457
* preemptionp = preemption
* else:
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+ __pyx_t_10 = __pyx_PyFloat_AsFloat(__pyx_v_preemption_orig); if (unlikely((__pyx_t_10 == (float)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3457; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_preemptionp = __pyx_t_10;
}
__pyx_L7:;
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+ /* "netCDF4/_netCDF4.pyx":3458
* else:
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*/
__pyx_v_ierr = nc_set_var_chunk_cache(__pyx_v_self->_grpid, __pyx_v_self->_varid, __pyx_v_sizep, __pyx_v_nelemsp, __pyx_v_preemptionp);
- /* "netCDF4/_netCDF4.pyx":3459
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__Pyx_XGOTREF(__pyx_t_12);
/*try:*/ {
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+ /* "netCDF4/_netCDF4.pyx":3627
* # is scalar missing value a NaN?
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* mvalisnan = False
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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":3621
+ /* "netCDF4/_netCDF4.pyx":3626
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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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+ /* "netCDF4/_netCDF4.pyx":3628
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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 = 3628; __pyx_clineno = __LINE__; goto __pyx_L12_except_error;}
__Pyx_GOTREF(__pyx_t_1);
__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":3626
* 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":3626
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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 = 3631; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_6 = 1;
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}
- __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3626; __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 = 3631; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_7); __pyx_t_7 = NULL;
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__pyx_t_2 = 0;
__pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v_hasmval = __pyx_t_3;
__pyx_t_3 = 0;
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+ /* "netCDF4/_netCDF4.pyx":3632
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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 = 3627; __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 = 3632; __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;}
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__pyx_t_1 = 0;
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__Pyx_DECREF_SET(__pyx_v_fill_value, __pyx_v_mval);
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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);
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__Pyx_DECREF_SET(__pyx_v_totalmask, __pyx_t_2);
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*/
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*/
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return __pyx_r;
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__Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4403
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__Pyx_GOTREF(__pyx_t_8);
__Pyx_GOTREF(__pyx_t_7);
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__Pyx_GIVEREF(__pyx_t_7);
PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_7);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4400
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+ /* "netCDF4/_netCDF4.pyx":4413
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__Pyx_DECREF_SET(__pyx_v_bytestr, __pyx_t_8);
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if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_3)) break;
#if CYTHON_COMPILING_IN_CPYTHON
- __pyx_t_1 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
- __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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} else {
if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
#if CYTHON_COMPILING_IN_CPYTHON
- __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
- __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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@@ -49924,7 +50181,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
PyObject* exc_type = PyErr_Occurred();
if (exc_type) {
if (likely(exc_type == PyExc_StopIteration || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
break;
}
@@ -49940,7 +50197,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
if (unlikely(size != 2)) {
if (size > 2) __Pyx_RaiseTooManyValuesError(2);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
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if (likely(PyTuple_CheckExact(sequence))) {
@@ -49953,15 +50210,15 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
__Pyx_INCREF(__pyx_t_2);
__Pyx_INCREF(__pyx_t_6);
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+ __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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+ __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
} else {
Py_ssize_t index = -1;
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+ __pyx_t_7 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext;
@@ -49969,7 +50226,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
__Pyx_GOTREF(__pyx_t_2);
index = 1; __pyx_t_6 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_6)) goto __pyx_L5_unpacking_failed;
__Pyx_GOTREF(__pyx_t_6);
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+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_8 = NULL;
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
goto __pyx_L6_unpacking_done;
@@ -49977,7 +50234,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
__pyx_t_8 = NULL;
if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4436; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4451; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_L6_unpacking_done:;
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__Pyx_XDECREF_SET(__pyx_v_cmpname, __pyx_t_2);
@@ -49985,50 +50242,50 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
__Pyx_XDECREF_SET(__pyx_v_cmpdt, __pyx_t_6);
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4437
+ /* "netCDF4/_netCDF4.pyx":4452
* match = False
* for cmpname, cmpdt in grp.cmptypes.items():
* xtype = cmpdt._nc_type # <<<<<<<<<<<<<<
* names1 = dtype.names; names2 = cmpdt.dtype.names
* formats1 = [v[0] for v in dtype.fields.values()]
*/
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_cmpdt, __pyx_n_s_nc_type); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4452; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v_xtype = __pyx_t_9;
- /* "netCDF4/_netCDF4.pyx":4438
+ /* "netCDF4/_netCDF4.pyx":4453
* for cmpname, cmpdt in grp.cmptypes.items():
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* formats1 = [v[0] for v in dtype.fields.values()]
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_names); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4453; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_XDECREF_SET(__pyx_v_names1, __pyx_t_1);
__pyx_t_1 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_cmpdt, __pyx_n_s_dtype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4453; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
- __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_names); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4438; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_names); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4453; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF_SET(__pyx_v_names2, __pyx_t_6);
__pyx_t_6 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4454
* xtype = cmpdt._nc_type
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* formats1 = [v[0] for v in dtype.fields.values()] # <<<<<<<<<<<<<<
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- __pyx_t_6 = PyList_New(0); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_6 = PyList_New(0); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
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+ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_dtype, __pyx_n_s_fields); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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+ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_values); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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@@ -50042,10 +50299,10 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
}
}
if (__pyx_t_2) {
- __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_7); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
@@ -50053,9 +50310,9 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
__pyx_t_7 = __pyx_t_1; __Pyx_INCREF(__pyx_t_7); __pyx_t_10 = 0;
__pyx_t_11 = NULL;
} else {
- __pyx_t_10 = -1; __pyx_t_7 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = -1; __pyx_t_7 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
- __pyx_t_11 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_11 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
for (;;) {
@@ -50063,17 +50320,17 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
if (likely(PyList_CheckExact(__pyx_t_7))) {
if (__pyx_t_10 >= PyList_GET_SIZE(__pyx_t_7)) break;
#if CYTHON_COMPILING_IN_CPYTHON
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+ __pyx_t_1 = PyList_GET_ITEM(__pyx_t_7, __pyx_t_10); __Pyx_INCREF(__pyx_t_1); __pyx_t_10++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
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+ __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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} else {
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+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_7, __pyx_t_10); __Pyx_INCREF(__pyx_t_1); __pyx_t_10++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
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+ __pyx_t_1 = PySequence_ITEM(__pyx_t_7, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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@@ -50083,7 +50340,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
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if (exc_type) {
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- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4439; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
break;
}
@@ -50091,30 +50348,30 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__find_cmptype(PyObject *__pyx_v_grp,
}
__Pyx_XDECREF_SET(__pyx_v_v, __pyx_t_1);
__pyx_t_1 = 0;
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+ __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_v, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4454; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__Pyx_GOTREF(__pyx_t_1);
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*/
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- /* "netCDF4/_netCDF4.pyx":4454
+ /* "netCDF4/_netCDF4.pyx":4469
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__pyx_v_xtype = __pyx_t_9;
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*/
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- /* "netCDF4/_netCDF4.pyx":4455
+ /* "netCDF4/_netCDF4.pyx":4470
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+ __pyx_t_1 = __Pyx_PyInt_From_nc_type(__pyx_v_xtype); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4470; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
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+ /* "netCDF4/_netCDF4.pyx":4446
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return __pyx_r;
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}
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+ __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4485; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ /* "netCDF4/_netCDF4.pyx":4486
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#endif
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+ /* "netCDF4/_netCDF4.pyx":4487
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+ /* "netCDF4/_netCDF4.pyx":4486
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}
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+ /* "netCDF4/_netCDF4.pyx":4488
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_INCREF(__pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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+ /* "netCDF4/_netCDF4.pyx":4488
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*/
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+ /* "netCDF4/_netCDF4.pyx":4490
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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@@ -50634,7 +50891,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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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;
@@ -50645,50 +50902,50 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_name = __pyx_t_1;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4492; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_names = __pyx_t_1;
__pyx_t_1 = 0;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4493; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_formats = __pyx_t_1;
__pyx_t_1 = 0;
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+ __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4494; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_offsets = ((PyObject*)__pyx_t_1);
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for (__pyx_v_nf = 0; __pyx_v_nf < __pyx_t_11; __pyx_v_nf++) {
- /* "netCDF4/_netCDF4.pyx":4481
+ /* "netCDF4/_netCDF4.pyx":4496
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#endif
/*try:*/ {
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- /* "netCDF4/_netCDF4.pyx":4481
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if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":4491
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goto __pyx_L34;
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goto __pyx_L20_except_error;
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__pyx_L25_try_end:;
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__Pyx_GIVEREF(__pyx_v_field_type);
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__Pyx_GIVEREF(__pyx_v_field_shape);
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+ /* "netCDF4/_netCDF4.pyx":4529
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goto __pyx_L35;
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__pyx_L35:;
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@@ -51199,7 +51456,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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if (__pyx_t_10) {
__Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_10); __pyx_t_10 = NULL;
@@ -51210,21 +51467,21 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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__Pyx_GIVEREF(__pyx_v_offsets);
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__Pyx_DECREF_SET(__pyx_v_names, __pyx_t_8);
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__Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_7); __pyx_t_7 = NULL;
@@ -51249,38 +51506,38 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_compound(PyObject *__pyx_v_gro
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__Pyx_GIVEREF(__pyx_v_offsets);
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__Pyx_DECREF_SET(__pyx_v_formats, __pyx_t_8);
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__Pyx_INCREF(__pyx_v_group);
__Pyx_GIVEREF(__pyx_v_group);
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goto __pyx_L3;
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__pyx_v_self->name = Py_None;
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+ /* "netCDF4/_netCDF4.pyx":4639
* cdef char vl_namstring[NC_MAX_NAME+1]
* _grpid = group._grpid
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__pyx_t_3 = ((__pyx_v_xtype == NC_STRING) != 0);
if (__pyx_t_3) {
- /* "netCDF4/_netCDF4.pyx":4625
+ /* "netCDF4/_netCDF4.pyx":4640
* _grpid = group._grpid
* if xtype == NC_STRING:
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__Pyx_INCREF(((PyObject *)(&PyString_Type)));
__pyx_v_dt = ((PyObject *)(&PyString_Type));
- /* "netCDF4/_netCDF4.pyx":4626
+ /* "netCDF4/_netCDF4.pyx":4641
* if xtype == NC_STRING:
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__Pyx_INCREF(Py_None);
__pyx_v_name = Py_None;
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+ /* "netCDF4/_netCDF4.pyx":4639
* cdef char vl_namstring[NC_MAX_NAME+1]
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goto __pyx_L3;
}
- /* "netCDF4/_netCDF4.pyx":4628
+ /* "netCDF4/_netCDF4.pyx":4643
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#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4629
+ /* "netCDF4/_netCDF4.pyx":4644
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}
- /* "netCDF4/_netCDF4.pyx":4628
+ /* "netCDF4/_netCDF4.pyx":4643
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}
}
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+ /* "netCDF4/_netCDF4.pyx":4645
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":4646
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+ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4646; __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 = 4646; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4631; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":4630
+ /* "netCDF4/_netCDF4.pyx":4645
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+ /* "netCDF4/_netCDF4.pyx":4647
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_GOTREF(__pyx_t_5);
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+ __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_unicode_error); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4647; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_9 = 0;
@@ -52724,7 +52981,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_vlen(PyObject *__pyx_v_group,
__pyx_t_9 = 1;
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}
- __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4647; __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;
@@ -52735,14 +52992,14 @@ 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_t_1 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4647; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_name = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":4633
+ /* "netCDF4/_netCDF4.pyx":4648
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4634
+ /* "netCDF4/_netCDF4.pyx":4649
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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_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4635
+ /* "netCDF4/_netCDF4.pyx":4650
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__pyx_t_14 = (__pyx_t_3 != 0);
if (__pyx_t_14) {
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__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
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- /* "netCDF4/_netCDF4.pyx":4636
+ /* "netCDF4/_netCDF4.pyx":4651
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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 = 4651; __pyx_clineno = __LINE__; goto __pyx_L8_error;}
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
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__Pyx_GIVEREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_v_datatype);
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__pyx_v_dt = __pyx_t_6;
__pyx_t_6 = 0;
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
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__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 = 4652; __pyx_clineno = __LINE__; goto __pyx_L10_except_error;}
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__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_7);
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__95, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4653; __pyx_clineno = __LINE__; goto __pyx_L10_except_error;}
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__Pyx_GIVEREF(__pyx_v_name);
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return __pyx_r;
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goto __pyx_L5_argtuple_error;
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goto __pyx_L3;
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- /* "netCDF4/_netCDF4.pyx":4686
+ /* "netCDF4/_netCDF4.pyx":4701
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__pyx_v_self->_nc_type = __pyx_v_xtype;
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__pyx_v_self->dtype = __pyx_v_dt;
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__pyx_v_self->enum_dict = __pyx_v_enum_dict;
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+ __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_10); __Pyx_INCREF(__pyx_t_4); __pyx_t_10++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyObject* exc_type = PyErr_Occurred();
if (exc_type) {
if (likely(exc_type == PyExc_StopIteration || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4723; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
break;
}
@@ -54176,64 +54433,64 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__def_enum(PyObject *__pyx_v_grp, PyO
__Pyx_XDECREF_SET(__pyx_v_field, __pyx_t_4);
__pyx_t_4 = 0;
- /* "netCDF4/_netCDF4.pyx":4724
+ /* "netCDF4/_netCDF4.pyx":4739
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* for field in enum_dict:
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* bytestr = _strencode(field)
* namstring = bytestr
*/
- __pyx_t_4 = PyObject_GetItem(__pyx_v_enum_dict, __pyx_v_field); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4724; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
+ __pyx_t_4 = PyObject_GetItem(__pyx_v_enum_dict, __pyx_v_field); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4739; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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__Pyx_XDECREF_SET(__pyx_v_value, __pyx_t_4);
__pyx_t_4 = 0;
- /* "netCDF4/_netCDF4.pyx":4725
+ /* "netCDF4/_netCDF4.pyx":4740
* for field in enum_dict:
* value = enum_dict[field]
* bytestr = _strencode(field) # <<<<<<<<<<<<<<
* namstring = bytestr
* val = value
*/
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__Pyx_DECREF_SET(__pyx_v_bytestr, __pyx_t_4);
__pyx_t_4 = 0;
- /* "netCDF4/_netCDF4.pyx":4726
+ /* "netCDF4/_netCDF4.pyx":4741
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* bytestr = _strencode(field)
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__pyx_v_namstring = __pyx_t_2;
- /* "netCDF4/_netCDF4.pyx":4727
+ /* "netCDF4/_netCDF4.pyx":4742
* bytestr = _strencode(field)
* namstring = bytestr
* val = value # <<<<<<<<<<<<<<
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__pyx_v_val = __pyx_t_9;
- /* "netCDF4/_netCDF4.pyx":4728
+ /* "netCDF4/_netCDF4.pyx":4743
* namstring = bytestr
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* ierr = nc_insert_enum(grp._grpid, xtype, namstring, &val) # <<<<<<<<<<<<<<
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- /* "netCDF4/_netCDF4.pyx":4729
+ /* "netCDF4/_netCDF4.pyx":4744
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if (__pyx_t_7) {
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+ /* "netCDF4/_netCDF4.pyx":4745
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__Pyx_GIVEREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_4);
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+ __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4745; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4730; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4745; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":4729
+ /* "netCDF4/_netCDF4.pyx":4744
* val = value
* ierr = nc_insert_enum(grp._grpid, xtype, namstring, &val)
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@@ -54275,7 +54532,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__def_enum(PyObject *__pyx_v_grp, PyO
*/
}
- /* "netCDF4/_netCDF4.pyx":4723
+ /* "netCDF4/_netCDF4.pyx":4738
* raise KeyError(msg)
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* for field in enum_dict: # <<<<<<<<<<<<<<
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}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":4731
+ /* "netCDF4/_netCDF4.pyx":4746
* if ierr != NC_NOERR:
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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* cdef _read_enum(group, nc_type xtype, endian=None):
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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 = 4731; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_3 = __Pyx_PyInt_From_nc_type(__pyx_v_xtype); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4746; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
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+ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4746; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__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;
- /* "netCDF4/_netCDF4.pyx":4703
+ /* "netCDF4/_netCDF4.pyx":4718
* (self.name, self.dtype, self.enum_dict)
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return __pyx_r;
}
-/* "netCDF4/_netCDF4.pyx":4733
+/* "netCDF4/_netCDF4.pyx":4748
* return xtype, dt
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}
}
- /* "netCDF4/_netCDF4.pyx":4743
+ /* "netCDF4/_netCDF4.pyx":4758
* cdef char enum_namstring[NC_MAX_NAME+1]
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__pyx_v__grpid = __pyx_t_2;
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+ /* "netCDF4/_netCDF4.pyx":4760
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@@ -54409,7 +54666,7 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
#endif
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4746
+ /* "netCDF4/_netCDF4.pyx":4761
* # get name, datatype, and number of members.
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}
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}
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* ierr = nc_inq_enum(_grpid, xtype, enum_namstring, &base_xtype, NULL,\
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if (__pyx_t_3) {
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+ /* "netCDF4/_netCDF4.pyx":4763
* ierr = nc_inq_enum(_grpid, xtype, enum_namstring, &base_xtype, NULL,\
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*/
}
- /* "netCDF4/_netCDF4.pyx":4750
+ /* "netCDF4/_netCDF4.pyx":4765
* if ierr != NC_NOERR:
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+ __pyx_t_5 = __Pyx_PyObject_FromString(__pyx_v_enum_namstring); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4765; __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 = 4765; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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 = 4750; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_10);
if (__pyx_t_8) {
__Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_8); __pyx_t_8 = NULL;
@@ -54518,14 +54775,14 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_7);
__pyx_t_5 = 0;
__pyx_t_7 = 0;
- __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 = 4750; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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 = 4765; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_v_name = __pyx_t_1;
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":4751
+ /* "netCDF4/_netCDF4.pyx":4766
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XGOTREF(__pyx_t_13);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":4752
+ /* "netCDF4/_netCDF4.pyx":4767
* name = enum_namstring.decode(default_encoding,unicode_error)
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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 = 4767; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
__Pyx_GOTREF(__pyx_t_1);
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+ __pyx_t_6 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_base_xtype, nc_type, 1, __Pyx_PyInt_From_nc_type, 0, 1, 1); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4767; __pyx_clineno = __LINE__; goto __pyx_L7_error;};
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v_datatype = __pyx_t_6;
__pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4753
+ /* "netCDF4/_netCDF4.pyx":4768
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__pyx_t_14 = (__pyx_t_3 != 0);
if (__pyx_t_14) {
- __pyx_t_6 = PyNumber_Add(__pyx_v_endian, __pyx_v_datatype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4753; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
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__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF_SET(__pyx_v_datatype, __pyx_t_6);
__pyx_t_6 = 0;
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- /* "netCDF4/_netCDF4.pyx":4754
+ /* "netCDF4/_netCDF4.pyx":4769
* datatype = _nctonptype[base_xtype]
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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 = 4769; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
__Pyx_GOTREF(__pyx_t_10);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = NULL;
@@ -54593,16 +54850,16 @@ static PyObject *__pyx_f_7netCDF4_8_netCDF4__read_enum(PyObject *__pyx_v_group,
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}
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+ __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_10, __pyx_v_datatype); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4769; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
__Pyx_GOTREF(__pyx_t_6);
} else {
- __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4754; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
+ __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4769; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
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__Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
__Pyx_INCREF(__pyx_v_datatype);
__Pyx_GIVEREF(__pyx_v_datatype);
PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_v_datatype);
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+ __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_7, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4769; __pyx_clineno = __LINE__; goto __pyx_L7_error;}
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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;
- /* "netCDF4/_netCDF4.pyx":4751
+ /* "netCDF4/_netCDF4.pyx":4766
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
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__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
- /* "netCDF4/_netCDF4.pyx":4755
+ /* "netCDF4/_netCDF4.pyx":4770
* if endian is not None: datatype = endian + datatype
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if (__pyx_t_2) {
__Pyx_AddTraceback("netCDF4._netCDF4._read_enum", __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 = 4770; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_GOTREF(__pyx_t_10);
__Pyx_GOTREF(__pyx_t_7);
- /* "netCDF4/_netCDF4.pyx":4756
+ /* "netCDF4/_netCDF4.pyx":4771
* dt = numpy.dtype(datatype) # see if it is a primitive type
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+ __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__98, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4771; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_Raise(__pyx_t_1, 0, 0, 0);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4756; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;}
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goto __pyx_L9_except_error;
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__pyx_L14_try_end:;
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+ __pyx_t_7 = PyDict_New(); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4773; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_enum_dict = ((PyObject*)__pyx_t_7);
__pyx_t_7 = 0;
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for (__pyx_v_nmem = 0; __pyx_v_nmem < __pyx_t_15; __pyx_v_nmem++) {
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if (__pyx_t_14) {
- /* "netCDF4/_netCDF4.pyx":4764
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return __pyx_r;
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__Pyx_DECREF_SET(__pyx_v_encoding, __pyx_t_3);
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__Pyx_GOTREF(__pyx_t_9);
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goto __pyx_L0;
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__Pyx_XDECREF_SET(__pyx_v_date, __pyx_t_1);
__pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":4922
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* else:
*/
- __pyx_t_5 = (__pyx_v_ismasked != 0);
- if (__pyx_t_5) {
+ __pyx_t_6 = (__pyx_v_ismasked != 0);
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- __pyx_t_6 = ((!__pyx_t_5) != 0);
- __pyx_t_7 = __pyx_t_6;
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+ __pyx_t_14 = __Pyx_PyList_Append(__pyx_v_times, Py_None); if (unlikely(__pyx_t_14 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4953; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":4922
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- goto __pyx_L24;
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__Pyx_XDECREF_SET(__pyx_v_td, __pyx_t_1);
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- /* "netCDF4/_netCDF4.pyx":4927
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__Pyx_ExceptionReset(__pyx_t_8, __pyx_t_9, __pyx_t_10);
goto __pyx_L1_error;
- __pyx_L11_exception_handled:;
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__Pyx_XGIVEREF(__pyx_t_8);
__Pyx_XGIVEREF(__pyx_t_9);
__Pyx_XGIVEREF(__pyx_t_10);
__Pyx_ExceptionReset(__pyx_t_8, __pyx_t_9, __pyx_t_10);
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*/
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PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
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__Pyx_GIVEREF(__pyx_v_put_ind);
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__Pyx_XDECREF_SET(__pyx_v_n, __pyx_t_1);
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PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_4);
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__Pyx_XGOTREF(__pyx_t_21);
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+ __pyx_t_5 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_3)) break;
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__Pyx_GOTREF(__pyx_t_1);
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} else {
if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
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- __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5570; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5570; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_1 = PySequence_ITEM(__pyx_t_3, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyObject* exc_type = PyErr_Occurred();
if (exc_type) {
if (likely(exc_type == PyExc_StopIteration || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5570; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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break;
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if (unlikely(size != 2)) {
if (size > 2) __Pyx_RaiseTooManyValuesError(2);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5570; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -68283,15 +69148,15 @@ static PyObject *__pyx_pf_7netCDF4_8_netCDF4_6MFTime___init__(CYTHON_UNUSED PyOb
__Pyx_INCREF(__pyx_t_2);
__Pyx_INCREF(__pyx_t_6);
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+ __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
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+ __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __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_t_7 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_7);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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+ if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5616; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5570; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_XDECREF_SET(__pyx_v_value, __pyx_t_6);
__pyx_t_6 = 0;
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- /* "netCDF4/_netCDF4.pyx":5574
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_1 = __pyx_t_3; __Pyx_INCREF(__pyx_t_1); __pyx_t_4 = 0;
__pyx_t_5 = NULL;
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+ __pyx_t_4 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5620; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
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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 = 5620; __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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+ __pyx_t_3 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_4); __Pyx_INCREF(__pyx_t_3); __pyx_t_4++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5620; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (exc_type) {
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- else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5574; __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":5575
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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_10 = ((!(__pyx_t_9 != 0)) != 0);
if (__pyx_t_10) {
- /* "netCDF4/_netCDF4.pyx":5576
+ /* "netCDF4/_netCDF4.pyx":5622
* for t in self._recVar:
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+ __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__121, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
- {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5576; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- /* "netCDF4/_netCDF4.pyx":5575
+ /* "netCDF4/_netCDF4.pyx":5621
* # make sure calendar attribute present in all files.
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*/
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}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
- /* "netCDF4/_netCDF4.pyx":5579
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* # Check that calendar is the same in all files.
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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;}
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+ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_recVar); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5625; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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{&__pyx_n_s_Variable_typecode, __pyx_k_Variable_typecode, sizeof(__pyx_k_Variable_typecode), 0, 0, 1, 1},
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{&__pyx_kp_s_WARNING_unsupported_Compound_typ, __pyx_k_WARNING_unsupported_Compound_typ, sizeof(__pyx_k_WARNING_unsupported_Compound_typ), 0, 0, 1, 0},
{&__pyx_kp_s_WARNING_unsupported_Enum_type_sk, __pyx_k_WARNING_unsupported_Enum_type_sk, sizeof(__pyx_k_WARNING_unsupported_Enum_type_sk), 0, 0, 1, 0},
{&__pyx_kp_s_WARNING_unsupported_VLEN_type_sk, __pyx_k_WARNING_unsupported_VLEN_type_sk, sizeof(__pyx_k_WARNING_unsupported_VLEN_type_sk), 0, 0, 1, 0},
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{&__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__124, __pyx_k__124, sizeof(__pyx_k__124), 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},
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{&__pyx_kp_s_cannot_set__FillValue_attribute, __pyx_k_cannot_set__FillValue_attribute, sizeof(__pyx_k_cannot_set__FillValue_attribute), 0, 0, 1, 0},
{&__pyx_kp_s_cannot_specify_chunksizes_for_a, __pyx_k_cannot_specify_chunksizes_for_a, sizeof(__pyx_k_cannot_specify_chunksizes_for_a), 0, 0, 1, 0},
+ {&__pyx_kp_s_cannot_use_utc_offset_for_refere, __pyx_k_cannot_use_utc_offset_for_refere, sizeof(__pyx_k_cannot_use_utc_offset_for_refere), 0, 0, 1, 0},
{&__pyx_kp_s_cannot_using_file_globbing_for_r, __pyx_k_cannot_using_file_globbing_for_r, sizeof(__pyx_k_cannot_using_file_globbing_for_r), 0, 0, 1, 0},
{&__pyx_n_s_cdf, __pyx_k_cdf, sizeof(__pyx_k_cdf), 0, 0, 1, 1},
{&__pyx_n_s_cdfRecVar, __pyx_k_cdfRecVar, sizeof(__pyx_k_cdfRecVar), 0, 0, 1, 1},
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{&__pyx_n_s_izip, __pyx_k_izip, sizeof(__pyx_k_izip), 0, 0, 1, 1},
{&__pyx_n_s_join, __pyx_k_join, sizeof(__pyx_k_join), 0, 0, 1, 1},
+ {&__pyx_n_s_julian, __pyx_k_julian, sizeof(__pyx_k_julian), 0, 0, 1, 1},
{&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1},
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{&__pyx_n_s_key, __pyx_k_key, sizeof(__pyx_k_key), 0, 0, 1, 1},
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{&__pyx_n_s_mask, __pyx_k_mask, sizeof(__pyx_k_mask), 0, 0, 1, 1},
{&__pyx_n_s_masked_array, __pyx_k_masked_array, sizeof(__pyx_k_masked_array), 0, 0, 1, 1},
+ {&__pyx_kp_s_masked_arrays_cannot_be_assigned, __pyx_k_masked_arrays_cannot_be_assigned, sizeof(__pyx_k_masked_arrays_cannot_be_assigned), 0, 0, 1, 0},
{&__pyx_n_s_master, __pyx_k_master, sizeof(__pyx_k_master), 0, 0, 1, 1},
{&__pyx_n_s_masterDims, __pyx_k_masterDims, sizeof(__pyx_k_masterDims), 0, 0, 1, 1},
{&__pyx_n_s_masterRecVar, __pyx_k_masterRecVar, sizeof(__pyx_k_masterRecVar), 0, 0, 1, 1},
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{&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1},
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{&__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},
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+ __pyx_tuple__3 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1085; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__3);
__Pyx_GIVEREF(__pyx_tuple__3);
- /* "netCDF4/_netCDF4.pyx":1090
+ /* "netCDF4/_netCDF4.pyx":1091
* with nogil:
* ierr = nc_get_att_string(_grpid, varid, attname, &stratt)
* pstring = stratt.decode(default_encoding,unicode_error).replace('\x00','') # <<<<<<<<<<<<<<
* return pstring
* else:
*/
- __pyx_tuple__4 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1090; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__4 = PyTuple_Pack(2, __pyx_kp_s_, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1091; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__4);
__Pyx_GIVEREF(__pyx_tuple__4);
- /* "netCDF4/_netCDF4.pyx":1093
+ /* "netCDF4/_netCDF4.pyx":1094
* return pstring
* else:
* raise KeyError('vlen string array attributes not supported') # <<<<<<<<<<<<<<
* else:
* # a regular numeric or compound type.
*/
- __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_s_vlen_string_array_attributes_not); if (unlikely(!__pyx_tuple__5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1093; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__5 = PyTuple_Pack(1, __pyx_kp_s_vlen_string_array_attributes_not); if (unlikely(!__pyx_tuple__5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1094; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__5);
__Pyx_GIVEREF(__pyx_tuple__5);
- /* "netCDF4/_netCDF4.pyx":1193
+ /* "netCDF4/_netCDF4.pyx":1194
* # if 64-bit datatype not supported, cast to 32 bit integers.
* fmt = _get_format(grp._grpid)
* is_netcdf3 = fmt.startswith('NETCDF3') or fmt == 'NETCDF4_CLASSIC' # <<<<<<<<<<<<<<
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\
* is_netcdf3):
*/
- __pyx_tuple__6 = PyTuple_Pack(1, __pyx_n_s_NETCDF3); if (unlikely(!__pyx_tuple__6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1193; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__6 = PyTuple_Pack(1, __pyx_n_s_NETCDF3); if (unlikely(!__pyx_tuple__6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1194; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__6);
__Pyx_GIVEREF(__pyx_tuple__6);
- /* "netCDF4/_netCDF4.pyx":1194
+ /* "netCDF4/_netCDF4.pyx":1195
* fmt = _get_format(grp._grpid)
* is_netcdf3 = fmt.startswith('NETCDF3') or fmt == 'NETCDF4_CLASSIC'
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\ # <<<<<<<<<<<<<<
* is_netcdf3):
* value_arr = value_arr.astype('i4')
*/
- __pyx_slice__7 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1194; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__7 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1195; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__7);
__Pyx_GIVEREF(__pyx_slice__7);
- /* "netCDF4/_netCDF4.pyx":1196
+ /* "netCDF4/_netCDF4.pyx":1197
* if value_arr.dtype.str[1:] == 'i8' and ('i8' not in _supportedtypes or\
* is_netcdf3):
* value_arr = value_arr.astype('i4') # <<<<<<<<<<<<<<
* # if array contains ascii strings, write a text attribute (stored as bytes).
* # if array contains unicode strings, and data model is NETCDF4,
*/
- __pyx_tuple__8 = PyTuple_Pack(1, __pyx_n_s_i4); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1196; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__8 = PyTuple_Pack(1, __pyx_n_s_i4); if (unlikely(!__pyx_tuple__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1197; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__8);
__Pyx_GIVEREF(__pyx_tuple__8);
- /* "netCDF4/_netCDF4.pyx":1222
+ /* "netCDF4/_netCDF4.pyx":1223
* if value_arr.dtype.kind == 'V': # compound attribute.
* xtype = _find_cmptype(grp,value_arr.dtype)
* elif value_arr.dtype.str[1:] not in _supportedtypes: # <<<<<<<<<<<<<<
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:])
* elif xtype == -99: # if xtype is not passed in as kwarg.
*/
- __pyx_slice__9 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__9 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1223; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__9);
__Pyx_GIVEREF(__pyx_slice__9);
- /* "netCDF4/_netCDF4.pyx":1223
+ /* "netCDF4/_netCDF4.pyx":1224
* xtype = _find_cmptype(grp,value_arr.dtype)
* elif value_arr.dtype.str[1:] not in _supportedtypes:
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:]) # <<<<<<<<<<<<<<
* elif xtype == -99: # if xtype is not passed in as kwarg.
* xtype = _nptonctype[value_arr.dtype.str[1:]]
*/
- __pyx_slice__10 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1223; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__10 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1224; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__10);
__Pyx_GIVEREF(__pyx_slice__10);
- /* "netCDF4/_netCDF4.pyx":1225
+ /* "netCDF4/_netCDF4.pyx":1226
* raise TypeError, 'illegal data type for attribute, must be one of %s, got %s' % (_supportedtypes, value_arr.dtype.str[1:])
* elif xtype == -99: # if xtype is not passed in as kwarg.
* xtype = _nptonctype[value_arr.dtype.str[1:]] # <<<<<<<<<<<<<<
* lenarr = PyArray_SIZE(value_arr)
* ierr = nc_put_att(grp._grpid, varid, attname, xtype, lenarr, value_arr.data)
*/
- __pyx_slice__11 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1225; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__11 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1226; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__11);
__Pyx_GIVEREF(__pyx_slice__11);
- /* "netCDF4/_netCDF4.pyx":1786
+ /* "netCDF4/_netCDF4.pyx":1787
* # last name in path, could be a variable or group
* dirname, lastname = posixpath.split(elem)
* nestedgroups = dirname.split('/') # <<<<<<<<<<<<<<
* group = self
* # iterate over groups in path.
*/
- __pyx_tuple__15 = PyTuple_Pack(1, __pyx_kp_s__14); if (unlikely(!__pyx_tuple__15)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1786; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__15 = PyTuple_Pack(1, __pyx_kp_s__14); if (unlikely(!__pyx_tuple__15)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1787; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__15);
__Pyx_GIVEREF(__pyx_tuple__15);
- /* "netCDF4/_netCDF4.pyx":1831
+ /* "netCDF4/_netCDF4.pyx":1832
* [_tostr(self.variables[varname].dtype)+' \033[4m'+_tostr(varname)+'\033[0m'+
* (((_tostr(self.variables[varname].dimensions)
* .replace("u'",""))\ # <<<<<<<<<<<<<<
* .replace("'",""))\
* .replace(", ",","))\
*/
- __pyx_tuple__16 = PyTuple_Pack(2, __pyx_kp_s_u, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__16)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__16 = PyTuple_Pack(2, __pyx_kp_s_u, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__16)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__16);
__Pyx_GIVEREF(__pyx_tuple__16);
- /* "netCDF4/_netCDF4.pyx":1832
+ /* "netCDF4/_netCDF4.pyx":1833
* (((_tostr(self.variables[varname].dimensions)
* .replace("u'",""))\
* .replace("'",""))\ # <<<<<<<<<<<<<<
* .replace(", ",","))\
* .replace(",)",")") for varname in self.variables.keys()])
*/
- __pyx_tuple__18 = PyTuple_Pack(2, __pyx_kp_s__17, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__18)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__18 = PyTuple_Pack(2, __pyx_kp_s__17, __pyx_kp_s__2); if (unlikely(!__pyx_tuple__18)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__18);
__Pyx_GIVEREF(__pyx_tuple__18);
- /* "netCDF4/_netCDF4.pyx":1833
+ /* "netCDF4/_netCDF4.pyx":1834
* .replace("u'",""))\
* .replace("'",""))\
* .replace(", ",","))\ # <<<<<<<<<<<<<<
* .replace(",)",")") for varname in self.variables.keys()])
* grpnames = tuple([_tostr(grpname) for grpname in self.groups.keys()])
*/
- __pyx_tuple__21 = PyTuple_Pack(2, __pyx_kp_s__19, __pyx_kp_s__20); if (unlikely(!__pyx_tuple__21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__21 = PyTuple_Pack(2, __pyx_kp_s__19, __pyx_kp_s__20); if (unlikely(!__pyx_tuple__21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__21);
__Pyx_GIVEREF(__pyx_tuple__21);
- /* "netCDF4/_netCDF4.pyx":1834
+ /* "netCDF4/_netCDF4.pyx":1835
* .replace("'",""))\
* .replace(", ",","))\
* .replace(",)",")") for varname in self.variables.keys()]) # <<<<<<<<<<<<<<
* grpnames = tuple([_tostr(grpname) for grpname in self.groups.keys()])
* if self.path == '/':
*/
- __pyx_tuple__24 = PyTuple_Pack(2, __pyx_kp_s__22, __pyx_kp_s__23); if (unlikely(!__pyx_tuple__24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__24 = PyTuple_Pack(2, __pyx_kp_s__22, __pyx_kp_s__23); if (unlikely(!__pyx_tuple__24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__24);
__Pyx_GIVEREF(__pyx_tuple__24);
- /* "netCDF4/_netCDF4.pyx":2190
+ /* "netCDF4/_netCDF4.pyx":2191
* # if group specified as a path, split out group names
* groupname = posixpath.normpath(groupname)
* nestedgroups = groupname.split('/') # <<<<<<<<<<<<<<
* group = self
* # loop over group names, create parent groups if they do not already
*/
- __pyx_tuple__25 = PyTuple_Pack(1, __pyx_kp_s__14); if (unlikely(!__pyx_tuple__25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2190; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__25 = PyTuple_Pack(1, __pyx_kp_s__14); if (unlikely(!__pyx_tuple__25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2191; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__25);
__Pyx_GIVEREF(__pyx_tuple__25);
- /* "netCDF4/_netCDF4.pyx":2273
+ /* "netCDF4/_netCDF4.pyx":2274
* if name not in _private_atts:
* self.setncattr(name, value)
* elif not name.endswith('__'): # <<<<<<<<<<<<<<
* if hasattr(self,name):
* raise AttributeError(
*/
- __pyx_tuple__27 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__27)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2273; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__27 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__27)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2274; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__27);
__Pyx_GIVEREF(__pyx_tuple__27);
- /* "netCDF4/_netCDF4.pyx":2283
+ /* "netCDF4/_netCDF4.pyx":2284
* # if name in _private_atts, it is stored at the python
* # level and not in the netCDF file.
* if name.startswith('__') and name.endswith('__'): # <<<<<<<<<<<<<<
* # if __dict__ requested, return a dict with netCDF attributes.
* if name == '__dict__':
*/
- __pyx_tuple__28 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__28 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__28);
__Pyx_GIVEREF(__pyx_tuple__28);
- __pyx_tuple__29 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__29 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__29);
__Pyx_GIVEREF(__pyx_tuple__29);
- /* "netCDF4/_netCDF4.pyx":2533
+ /* "netCDF4/_netCDF4.pyx":2534
* overrides `netCDF4.Dataset` close method which does not apply to `netCDF4.Group`
* instances, raises IOError."""
* raise IOError('cannot close a `netCDF4.Group` (only applies to Dataset)') # <<<<<<<<<<<<<<
*
* def _getname(self):
*/
- __pyx_tuple__30 = PyTuple_Pack(1, __pyx_kp_s_cannot_close_a_netCDF4_Group_onl); if (unlikely(!__pyx_tuple__30)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2533; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__30 = PyTuple_Pack(1, __pyx_kp_s_cannot_close_a_netCDF4_Group_onl); if (unlikely(!__pyx_tuple__30)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2534; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__30);
__Pyx_GIVEREF(__pyx_tuple__30);
- /* "netCDF4/_netCDF4.pyx":2550
+ /* "netCDF4/_netCDF4.pyx":2551
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
*
*/
- __pyx_tuple__31 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__31)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2550; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__31 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__31)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__31);
__Pyx_GIVEREF(__pyx_tuple__31);
- /* "netCDF4/_netCDF4.pyx":2634
+ /* "netCDF4/_netCDF4.pyx":2635
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
* def __repr__(self):
*/
- __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__32)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2634; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__32 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__32)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__32);
__Pyx_GIVEREF(__pyx_tuple__32);
- /* "netCDF4/_netCDF4.pyx":2959
+ /* "netCDF4/_netCDF4.pyx":2960
* if datatype==str:
* if grp.data_model != 'NETCDF4':
* raise ValueError( # <<<<<<<<<<<<<<
* 'Variable length strings are only supported for the '
* 'NETCDF4 format. For other formats, consider using '
*/
- __pyx_tuple__35 = PyTuple_Pack(1, __pyx_kp_s_Variable_length_strings_are_only); if (unlikely(!__pyx_tuple__35)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2959; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__35 = PyTuple_Pack(1, __pyx_kp_s_Variable_length_strings_are_only); if (unlikely(!__pyx_tuple__35)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2960; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__35);
__Pyx_GIVEREF(__pyx_tuple__35);
- /* "netCDF4/_netCDF4.pyx":2969
+ /* "netCDF4/_netCDF4.pyx":2970
* # dtype variable attribute is a numpy datatype object.
* self.dtype = datatype.dtype
* elif datatype.str[1:] in _supportedtypes: # <<<<<<<<<<<<<<
* self._isprimitive = True
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*/
- __pyx_slice__36 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__36)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2969; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__36 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__36)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2970; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__36);
__Pyx_GIVEREF(__pyx_slice__36);
- /* "netCDF4/_netCDF4.pyx":2973
+ /* "netCDF4/_netCDF4.pyx":2974
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype = _nptonctype[datatype.str[1:]] # <<<<<<<<<<<<<<
* # dtype variable attribute is a numpy datatype object.
* self.dtype = datatype
*/
- __pyx_slice__37 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__37)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2973; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__37 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__37)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2974; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__37);
__Pyx_GIVEREF(__pyx_slice__37);
- /* "netCDF4/_netCDF4.pyx":3009
+ /* "netCDF4/_netCDF4.pyx":3010
* # of vars are created. This change only lasts as long as file is
* # open.
* if grp.data_model.startswith('NETCDF4') and chunk_cache is not None: # <<<<<<<<<<<<<<
* ierr = nc_get_var_chunk_cache(self._grpid, self._varid, &sizep,
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*/
- __pyx_tuple__38 = PyTuple_Pack(1, __pyx_n_s_NETCDF4); if (unlikely(!__pyx_tuple__38)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3009; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__38 = PyTuple_Pack(1, __pyx_n_s_NETCDF4); if (unlikely(!__pyx_tuple__38)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3010; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__38);
__Pyx_GIVEREF(__pyx_tuple__38);
- /* "netCDF4/_netCDF4.pyx":3051
+ /* "netCDF4/_netCDF4.pyx":3052
* icontiguous = NC_CONTIGUOUS
* if chunksizes is not None:
* raise ValueError('cannot specify chunksizes for a contiguous dataset') # <<<<<<<<<<<<<<
* else:
* icontiguous = NC_CHUNKED
*/
- __pyx_tuple__39 = PyTuple_Pack(1, __pyx_kp_s_cannot_specify_chunksizes_for_a); if (unlikely(!__pyx_tuple__39)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3051; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__39 = PyTuple_Pack(1, __pyx_kp_s_cannot_specify_chunksizes_for_a); if (unlikely(!__pyx_tuple__39)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3052; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__39);
__Pyx_GIVEREF(__pyx_tuple__39);
- /* "netCDF4/_netCDF4.pyx":3059
+ /* "netCDF4/_netCDF4.pyx":3060
* if len(chunksizes) != len(dimensions):
* if grp.data_model != 'NETCDF4': grp._enddef()
* raise ValueError('chunksizes must be a sequence with the same length as dimensions') # <<<<<<<<<<<<<<
* chunksizesp = <size_t *>malloc(sizeof(size_t) * ndims)
* for n from 0 <= n < ndims:
*/
- __pyx_tuple__40 = PyTuple_Pack(1, __pyx_kp_s_chunksizes_must_be_a_sequence_wi); if (unlikely(!__pyx_tuple__40)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3059; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__40 = PyTuple_Pack(1, __pyx_kp_s_chunksizes_must_be_a_sequence_wi); if (unlikely(!__pyx_tuple__40)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3060; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__40);
__Pyx_GIVEREF(__pyx_tuple__40);
- /* "netCDF4/_netCDF4.pyx":3107
+ /* "netCDF4/_netCDF4.pyx":3108
* fillval, xtype=xtype)
* else:
* raise AttributeError("cannot set _FillValue attribute for VLEN or compound variable") # <<<<<<<<<<<<<<
* if least_significant_digit is not None:
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*/
- __pyx_tuple__41 = PyTuple_Pack(1, __pyx_kp_s_cannot_set__FillValue_attribute); if (unlikely(!__pyx_tuple__41)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3107; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__41 = PyTuple_Pack(1, __pyx_kp_s_cannot_set__FillValue_attribute); if (unlikely(!__pyx_tuple__41)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3108; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__41);
__Pyx_GIVEREF(__pyx_tuple__41);
- /* "netCDF4/_netCDF4.pyx":3187
+ /* "netCDF4/_netCDF4.pyx":3188
* msg = 'filling on'
* except AttributeError:
* fillval = default_fillvals[self.dtype.str[1:]] # <<<<<<<<<<<<<<
* if self.dtype.str[1:] in ['u1','i1']:
* msg = 'filling on, default _FillValue of %s ignored\n' % fillval
*/
- __pyx_slice__42 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__42)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3187; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__42 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__42)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3188; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__42);
__Pyx_GIVEREF(__pyx_slice__42);
- /* "netCDF4/_netCDF4.pyx":3188
+ /* "netCDF4/_netCDF4.pyx":3189
* except AttributeError:
* fillval = default_fillvals[self.dtype.str[1:]]
* if self.dtype.str[1:] in ['u1','i1']: # <<<<<<<<<<<<<<
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*/
- __pyx_slice__43 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__43)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3188; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__43 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__43)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__43);
__Pyx_GIVEREF(__pyx_slice__43);
- /* "netCDF4/_netCDF4.pyx":3241
+ /* "netCDF4/_netCDF4.pyx":3242
* return self._getname()
* def __set__(self,value):
* raise AttributeError("name cannot be altered") # <<<<<<<<<<<<<<
*
* property datatype:
*/
- __pyx_tuple__44 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__44)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3241; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__44 = PyTuple_Pack(1, __pyx_kp_s_name_cannot_be_altered); if (unlikely(!__pyx_tuple__44)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3242; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__44);
__Pyx_GIVEREF(__pyx_tuple__44);
- /* "netCDF4/_netCDF4.pyx":3267
+ /* "netCDF4/_netCDF4.pyx":3268
* return shape
* def __set__(self,value):
* raise AttributeError("shape cannot be altered") # <<<<<<<<<<<<<<
*
* property size:
*/
- __pyx_tuple__45 = PyTuple_Pack(1, __pyx_kp_s_shape_cannot_be_altered); if (unlikely(!__pyx_tuple__45)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3267; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__45 = PyTuple_Pack(1, __pyx_kp_s_shape_cannot_be_altered); if (unlikely(!__pyx_tuple__45)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3268; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__45);
__Pyx_GIVEREF(__pyx_tuple__45);
- /* "netCDF4/_netCDF4.pyx":3279
+ /* "netCDF4/_netCDF4.pyx":3280
* return self._getdims()
* def __set__(self,value):
* raise AttributeError("dimensions cannot be altered") # <<<<<<<<<<<<<<
*
*
*/
- __pyx_tuple__46 = PyTuple_Pack(1, __pyx_kp_s_dimensions_cannot_be_altered); if (unlikely(!__pyx_tuple__46)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__46 = PyTuple_Pack(1, __pyx_kp_s_dimensions_cannot_be_altered); if (unlikely(!__pyx_tuple__46)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3280; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__46);
__Pyx_GIVEREF(__pyx_tuple__46);
- /* "netCDF4/_netCDF4.pyx":3489
+ /* "netCDF4/_netCDF4.pyx":3490
* value = numpy.array(value, self.dtype)
* self.setncattr(name, value)
* elif not name.endswith('__'): # <<<<<<<<<<<<<<
* if hasattr(self,name):
* raise AttributeError(
*/
- __pyx_tuple__47 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__47)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__47 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__47)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3490; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__47);
__Pyx_GIVEREF(__pyx_tuple__47);
- /* "netCDF4/_netCDF4.pyx":3499
+ /* "netCDF4/_netCDF4.pyx":3500
* # if name in _private_atts, it is stored at the python
* # level and not in the netCDF file.
* if name.startswith('__') and name.endswith('__'): # <<<<<<<<<<<<<<
* # if __dict__ requested, return a dict with netCDF attributes.
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*/
- __pyx_tuple__48 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3499; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__48 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3500; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__48);
__Pyx_GIVEREF(__pyx_tuple__48);
- __pyx_tuple__49 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__49)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3499; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__49 = PyTuple_Pack(1, __pyx_n_s__26); if (unlikely(!__pyx_tuple__49)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3500; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__49);
__Pyx_GIVEREF(__pyx_tuple__49);
- /* "netCDF4/_netCDF4.pyx":3547
+ /* "netCDF4/_netCDF4.pyx":3548
* # The convention used is that for those cases,
* # put_ind for this dimension is set to -1 by _StartCountStride.
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* for i,n in enumerate(put_ind.shape[:-1]):
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*/
- __pyx_slice__50 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3547; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__50 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3548; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__50);
__Pyx_GIVEREF(__pyx_slice__50);
- /* "netCDF4/_netCDF4.pyx":3548
+ /* "netCDF4/_netCDF4.pyx":3549
* # 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:
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*/
- __pyx_slice__51 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__51)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3548; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__51 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__51)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3549; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__51);
__Pyx_GIVEREF(__pyx_slice__51);
- /* "netCDF4/_netCDF4.pyx":3617
+ /* "netCDF4/_netCDF4.pyx":3622
* if (self.endian() == 'big' and is_native_little) or\
* (self.endian() == 'little' and is_native_big):
* mval.byteswap(True) # <<<<<<<<<<<<<<
* if mval.shape == (): # mval a scalar.
* hasmval = data==mval
*/
- __pyx_tuple__52 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3617; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__52 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3622; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__52);
__Pyx_GIVEREF(__pyx_tuple__52);
- /* "netCDF4/_netCDF4.pyx":3645
+ /* "netCDF4/_netCDF4.pyx":3650
* if (self.endian() == 'big' and is_native_little) or\
* (self.endian() == 'little' and is_native_big):
* fval.byteswap(True) # <<<<<<<<<<<<<<
* # is _FillValue a NaN?
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*/
- __pyx_tuple__53 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__53)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3645; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__53 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__53)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__53);
__Pyx_GIVEREF(__pyx_tuple__53);
- /* "netCDF4/_netCDF4.pyx":3680
+ /* "netCDF4/_netCDF4.pyx":3685
* # small to assume one of the values should appear as a missing
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* if no_fill != 1 and self.dtype.str[1:] not in ['u1','i1']: # <<<<<<<<<<<<<<
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*/
- __pyx_slice__54 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3680; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__54 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3685; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__54);
__Pyx_GIVEREF(__pyx_slice__54);
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+ /* "netCDF4/_netCDF4.pyx":3686
* # value unless a _FillValue attribute is set explicitly."
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*/
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+ __pyx_slice__55 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__55)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__55);
__Pyx_GIVEREF(__pyx_slice__55);
- /* "netCDF4/_netCDF4.pyx":3686
+ /* "netCDF4/_netCDF4.pyx":3691
* if (self.endian() == 'big' and is_native_little) or\
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* fillval.byteswap(True) # <<<<<<<<<<<<<<
* has_fillval = data == fillval
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*/
- __pyx_tuple__56 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3686; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__56 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3691; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__56);
__Pyx_GIVEREF(__pyx_tuple__56);
- /* "netCDF4/_netCDF4.pyx":3712
+ /* "netCDF4/_netCDF4.pyx":3717
* cdef ndarray data2
* if not self._isvlen:
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* ndims = self.ndim
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- __pyx_tuple__57 = PyTuple_Pack(1, __pyx_kp_s_assign_vlen_method_only_for_use); if (unlikely(!__pyx_tuple__57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3712; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__57 = PyTuple_Pack(1, __pyx_kp_s_assign_vlen_method_only_for_use); if (unlikely(!__pyx_tuple__57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3717; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__57);
__Pyx_GIVEREF(__pyx_tuple__57);
- /* "netCDF4/_netCDF4.pyx":3724
+ /* "netCDF4/_netCDF4.pyx":3729
* elem = self.shape[0]+elem
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*/
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+ __pyx_tuple__58 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3729; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__58);
__Pyx_GIVEREF(__pyx_tuple__58);
- /* "netCDF4/_netCDF4.pyx":3727
+ /* "netCDF4/_netCDF4.pyx":3732
* elif isinstance(elem, tuple):
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+ __pyx_tuple__59 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__59)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3732; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__59);
__Pyx_GIVEREF(__pyx_tuple__59);
- /* "netCDF4/_netCDF4.pyx":3735
+ /* "netCDF4/_netCDF4.pyx":3740
* enew = self.shape[n]+e
* if enew < 0:
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+ __pyx_tuple__60 = PyTuple_Pack(1, __pyx_kp_s_Illegal_index); if (unlikely(!__pyx_tuple__60)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3740; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__60);
__Pyx_GIVEREF(__pyx_tuple__60);
- /* "netCDF4/_netCDF4.pyx":3892
+ /* "netCDF4/_netCDF4.pyx":3907
* fillval = self._FillValue
* else:
* fillval = default_fillvals[self.dtype.str[1:]] # <<<<<<<<<<<<<<
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*/
- __pyx_slice__61 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__61)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3892; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__61 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__61)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3907; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__61);
__Pyx_GIVEREF(__pyx_slice__61);
- /* "netCDF4/_netCDF4.pyx":3910
+ /* "netCDF4/_netCDF4.pyx":3925
* def __len__(self):
* if not self.shape:
* raise TypeError('len() of unsized object') # <<<<<<<<<<<<<<
* else:
* return self.shape[0]
*/
- __pyx_tuple__62 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3910; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__62 = PyTuple_Pack(1, __pyx_kp_s_len_of_unsized_object); if (unlikely(!__pyx_tuple__62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3925; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__62);
__Pyx_GIVEREF(__pyx_tuple__62);
- /* "netCDF4/_netCDF4.pyx":3922
+ /* "netCDF4/_netCDF4.pyx":3937
* Scientific.IO.NetCDF, can also be done by assigning to an Ellipsis slice ([...])."""
* if len(self.dimensions):
* raise IndexError('to assign values to a non-scalar variable, use a slice') # <<<<<<<<<<<<<<
* self[:]=val
*
*/
- __pyx_tuple__63 = PyTuple_Pack(1, __pyx_kp_s_to_assign_values_to_a_non_scalar); if (unlikely(!__pyx_tuple__63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3922; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__63 = PyTuple_Pack(1, __pyx_kp_s_to_assign_values_to_a_non_scalar); if (unlikely(!__pyx_tuple__63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3937; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__63);
__Pyx_GIVEREF(__pyx_tuple__63);
- /* "netCDF4/_netCDF4.pyx":3923
+ /* "netCDF4/_netCDF4.pyx":3938
* if len(self.dimensions):
* raise IndexError('to assign values to a non-scalar variable, use a slice')
* self[:]=val # <<<<<<<<<<<<<<
*
* def getValue(self):
*/
- __pyx_slice__64 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3923; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__64 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3938; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__64);
__Pyx_GIVEREF(__pyx_slice__64);
- /* "netCDF4/_netCDF4.pyx":3932
+ /* "netCDF4/_netCDF4.pyx":3947
* Scientific.IO.NetCDF, can also be done by slicing with an Ellipsis ([...])."""
* if len(self.dimensions):
* raise IndexError('to retrieve values from a non-scalar variable, use slicing') # <<<<<<<<<<<<<<
* return self[slice(None)]
*
*/
- __pyx_tuple__65 = PyTuple_Pack(1, __pyx_kp_s_to_retrieve_values_from_a_non_sc); if (unlikely(!__pyx_tuple__65)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3932; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__65 = PyTuple_Pack(1, __pyx_kp_s_to_retrieve_values_from_a_non_sc); if (unlikely(!__pyx_tuple__65)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3947; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__65);
__Pyx_GIVEREF(__pyx_tuple__65);
- /* "netCDF4/_netCDF4.pyx":3933
+ /* "netCDF4/_netCDF4.pyx":3948
* if len(self.dimensions):
* raise IndexError('to retrieve values from a non-scalar variable, use slicing')
* return self[slice(None)] # <<<<<<<<<<<<<<
*
* def set_auto_maskandscale(self,maskandscale):
*/
- __pyx_slice__66 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__66)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3933; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__66 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__66)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3948; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__66);
__Pyx_GIVEREF(__pyx_slice__66);
- /* "netCDF4/_netCDF4.pyx":4069
+ /* "netCDF4/_netCDF4.pyx":4084
* startp[n] = start[n]+stride[n]*(count[n]-1)
* stride[n] = -stride[n]
* sl.append(slice(None, None, -1)) # this slice will reverse the data # <<<<<<<<<<<<<<
* else:
* startp[n] = start[n]
*/
- __pyx_slice__67 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__67)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4069; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__67 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__67)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4084; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__67);
__Pyx_GIVEREF(__pyx_slice__67);
- /* "netCDF4/_netCDF4.pyx":4073
+ /* "netCDF4/_netCDF4.pyx":4088
* startp[n] = start[n]
* stridep[n] = stride[n]
* sl.append(slice(None,None, 1)) # <<<<<<<<<<<<<<
* totelem = totelem*countp[n]
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*/
- __pyx_slice__68 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__68)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4073; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__68 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__68)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4088; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__68);
__Pyx_GIVEREF(__pyx_slice__68);
- /* "netCDF4/_netCDF4.pyx":4079
+ /* "netCDF4/_netCDF4.pyx":4094
* dataelem = PyArray_SIZE(data)
* if totelem != dataelem:
* raise IndexError('size of data array does not conform to slice') # <<<<<<<<<<<<<<
* if negstride:
* # reverse data along axes with negative strides.
*/
- __pyx_tuple__69 = PyTuple_Pack(1, __pyx_kp_s_size_of_data_array_does_not_conf); if (unlikely(!__pyx_tuple__69)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4079; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__69 = PyTuple_Pack(1, __pyx_kp_s_size_of_data_array_does_not_conf); if (unlikely(!__pyx_tuple__69)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4094; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__69);
__Pyx_GIVEREF(__pyx_tuple__69);
- /* "netCDF4/_netCDF4.pyx":4093
+ /* "netCDF4/_netCDF4.pyx":4108
* if self.endian() == 'native':
* if is_native_little and data.dtype.byteorder == '>':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_big and data.dtype.byteorder == '<':
* data.byteswap(True)
*/
- __pyx_tuple__70 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__70)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4093; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__70 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__70)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4108; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__70);
__Pyx_GIVEREF(__pyx_tuple__70);
- /* "netCDF4/_netCDF4.pyx":4095
+ /* "netCDF4/_netCDF4.pyx":4110
* data.byteswap(True)
* if is_native_big and data.dtype.byteorder == '<':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if self.endian() == 'big':
* if is_native_big and data.dtype.byteorder not in ['=','|']:
*/
- __pyx_tuple__71 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__71)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4095; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__71 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__71)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4110; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__71);
__Pyx_GIVEREF(__pyx_tuple__71);
- /* "netCDF4/_netCDF4.pyx":4098
+ /* "netCDF4/_netCDF4.pyx":4113
* if self.endian() == 'big':
* if is_native_big and data.dtype.byteorder not in ['=','|']:
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_little and data.dtype.byteorder == '=':
* data.byteswap(True)
*/
- __pyx_tuple__72 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__72)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4098; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__72 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__72)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__72);
__Pyx_GIVEREF(__pyx_tuple__72);
- /* "netCDF4/_netCDF4.pyx":4100
+ /* "netCDF4/_netCDF4.pyx":4115
* data.byteswap(True)
* if is_native_little and data.dtype.byteorder == '=':
* data.byteswap(True) # <<<<<<<<<<<<<<
* if self.endian() == 'little':
* if is_native_little and data.dtype.byteorder not in ['=','|']:
*/
- __pyx_tuple__73 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__73)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4100; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__73 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__73)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4115; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__73);
__Pyx_GIVEREF(__pyx_tuple__73);
- /* "netCDF4/_netCDF4.pyx":4103
+ /* "netCDF4/_netCDF4.pyx":4118
* if self.endian() == 'little':
* if is_native_little and data.dtype.byteorder not in ['=','|']:
* data.byteswap(True) # <<<<<<<<<<<<<<
* if is_native_big and data.dtype.byteorder == '=':
* data.byteswap(True)
*/
- __pyx_tuple__74 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__74 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4118; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__74);
__Pyx_GIVEREF(__pyx_tuple__74);
- /* "netCDF4/_netCDF4.pyx":4105
+ /* "netCDF4/_netCDF4.pyx":4120
* data.byteswap(True)
* if is_native_big and data.dtype.byteorder == '=':
* data.byteswap(True) # <<<<<<<<<<<<<<
* # strides all 1 or scalar variable, use put_vara (faster)
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*/
- __pyx_tuple__75 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__75)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4105; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__75 = PyTuple_Pack(1, Py_True); if (unlikely(!__pyx_tuple__75)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4120; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__75);
__Pyx_GIVEREF(__pyx_tuple__75);
- /* "netCDF4/_netCDF4.pyx":4117
+ /* "netCDF4/_netCDF4.pyx":4132
* elif self._isvlen:
* if data.dtype.char !='O':
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*/
- __pyx_tuple__76 = PyTuple_Pack(1, __pyx_kp_s_data_to_put_in_string_variable_m); if (unlikely(!__pyx_tuple__76)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4117; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__76 = PyTuple_Pack(1, __pyx_kp_s_data_to_put_in_string_variable_m); if (unlikely(!__pyx_tuple__76)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4132; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__76);
__Pyx_GIVEREF(__pyx_tuple__76);
- /* "netCDF4/_netCDF4.pyx":4136
+ /* "netCDF4/_netCDF4.pyx":4151
* startp, countp, strdata)
* else:
* raise IndexError('strides must all be 1 for string variables') # <<<<<<<<<<<<<<
* #ierr = nc_put_vars(self._grpid, self._varid,
* # startp, countp, stridep, strdata)
*/
- __pyx_tuple__77 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__77)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4136; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__77 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_string); if (unlikely(!__pyx_tuple__77)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__77);
__Pyx_GIVEREF(__pyx_tuple__77);
- /* "netCDF4/_netCDF4.pyx":4152
+ /* "netCDF4/_netCDF4.pyx":4167
* elptr = (<void**>databuff)[0]
* dataarr = <ndarray>elptr
* if self.dtype != dataarr.dtype.str[1:]: # <<<<<<<<<<<<<<
* #dataarr = dataarr.astype(self.dtype) # cast data, if necessary.
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*/
- __pyx_slice__78 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__78)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4152; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__78 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__78)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4167; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__78);
__Pyx_GIVEREF(__pyx_slice__78);
- /* "netCDF4/_netCDF4.pyx":4164
+ /* "netCDF4/_netCDF4.pyx":4179
* startp, countp, vldata)
* else:
* raise IndexError('strides must all be 1 for vlen variables') # <<<<<<<<<<<<<<
* #ierr = nc_put_vars(self._grpid, self._varid,
* # startp, countp, stridep, vldata)
*/
- __pyx_tuple__79 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__79)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4164; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__79 = PyTuple_Pack(1, __pyx_kp_s_strides_must_all_be_1_for_vlen_v); if (unlikely(!__pyx_tuple__79)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4179; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__79);
__Pyx_GIVEREF(__pyx_tuple__79);
- /* "netCDF4/_netCDF4.pyx":4189
+ /* "netCDF4/_netCDF4.pyx":4204
* for lendim in count:
* if lendim == -1:
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* squeeze_out = True
* else:
*/
- __pyx_tuple__80 = PyTuple_Pack(1, __pyx_int_1); if (unlikely(!__pyx_tuple__80)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__80 = PyTuple_Pack(1, __pyx_int_1); if (unlikely(!__pyx_tuple__80)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__80);
__Pyx_GIVEREF(__pyx_tuple__80);
- /* "netCDF4/_netCDF4.pyx":4207
+ /* "netCDF4/_netCDF4.pyx":4222
* startp[n] = start[n]+stride[n]*(count[n]-1)
* stride[n] = -stride[n]
* sl.append(slice(None, None, -1)) # this slice will reverse the data # <<<<<<<<<<<<<<
* else:
* startp[n] = start[n]
*/
- __pyx_slice__81 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__81)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4207; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__81 = PySlice_New(Py_None, Py_None, __pyx_int_neg_1); if (unlikely(!__pyx_slice__81)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4222; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__81);
__Pyx_GIVEREF(__pyx_slice__81);
- /* "netCDF4/_netCDF4.pyx":4211
+ /* "netCDF4/_netCDF4.pyx":4226
* startp[n] = start[n]
* stridep[n] = stride[n]
* sl.append(slice(None,None, 1)) # <<<<<<<<<<<<<<
* if self._isprimitive or self._iscompound or self._isenum:
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*/
- __pyx_slice__82 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__82)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__82 = PySlice_New(Py_None, Py_None, __pyx_int_1); if (unlikely(!__pyx_slice__82)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4226; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__82);
__Pyx_GIVEREF(__pyx_slice__82);
- /* "netCDF4/_netCDF4.pyx":4244
+ /* "netCDF4/_netCDF4.pyx":4259
* else:
* # FIXME: is this a bug in netCDF4?
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* #ierr = nc_get_vars(self._grpid, self._varid,
* # startp, countp, stridep, strdata)
*/
- __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 = 4244; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4268
+ /* "netCDF4/_netCDF4.pyx":4283
* startp, countp, vldata)
* else:
* raise IndexError('strides must all be 1 for vlen variables') # <<<<<<<<<<<<<<
* #ierr = nc_get_vars(self._grpid, self._varid,
* # startp, countp, stridep, vldata)
*/
- __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 = 4268; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4387
+ /* "netCDF4/_netCDF4.pyx":4402
* if format.kind != 'V': # scalar primitive type
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* xtype_tmp = _nptonctype[format.str[1:]] # <<<<<<<<<<<<<<
* except KeyError:
* raise ValueError('Unsupported compound type element')
*/
- __pyx_slice__85 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__85)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4387; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4389
+ /* "netCDF4/_netCDF4.pyx":4404
* xtype_tmp = _nptonctype[format.str[1:]]
* except KeyError:
* raise ValueError('Unsupported compound type element') # <<<<<<<<<<<<<<
* ierr = nc_insert_compound(grp._grpid, xtype, namstring,
* offset, xtype_tmp)
*/
- __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 = 4389; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4411
+ /* "netCDF4/_netCDF4.pyx":4426
* if format.subdtype[0].str[1] != 'V': # primitive type.
* try:
* xtype_tmp = _nptonctype[format.subdtype[0].str[1:]] # <<<<<<<<<<<<<<
* except KeyError:
* raise ValueError('Unsupported compound type element')
*/
- __pyx_slice__87 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__87)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4411; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4413
+ /* "netCDF4/_netCDF4.pyx":4428
* xtype_tmp = _nptonctype[format.subdtype[0].str[1:]]
* except KeyError:
* raise ValueError('Unsupported compound type element') # <<<<<<<<<<<<<<
* ierr = nc_insert_array_compound(grp._grpid,xtype,namstring,
* offset,xtype_tmp,ndims,dim_sizes)
*/
- __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 = 4413; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4450
+ /* "netCDF4/_netCDF4.pyx":4465
* parent_grp = grp.parent
* except AttributeError:
* 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")
*/
- __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 = 4450; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4452
+ /* "netCDF4/_netCDF4.pyx":4467
* 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") # <<<<<<<<<<<<<<
* else:
* xtype = _find_cmptype(parent_grp,dtype)
*/
- __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 = 4452; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
- /* "netCDF4/_netCDF4.pyx":4513
+ /* "netCDF4/_netCDF4.pyx":4528
* field_type = _read_compound(group, field_typeid, endian=endian)
* else:
* raise KeyError('compound field of an unsupported data type') # <<<<<<<<<<<<<<
* if field_shape != ():
* formats.append((field_type,field_shape))
*/
- __pyx_tuple__91 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__91)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4513; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__91 = PyTuple_Pack(1, __pyx_kp_s_compound_field_of_an_unsupported); if (unlikely(!__pyx_tuple__91)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__91);
__Pyx_GIVEREF(__pyx_tuple__91);
- /* "netCDF4/_netCDF4.pyx":4603
+ /* "netCDF4/_netCDF4.pyx":4618
* namstring = bytestr
* dt = numpy.dtype(dt) # convert to numpy datatype.
* if dt.str[1:] in _supportedtypes: # <<<<<<<<<<<<<<
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
*/
- __pyx_slice__92 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__92)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4603; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__92 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__92)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4618; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__92);
__Pyx_GIVEREF(__pyx_slice__92);
- /* "netCDF4/_netCDF4.pyx":4606
+ /* "netCDF4/_netCDF4.pyx":4621
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype_tmp = _nptonctype[dt.str[1:]] # <<<<<<<<<<<<<<
* ierr = nc_def_vlen(grp._grpid, namstring, xtype_tmp, &xtype);
* if ierr != NC_NOERR:
*/
- __pyx_slice__93 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__93)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4606; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__93 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__93)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4621; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__93);
__Pyx_GIVEREF(__pyx_slice__93);
- /* "netCDF4/_netCDF4.pyx":4611
+ /* "netCDF4/_netCDF4.pyx":4626
* raise RuntimeError((<char *>nc_strerror(ierr)).decode('ascii'))
* else:
* raise KeyError("unsupported datatype specified for VLEN") # <<<<<<<<<<<<<<
* return xtype, dt
*
*/
- __pyx_tuple__94 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__94)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4611; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__94 = PyTuple_Pack(1, __pyx_kp_s_unsupported_datatype_specified_f); if (unlikely(!__pyx_tuple__94)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4626; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__94);
__Pyx_GIVEREF(__pyx_tuple__94);
- /* "netCDF4/_netCDF4.pyx":4638
+ /* "netCDF4/_netCDF4.pyx":4653
* dt = numpy.dtype(datatype) # see if it is a primitive type
* except KeyError:
* raise KeyError("unsupported component type for VLEN") # <<<<<<<<<<<<<<
* return VLType(group, dt, name, typeid=xtype)
*
*/
- __pyx_tuple__95 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__95)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4638; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__95 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__95)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__95);
__Pyx_GIVEREF(__pyx_tuple__95);
- /* "netCDF4/_netCDF4.pyx":4712
+ /* "netCDF4/_netCDF4.pyx":4727
* namstring = bytestr
* dt = numpy.dtype(dt) # convert to numpy datatype.
* if dt.str[1:] in _intnptonctype.keys(): # <<<<<<<<<<<<<<
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
*/
- __pyx_slice__96 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__96)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4712; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__96 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__96)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4727; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__96);
__Pyx_GIVEREF(__pyx_slice__96);
- /* "netCDF4/_netCDF4.pyx":4715
+ /* "netCDF4/_netCDF4.pyx":4730
* # find netCDF primitive data type corresponding to
* # specified numpy data type.
* xtype_tmp = _intnptonctype[dt.str[1:]] # <<<<<<<<<<<<<<
* ierr = nc_def_enum(grp._grpid, xtype_tmp, namstring, &xtype);
* if ierr != NC_NOERR:
*/
- __pyx_slice__97 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__97)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4715; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_slice__97 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__97)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4730; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_slice__97);
__Pyx_GIVEREF(__pyx_slice__97);
- /* "netCDF4/_netCDF4.pyx":4756
+ /* "netCDF4/_netCDF4.pyx":4771
* dt = numpy.dtype(datatype) # see if it is a primitive type
* except KeyError:
* raise KeyError("unsupported component type for VLEN") # <<<<<<<<<<<<<<
* # loop over members, build dict.
* enum_dict = {}
*/
- __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 = 4756; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__98 = PyTuple_Pack(1, __pyx_kp_s_unsupported_component_type_for_V); if (unlikely(!__pyx_tuple__98)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4771; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__98);
__Pyx_GIVEREF(__pyx_tuple__98);
- /* "netCDF4/_netCDF4.pyx":4797
+ /* "netCDF4/_netCDF4.pyx":4812
* units = timestr_split[0].lower()
* if timestr_split[1].lower() != 'since':
* raise ValueError("no 'since' in unit_string") # <<<<<<<<<<<<<<
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* n = timestr.find('since')+6
*/
- __pyx_tuple__99 = PyTuple_Pack(1, __pyx_kp_s_no_since_in_unit_string); if (unlikely(!__pyx_tuple__99)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4797; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__99 = PyTuple_Pack(1, __pyx_kp_s_no_since_in_unit_string); if (unlikely(!__pyx_tuple__99)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4812; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__99);
__Pyx_GIVEREF(__pyx_tuple__99);
- /* "netCDF4/_netCDF4.pyx":4799
+ /* "netCDF4/_netCDF4.pyx":4814
* raise ValueError("no 'since' in unit_string")
* # parse the date string.
* n = timestr.find('since')+6 # <<<<<<<<<<<<<<
* isostring = timestr[n:]
* year, month, day, hour, minute, second, utc_offset =\
*/
- __pyx_tuple__100 = PyTuple_Pack(1, __pyx_n_s_since); if (unlikely(!__pyx_tuple__100)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_tuple__100 = PyTuple_Pack(1, __pyx_n_s_since); if (unlikely(!__pyx_tuple__100)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_tuple__100);
__Pyx_GIVEREF(__pyx_tuple__100);
/* "netCDF4/_netCDF4.pyx":4826
+ * basedate = netcdftime.datetime(year, month, day, hour, minute, second)
+ * else:
+ * raise ValueError('cannot use utc_offset for reference years <= 0') # <<<<<<<<<<<<<<
+ * return basedate
+ *
+ */
+ __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);
+
+ /* "netCDF4/_netCDF4.pyx":4847
* (default) or `'U1'` (if dtype=`'U'`)"""
* if dtype not in ["S","U"]:
* raise ValueError("dtype must string or unicode ('S' or 'U')") # <<<<<<<<<<<<<<
* arr = numpy.zeros(NUMCHARS,dtype+'1')
* arr[0:len(string)] = tuple(string)
*/
- __pyx_tuple__101 = PyTuple_Pack(1, __pyx_kp_s_dtype_must_string_or_unicode_S_o); 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__102 = PyTuple_Pack(1, __pyx_kp_s_dtype_must_string_or_unicode_S_o); if (unlikely(!__pyx_tuple__102)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4847; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__102);
+ __Pyx_GIVEREF(__pyx_tuple__102);
- /* "netCDF4/_netCDF4.pyx":4845
+ /* "netCDF4/_netCDF4.pyx":4866
* dtype = a.dtype.kind
* if dtype not in ["S","U"]:
* raise ValueError("type must string or unicode ('S' or 'U')") # <<<<<<<<<<<<<<
* b = numpy.array(tuple(a.tostring().decode(default_encoding)),dtype+'1')
* b.shape = a.shape + (a.itemsize,)
*/
- __pyx_tuple__102 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__102)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4845; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__102);
- __Pyx_GIVEREF(__pyx_tuple__102);
+ __pyx_tuple__103 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__103)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4866; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_tuple__103);
+ __Pyx_GIVEREF(__pyx_tuple__103);
- /* "netCDF4/_netCDF4.pyx":4864
+ /* "netCDF4/_netCDF4.pyx":4885
* 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__103 = PyTuple_Pack(1, __pyx_kp_s_type_must_string_or_unicode_S_or); if (unlikely(!__pyx_tuple__103)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4864; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__103);
- __Pyx_GIVEREF(__pyx_tuple__103);
+ __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);
- /* "netCDF4/_netCDF4.pyx":4868
+ /* "netCDF4/_netCDF4.pyx":4889
* slen = int(b.shape[-1])
* a = numpy.array([bs[n1:n1+slen] for n1 in range(0,len(bs),slen)],dtype+repr(slen))
* a.shape = b.shape[:-1] # <<<<<<<<<<<<<<
* return a
*
*/
- __pyx_slice__104 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__104)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4868; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__104);
- __Pyx_GIVEREF(__pyx_slice__104);
+ __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);
- /* "netCDF4/_netCDF4.pyx":4941
+ /* "netCDF4/_netCDF4.pyx":4971
* times.append(totaltime/1.e6/3600./24.)
* else:
* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
* if isscalar:
* return times[0]
*/
- __pyx_tuple__105 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__105)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4941; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__105);
- __Pyx_GIVEREF(__pyx_tuple__105);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5027
+ /* "netCDF4/_netCDF4.pyx":5065
* tsecs = time*86400.
* else:
* raise ValueError('unsupported time units') # <<<<<<<<<<<<<<
* # compute time delta.
* days = tsecs // 86400.
*/
- __pyx_tuple__106 = PyTuple_Pack(1, __pyx_kp_s_unsupported_time_units); if (unlikely(!__pyx_tuple__106)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5027; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__106);
- __Pyx_GIVEREF(__pyx_tuple__106);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5079
+ /* "netCDF4/_netCDF4.pyx":5117
* nctime.units
* except AttributeError:
* raise AttributeError("netcdf time variable is missing a 'units' attribute") # <<<<<<<<<<<<<<
* if calendar == None:
* calendar = getattr(nctime, 'calendar', 'standard')
*/
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- __Pyx_GOTREF(__pyx_tuple__107);
- __Pyx_GIVEREF(__pyx_tuple__107);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5157
+ /* "netCDF4/_netCDF4.pyx":5203
* # 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__108 = PyTuple_Pack(1, __pyx_n_s_http); if (unlikely(!__pyx_tuple__108)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5157; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__108);
- __Pyx_GIVEREF(__pyx_tuple__108);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5219
+ /* "netCDF4/_netCDF4.pyx":5265
* # 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
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- __Pyx_GOTREF(__pyx_slice__109);
- __Pyx_GIVEREF(__pyx_slice__109);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5230
+ /* "netCDF4/_netCDF4.pyx":5276
* #if not vInst.dimensions[0] != aggDimName:
*
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- __pyx_slice__110 = PySlice_New(Py_None, __pyx_int_3, Py_None); if (unlikely(!__pyx_slice__110)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5230; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__110);
- __Pyx_GIVEREF(__pyx_slice__110);
+ __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);
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- /* "netCDF4/_netCDF4.pyx":5247
+ /* "netCDF4/_netCDF4.pyx":5293
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- __pyx_slice__111 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__111)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- __pyx_slice__112 = PySlice_New(__pyx_int_1, Py_None, Py_None); if (unlikely(!__pyx_slice__112)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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);
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+ /* "netCDF4/_netCDF4.pyx":5336
* for dset in self._cdf:
* if dset.file_format == 'NETCDF4' or dset.data_model == 'NETCDF4':
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- __Pyx_GOTREF(__pyx_tuple__113);
- __Pyx_GIVEREF(__pyx_tuple__113);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5406
+ /* "netCDF4/_netCDF4.pyx":5452
* def __len__(self):
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* raise TypeError('len() of unsized object') # <<<<<<<<<<<<<<
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- __Pyx_GOTREF(__pyx_tuple__114);
- __Pyx_GIVEREF(__pyx_tuple__114);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5411
+ /* "netCDF4/_netCDF4.pyx":5457
* def _shape(self):
* recdimlen = len(self._dset.dimensions[self._recdimname])
* return (recdimlen,) + self._mastervar.shape[1:] # <<<<<<<<<<<<<<
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- __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 = 5457; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __Pyx_GOTREF(__pyx_slice__116);
+ __Pyx_GIVEREF(__pyx_slice__116);
- /* "netCDF4/_netCDF4.pyx":5432
+ /* "netCDF4/_netCDF4.pyx":5478
* # 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__116 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__116)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5432; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__116);
- __Pyx_GIVEREF(__pyx_slice__116);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5433
+ /* "netCDF4/_netCDF4.pyx":5479
* # put_ind for this dimension is set to -1 by _StartCountStride.
* squeeze = data.ndim * [slice(None),]
* for i,n in enumerate(put_ind.shape[:-1]): # <<<<<<<<<<<<<<
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*/
- __pyx_slice__117 = PySlice_New(Py_None, __pyx_int_neg_1, Py_None); if (unlikely(!__pyx_slice__117)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5433; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__117);
- __Pyx_GIVEREF(__pyx_slice__117);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5450
+ /* "netCDF4/_netCDF4.pyx":5496
* 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__118 = PyTuple_Pack(1, __pyx_kp_s_negative_strides_not_allowed_whe); if (unlikely(!__pyx_tuple__118)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5450; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__118);
- __Pyx_GIVEREF(__pyx_tuple__118);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5474
+ /* "netCDF4/_netCDF4.pyx":5520
*
* # 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__119 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__119)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_slice__119);
- __Pyx_GIVEREF(__pyx_slice__119);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5576
+ /* "netCDF4/_netCDF4.pyx":5622
* 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__120 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_time_va); if (unlikely(!__pyx_tuple__120)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5576; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__120);
- __Pyx_GIVEREF(__pyx_tuple__120);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5580
+ /* "netCDF4/_netCDF4.pyx":5626
* # 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__121 = PyTuple_Pack(1, __pyx_kp_s_MFTime_requires_that_the_same_ti); if (unlikely(!__pyx_tuple__121)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5580; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__121);
- __Pyx_GIVEREF(__pyx_tuple__121);
+ __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);
- /* "netCDF4/_netCDF4.pyx":5586
+ /* "netCDF4/_netCDF4.pyx":5632
*
* # 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__122 = PyTuple_Pack(3, __pyx_int_1900, __pyx_int_1, __pyx_int_1); if (unlikely(!__pyx_tuple__122)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5586; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__122);
- __Pyx_GIVEREF(__pyx_tuple__122);
+ __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);
- /* "netCDF4/_netCDF4.pyx":920
+ /* "netCDF4/_netCDF4.pyx":921
* 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__123 = PyTuple_Pack(1, __pyx_kp_s_please_install_ordereddict_https); if (unlikely(!__pyx_tuple__123)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 920; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__123);
- __Pyx_GIVEREF(__pyx_tuple__123);
+ __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);
- /* "netCDF4/_netCDF4.pyx":939
+ /* "netCDF4/_netCDF4.pyx":940
* from numpy import ma
* from numpy import __version__ as _npversion
* if _npversion.split('.')[0] < '1': # <<<<<<<<<<<<<<
* raise ImportError('requires numpy version 1.0rc1 or later')
* import_array()
*/
- __pyx_tuple__125 = PyTuple_Pack(1, __pyx_kp_s__124); if (unlikely(!__pyx_tuple__125)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 939; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
- __Pyx_GOTREF(__pyx_tuple__125);
- __Pyx_GIVEREF(__pyx_tuple__125);
+ __pyx_tuple__126 = PyTuple_Pack(1, __pyx_kp_s__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);
- /* "netCDF4/_netCDF4.pyx":940
+ /* "netCDF4/_netCDF4.pyx":941
* from numpy import __version__ as _npversion
* if _npversion.split('.')[0] < '1':
* raise ImportError('requires numpy version 1.0rc1 or later') # <<<<<<<<<<<<<<
* import_array()
* include "netCDF4.pxi"
*/
- __pyx_tuple__126 = PyTuple_Pack(1, __pyx_kp_s_requires_numpy_version_1_0rc1_or); 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__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);
- /* "netCDF4/_netCDF4.pyx":947
+ /* "netCDF4/_netCDF4.pyx":948
* # check for required version of netcdf-4 and hdf5.
*
* def _gethdf5libversion(): # <<<<<<<<<<<<<<
* majorvers = H5_VERS_MAJOR
* minorvers = H5_VERS_MINOR
*/
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- __Pyx_GOTREF(__pyx_tuple__127);
- __Pyx_GIVEREF(__pyx_tuple__127);
- __pyx_codeobj__128 = (PyObject*)__Pyx_PyCode_New(0, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__127, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Volumes_Drobo_python_netcdf4_py, __pyx_n_s_gethdf5libversion, 947, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__128)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 947; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __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;}
- /* "netCDF4/_netCDF4.pyx":957
+ /* "netCDF4/_netCDF4.pyx":958
* return '%d.%d.%d-%s' % (majorvers,minorvers,releasevers,patchstring)
*
* def getlibversion(): # <<<<<<<<<<<<<<
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+ /* "netCDF4/_netCDF4.pyx":1012
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+ /* "netCDF4/_netCDF4.pyx":1013
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+ __pyx_tuple__132 = PyTuple_Pack(1, __pyx_kp_s_f4_3); if (unlikely(!__pyx_tuple__132)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1013; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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- /* "netCDF4/_netCDF4.pyx":4787
+ /* "netCDF4/_netCDF4.pyx":4802
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- __Pyx_GOTREF(__pyx_tuple__134);
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+ /* "netCDF4/_netCDF4.pyx":4892
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+ __Pyx_GOTREF(__pyx_tuple__144);
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- /* "netCDF4/_netCDF4.pyx":4950
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+ __pyx_tuple__146 = PyTuple_Pack(20, __pyx_n_s_times, __pyx_n_s_units, __pyx_n_s_calendar, __pyx_n_s_basedate, __pyx_n_s_unit, __pyx_n_s_msg, __pyx_n_s_isscalar, __pyx_n_s_shape, __pyx_n_s_ismasked, __pyx_n_s_mask, __pyx_n_s_dates, __pyx_n_s_time, __pyx_n_s_tsecs, __pyx_n_s_days, __pyx_n_s_msecsd, __pyx_n_s_secs, __pyx_n_s_msecs, __pyx_n_s_td, __pyx_n_s_date, __pyx_n_s_cdftime); if (unlikely(!__pyx_tuple__146)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4980; __pyx_clineno = __LINE__; [...]
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* return cdftime.num2date(times)
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* """
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- __Pyx_GOTREF(__pyx_tuple__189);
- __Pyx_GIVEREF(__pyx_tuple__189);
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+ __Pyx_GOTREF(__pyx_tuple__188);
+ __Pyx_GIVEREF(__pyx_tuple__188);
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+ __Pyx_GOTREF(__pyx_tuple__190);
+ __Pyx_GIVEREF(__pyx_tuple__190);
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* def __getitem__(self, elem): # <<<<<<<<<<<<<<
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- __Pyx_GIVEREF(__pyx_tuple__190);
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+ __Pyx_GOTREF(__pyx_tuple__191);
+ __Pyx_GIVEREF(__pyx_tuple__191);
+ __pyx_codeobj__192 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__191, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_jsw_python_netcdf4_python, __pyx_n_s_getitem, 5648, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__192)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 5648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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return 0;
__pyx_L1_error:;
@@ -73349,7 +74232,7 @@ 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_0_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
+ __pyx_m = Py_InitModule4("_netCDF4", __pyx_methods, __pyx_k_Version_1_2_1_Introduction_netc, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
#else
__pyx_m = PyModule_Create(&__pyx_moduledef);
#endif
@@ -73386,11 +74269,11 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
/*--- 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 = 1496; __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_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 = 1496; __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 = 1497; __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__;
@@ -73398,15 +74281,15 @@ 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 = 1496; __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 = 1497; __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 = 2458; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ 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;}
__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 = 2458; __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 = 2459; __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__;
@@ -73414,14 +74297,14 @@ 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 = 2458; __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 = 2459; __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 = 2553; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ 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;}
__pyx_type_7netCDF4_8_netCDF4_Dimension.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2553; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Dimension, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2554; __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__;
@@ -73429,13 +74312,13 @@ 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 = 2553; __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 = 2554; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_Dimension = &__pyx_type_7netCDF4_8_netCDF4_Dimension;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2702; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2703; __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 = 2702; __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 = 2703; __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__;
@@ -73443,13 +74326,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "Variable", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2702; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "Variable", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_Variable) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2703; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_Variable = &__pyx_type_7netCDF4_8_netCDF4_Variable;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4298; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4313; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_CompoundType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4298; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4313; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_12CompoundType___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_12CompoundType___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_12CompoundType___init__;
@@ -73457,13 +74340,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "CompoundType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4298; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "CompoundType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_CompoundType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4313; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_CompoundType = &__pyx_type_7netCDF4_8_netCDF4_CompoundType;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4543; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_VLType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4543; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
__pyx_wrapperbase_7netCDF4_8_netCDF4_6VLType___init__ = *((PyWrapperDescrObject *)wrapper)->d_base;
__pyx_wrapperbase_7netCDF4_8_netCDF4_6VLType___init__.doc = __pyx_doc_7netCDF4_8_netCDF4_6VLType___init__;
@@ -73471,13 +74354,13 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
}
}
#endif
- if (PyObject_SetAttrString(__pyx_m, "VLType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyObject_SetAttrString(__pyx_m, "VLType", (PyObject *)&__pyx_type_7netCDF4_8_netCDF4_VLType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4543; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7netCDF4_8_netCDF4_VLType = &__pyx_type_7netCDF4_8_netCDF4_VLType;
- if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ if (PyType_Ready(&__pyx_type_7netCDF4_8_netCDF4_EnumType) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4658; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7netCDF4_8_netCDF4_EnumType.tp_print = 0;
#if CYTHON_COMPILING_IN_CPYTHON
{
- PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ PyObject *wrapper = PyObject_GetAttrString((PyObject *)&__pyx_type_7netCDF4_8_netCDF4_EnumType, "__init__"); if (unlikely(!wrapper)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 4658; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (Py_TYPE(wrapper) == &PyWrapperDescr_Type) {
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goto __pyx_L14_except_error;
__pyx_L14_except_error:;
- /* "netCDF4/_netCDF4.pyx":917
+ /* "netCDF4/_netCDF4.pyx":918
* from collections import OrderedDict
* except ImportError: # or else use drop-in substitute
* try: # <<<<<<<<<<<<<<
@@ -73728,7 +74611,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
goto __pyx_L4_except_error;
__pyx_L4_except_error:;
- /* "netCDF4/_netCDF4.pyx":914
+ /* "netCDF4/_netCDF4.pyx":915
* _out_array_shape, _sortbylist, _tostr)
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* try: # <<<<<<<<<<<<<<
@@ -73748,7 +74631,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
__pyx_L9_try_end:;
}
- /* "netCDF4/_netCDF4.pyx":921
+ /* "netCDF4/_netCDF4.pyx":922
* except ImportError:
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* try: # <<<<<<<<<<<<<<
@@ -73762,28 +74645,28 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
__Pyx_XGOTREF(__pyx_t_3);
/*try:*/ {
- /* "netCDF4/_netCDF4.pyx":922
+ /* "netCDF4/_netCDF4.pyx":923
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__Pyx_GOTREF(__pyx_t_7);
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_zip, __pyx_t_7) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 923; __pyx_clineno = __LINE__; goto __pyx_L22_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ /* "netCDF4/_netCDF4.pyx":922
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* try: # <<<<<<<<<<<<<<
@@ -73804,7 +74687,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
__Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
__Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
- /* "netCDF4/_netCDF4.pyx":923
+ /* "netCDF4/_netCDF4.pyx":924
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* except ImportError: # <<<<<<<<<<<<<<
@@ -73819,7 +74702,7 @@ PyMODINIT_FUNC PyInit__netCDF4(void)
goto __pyx_L24_except_error;
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+ /* "netCDF4/_netCDF4.pyx":922
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* try: # <<<<<<<<<<<<<<
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__pyx_L29_try_end:;
}
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+ /* "netCDF4/_netCDF4.pyx":928
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*/
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_GOTREF(__pyx_t_2);
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_netcdftime, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 932; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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- __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 932; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 933; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+ if (PyDict_SetItem(__pyx_d, __pyx_n_s_numpy, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 933; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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*/
- __pyx_t_2 = __Pyx_Import(__pyx_n_s_weakref, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 933; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+ __pyx_t_2 = __Pyx_Import(__pyx_n_s_weakref, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 934; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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+ CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) {
+#if CYTHON_COMPILING_IN_CPYTHON
+ if (is_list || PyList_CheckExact(o)) {
+ Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o));
+ if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) {
+ PyObject* old = PyList_GET_ITEM(o, n);
+ Py_INCREF(v);
+ PyList_SET_ITEM(o, n, v);
+ Py_DECREF(old);
+ return 1;
+ }
+ } else {
+ PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
+ if (likely(m && m->sq_ass_item)) {
+ if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
+ Py_ssize_t l = m->sq_length(o);
+ if (likely(l >= 0)) {
+ i += l;
+ } else {
+ if (PyErr_ExceptionMatches(PyExc_OverflowError))
+ PyErr_Clear();
+ else
+ return -1;
+ }
+ }
+ return m->sq_ass_item(o, i, v);
+ }
+ }
+#else
+#if CYTHON_COMPILING_IN_PYPY
+ if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) {
+#else
+ if (is_list || PySequence_Check(o)) {
+#endif
+ return PySequence_SetItem(o, i, v);
+ }
+#endif
+ return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v);
+}
+
static double __Pyx__PyObject_AsDouble(PyObject* obj) {
PyObject* float_value;
#if CYTHON_COMPILING_IN_PYPY
@@ -77494,54 +78425,6 @@ static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_U
}
#endif
-static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) {
- int r;
- if (!j) return -1;
- r = PyObject_SetItem(o, j, v);
- Py_DECREF(j);
- return r;
-}
-static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list,
- CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) {
-#if CYTHON_COMPILING_IN_CPYTHON
- if (is_list || PyList_CheckExact(o)) {
- Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o));
- if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) {
- PyObject* old = PyList_GET_ITEM(o, n);
- Py_INCREF(v);
- PyList_SET_ITEM(o, n, v);
- Py_DECREF(old);
- return 1;
- }
- } else {
- PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
- if (likely(m && m->sq_ass_item)) {
- if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
- Py_ssize_t l = m->sq_length(o);
- if (likely(l >= 0)) {
- i += l;
- } else {
- if (PyErr_ExceptionMatches(PyExc_OverflowError))
- PyErr_Clear();
- else
- return -1;
- }
- }
- return m->sq_ass_item(o, i, v);
- }
- }
-#else
-#if CYTHON_COMPILING_IN_PYPY
- if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) {
-#else
- if (is_list || PySequence_Check(o)) {
-#endif
- return PySequence_SetItem(o, i, v);
- }
-#endif
- return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v);
-}
-
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {
PyObject *method, *result = NULL;
method = __Pyx_PyObject_GetAttrStr(obj, method_name);
diff --git a/netCDF4/_netCDF4.pyx b/netCDF4/_netCDF4.pyx
index 88b9822..0643b7d 100644
--- a/netCDF4/_netCDF4.pyx
+++ b/netCDF4/_netCDF4.pyx
@@ -1,5 +1,5 @@
"""
-Version 1.2.0
+Version 1.2.1
-------------
- - -
@@ -103,7 +103,7 @@ Tutorial
7. [Dealing with time coordinates.](#section7)
8. [Reading data from a multi-file netCDF dataset.](#section8)
9. [Efficient compression of netCDF variables.](#section9)
-10. [Beyond homogenous arrays of a fixed type - compound data types.](#section10)
+10. [Beyond homogeneous arrays of a fixed type - compound data types.](#section10)
11. [Variable-length (vlen) data types.](#section11)
12. [Enum data type.](#section12)
@@ -502,7 +502,8 @@ Similarly, a netCDF variable of shape `(2,3,4,5)` indexed
with `[0, array([True, False, True]), array([False, True, True, True]), :]`
would return a `(2, 3, 5)` array. In NumPy, this would raise an error since
it would be equivalent to `[0, [0,1], [1,2,3], :]`. When slicing with integer
-sequences, the indices must be sorted in increasing order and contain no duplicates.
+sequences, the indices ***need not be sorted*** and ***may contain
+duplicates*** (both of these are new features in version 1.2.1).
While this behaviour may cause some confusion for those used to NumPy's 'fancy indexing' rules,
it provides a very powerful way to extract data from multidimensional netCDF
variables by using logical operations on the dimension arrays to create slices.
@@ -651,7 +652,7 @@ and then
and see how much smaller the resulting files are.
-## <div id='section10'>10) Beyond homogenous arrays of a fixed type - compound data types.
+## <div id='section10'>10) Beyond homogeneous arrays of a fixed type - compound data types.
Compound data types map directly to numpy structured (a.k.a 'record'
arrays). Structured arrays are akin to C structs, or derived types
@@ -924,7 +925,7 @@ except ImportError:
# python3: zip is already python2's itertools.izip
pass
-__version__ = "1.2.0"
+__version__ = "1.2.1"
# Initialize numpy
import posixpath
@@ -1971,7 +1972,7 @@ dtype object `datatype`.
***Note***: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
-are homogenous numeric data types), then the 'inner' compound types **must** be
+are homogeneous numeric data types), then the 'inner' compound types **must** be
created first.
The return value is the `netCDF4.CompoundType` class instance describing the new
@@ -2420,18 +2421,18 @@ contain all of the matches. For example,
>>> # Get variables with matching "standard_name" attribute
>>> nc.get_variables_by_attributes(standard_name='northward_sea_water_velocity')
-Can pass in key=callable parameter and if the callable returns
-True. The callable should accept a single parameter, the attribute
-value. None is returned as the attribute value when the attribute
-does not exist on the variable., For example,
+Can pass in key=callable parameter and variables are returned if the
+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,
:::python
>>> # Get Axis variables
>>> vs = nc.get_variables_by_attributes(axis=lambda v: v in ['X', 'Y', 'Z', 'T'])
- >>> # Get variable that don't have a "axis" attribute
+ >>> # Get variables that don't have an "axis" attribute
>>> vs = nc.get_variables_by_attributes(axis=lambda v: v is None)
- >>> # Get variable that have a "grid_mapping" attribute
- >>> vs = nc.get_variables_by_attributes(axis=lambda v: v is not None)
+ >>> # Get variables that have a "grid_mapping" attribute
+ >>> vs = nc.get_variables_by_attributes(grid_mapping=lambda v: v is not None)
"""
vs = []
@@ -3562,7 +3563,11 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
data = datout
else:
shape = getattr(data[tuple(i)], 'shape', ())
- data[tuple(i)] = datout.reshape(shape)
+ if self._isvlen and not len(self.dimensions):
+ # special case of scalar VLEN
+ data[0] = datout
+ else:
+ data[tuple(i)] = datout.reshape(shape)
# Remove extra singleton dimensions.
if hasattr(data,'shape'):
@@ -3784,9 +3789,15 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
# assume it is a python string and raise an error
# if it is an array, but not an object array.
if not hasattr(data,'ndim'):
+ # issue 458, allow Ellipsis to be used for scalar var
+ if type(elem) == type(Ellipsis) and not\
+ len(self.dimensions): elem = 0
self._assign_vlen(elem, data)
return
elif data.dtype.kind in ['S', 'U']:
+ if ma.isMA(data):
+ msg='masked arrays cannot be assigned by VLEN str slices'
+ raise TypeError(msg)
data = data.astype(object)
elif data.dtype.kind != 'O':
msg = ('only numpy string, unicode or object arrays can '
@@ -3797,6 +3808,9 @@ rename a `netCDF4.Variable` attribute named `oldname` to `newname`."""
# not an object array, assume it represents a single element
# of the vlen var.
if not hasattr(data,'ndim') or data.dtype.kind != 'O':
+ # issue 458, allow Ellipsis to be used for scalar var
+ if type(elem) == type(Ellipsis) and not\
+ len(self.dimensions): elem = 0
self._assign_vlen(elem, data)
return
@@ -4800,9 +4814,15 @@ def _dateparse(timestr):
isostring = timestr[n:]
year, month, day, hour, minute, second, utc_offset =\
_parse_date( isostring.strip() )
- basedate = datetime(year, month, day, hour, minute, second)
- # add utc_offset to basedate time instance (which is timezone naive)
- basedate += timedelta(days=utc_offset/1440.)
+ if year >= MINYEAR:
+ basedate = datetime(year, month, day, hour, minute, second)
+ # add utc_offset to basedate time instance (which is timezone naive)
+ basedate += timedelta(days=utc_offset/1440.)
+ else:
+ if not utc_offset:
+ basedate = netcdftime.datetime(year, month, day, hour, minute, second)
+ else:
+ raise ValueError('cannot use utc_offset for reference years <= 0')
return basedate
def stringtoarr(string,NUMCHARS,dtype='S'):
@@ -4897,8 +4917,17 @@ Default is `'standard'`, which is a mixed Julian/Gregorian calendar.
returns a numeric time value, or an array of numeric time values.
"""
+ calendar = calendar.lower()
basedate = _dateparse(units)
unit = units.split()[0].lower()
+ # real-world calendars limited to positive reference years.
+ if calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
+ if basedate.year == 0:
+ msg='zero not allowed as a reference year, does not exist in Julian or Gregorian calendars'
+ raise ValueError(msg)
+ elif basedate.year < 0:
+ msg='negative reference year in time units, must be >= 1'
+ raise ValueError(msg)
if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
(calendar in ['gregorian','standard'] and basedate > gregorian):
@@ -4987,6 +5016,14 @@ contains one.
calendar = calendar.lower()
basedate = _dateparse(units)
unit = units.split()[0].lower()
+ # real-world calendars limited to positive reference years.
+ if calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
+ if basedate.year == 0:
+ msg='zero not allowed as a reference year, does not exist in Julian or Gregorian calendars'
+ raise ValueError(msg)
+ elif basedate.year < 0:
+ msg='negative reference year in time units, must be >= 1'
+ raise ValueError(msg)
if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
(calendar in ['gregorian','standard'] and basedate > gregorian):
@@ -5081,6 +5118,14 @@ to the given datetime object(s).
calendar = getattr(nctime, 'calendar', 'standard')
calendar = calendar.lower()
basedate = _dateparse(nctime.units)
+ # real-world calendars limited to positive reference years.
+ if calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
+ if basedate.year == 0:
+ msg='zero not allowed as a reference year, does not exist in Julian or Gregorian calendars'
+ raise ValueError(msg)
+ elif basedate.year < 0:
+ msg='negative reference year in time units, must be >= 1'
+ raise ValueError(msg)
if (calendar == 'proleptic_gregorian' and basedate.year >= MINYEAR) or \
(calendar in ['gregorian','standard'] and basedate > gregorian):
diff --git a/netCDF4/utils.py b/netCDF4/utils.py
index ca49917..9eb3039 100644
--- a/netCDF4/utils.py
+++ b/netCDF4/utils.py
@@ -12,6 +12,8 @@ if python3:
# no unicode type in python 3, use bytes instead when testing
# for a string-like object
unicode = str
+else:
+ range = xrange
try:
bytes
except NameError:
@@ -178,7 +180,7 @@ def _StartCountStride(elem, shape, dimensions=None, grp=None, datashape=None,\
else: # Convert single index to sequence
elem = [elem]
- # replace sequence of integer indices with boolean arrays
+ # replace boolean arrays with sequences of integers.
newElem = []
IndexErrorMsg=\
"only integers, slices (`:`), ellipsis (`...`), and 1-d integer or boolean arrays are valid indices"
@@ -208,38 +210,29 @@ def _StartCountStride(elem, shape, dimensions=None, grp=None, datashape=None,\
unlim = False
else:
unlim = False
+ # convert boolean index to integer array.
+ if np.iterable(ea) and ea.dtype.kind =='b':
+ # check that boolen array not too long
+ if not unlim and shape[i] != len(ea):
+ msg="""
+Boolean array must have the same shape as the data along this dimension."""
+ raise IndexError(msg)
+ ea = np.flatnonzero(ea)
# an iterable (non-scalar) integer array.
if np.iterable(ea) and ea.dtype.kind == 'i':
# convert negative indices in 1d array to positive ones.
ea = np.where(ea < 0, ea + shape[i], ea)
if np.any(ea < 0):
raise IndexErro("integer index out of range")
- if not np.all(np.diff(ea) > 0): # same but cheaper than np.all(np.unique(ea) == ea)
- # raise an error when new indexing behavior is different
- # (i.e. when integer sequence not sorted, or there are
- # duplicate indices in the sequence)
- msg = "integer sequences in slices must be sorted and cannot have duplicates"
- raise IndexError(msg)
- # convert to boolean array.
- # if unlim, let boolean array be longer than current dimension
+ # if unlim, let integer index be longer than current dimension
# length.
- elen = shape[i]
- if unlim:
- elen = max(ea.max()+1,elen)
- else:
+ if ea.shape != (0,):
+ elen = shape[i]
+ if unlim:
+ elen = max(ea.max()+1,elen)
if ea.max()+1 > elen:
msg="integer index exceeds dimension size"
raise IndexError(msg)
- eb = np.zeros(elen,np.bool)
- eb[ea] = True
- newElem.append(eb)
- # an iterable (non-scalar) boolean array
- elif np.iterable(ea) and ea.dtype.kind =='b':
- # check that boolen array not too long
- if not unlim and shape[i] != len(ea):
- msg="""
-Boolean array must have the same shape as the data along this dimension."""
- raise IndexError(msg)
newElem.append(ea)
# integer scalar
elif ea.dtype.kind == 'i':
@@ -255,7 +248,7 @@ Boolean array must have the same shape as the data along this dimension."""
raise IndexError(IndexErrorMsg)
elem = newElem
- # replace Ellipsis and boolean arrays with slice objects, if possible.
+ # replace Ellipsis and integer arrays with slice objects, if possible.
hasEllipsis = False
newElem = []
for e in elem:
@@ -267,22 +260,21 @@ Boolean array must have the same shape as the data along this dimension."""
# The ellipsis stands for the missing dimensions.
newElem.extend((slice(None, None, None),) * (nDims - len(elem) + 1))
hasEllipsis = True
- # Replace boolean array with slice object if possible.
- elif ea.dtype.kind == 'b':
- if ea.any():
- indices = np.flatnonzero(ea)
- start = indices[0]
- stop = indices[-1] + 1
- if len(indices) >= 2:
- step = indices[1] - indices[0]
- else:
- step = None
- if np.array_equal(indices, np.arange(start, stop, step)):
- newElem.append(slice(start, stop, step))
- else:
- newElem.append(ea)
+ # Replace sequence of indices with slice object if possible.
+ elif np.iterable(e) and len(e) > 1:
+ start = e[0]
+ stop = e[-1]+1
+ step = e[1]-e[0]
+ try:
+ ee = range(start,stop,step)
+ except ValueError: # start, stop or step is not valid for a range
+ ee = False
+ if ee and len(e) == len(ee) and (e == np.arange(start,stop,step)).all():
+ newElem.append(slice(start,stop,step))
else:
- newElem.append(slice(0, 0))
+ newElem.append(e)
+ elif np.iterable(e) and len(e) == 1:
+ newElem.append(slice(e[0], e[0] + 1, 1))
else:
newElem.append(e)
elem = newElem
@@ -301,10 +293,10 @@ Boolean array must have the same shape as the data along this dimension."""
# number of times the _get method will be called.
sdim = []
for i, e in enumerate(elem):
- # at this stage e is a slice, a scalar integer, or a 1d boolean array.
- # Booleans --- _get call for each True value
- if np.asarray(e).dtype.kind == 'b':
- sdim.append(e.sum())
+ # at this stage e is a slice, a scalar integer, or a 1d integer array.
+ # integer array: _get call for each True value
+ if np.iterable(e):
+ sdim.append(np.alen(e))
# Scalar int or slice, just a single _get call
else:
sdim.append(1)
@@ -364,16 +356,14 @@ Boolean array must have the same shape as the data along this dimension."""
stride[...,i] = inc
indices[...,i] = slice(None)
- # BOOLEAN ITERABLE #
- elif ea.dtype.kind == 'b':
- e = np.arange(len(e))[e] # convert to integer array
+ # ITERABLE #
+ elif np.iterable(e) and np.array(e).dtype.kind in 'i': # Sequence of integers
start[...,i] = np.apply_along_axis(lambda x: e*x, i, np.ones(sdim[:-1]))
indices[...,i] = np.apply_along_axis(lambda x: np.arange(sdim[i])*x, i, np.ones(sdim[:-1], int))
count[...,i] = 1
stride[...,i] = 1
-
# all that's left is SCALAR INTEGER #
else:
if e >= 0:
@@ -442,7 +432,7 @@ def ncinfo():
usage = """
Print summary information about a netCDF file.
- usage: %s [-h] [-g grp or --group=grp] [-v var or --variable=var] [-d dim or --dimension=dim] filename
+ usage: %s [-h] [-g grp or --group=grp] [-v var or --variable=var] [-d dim or --dimension=dim] filename
-h -- Print usage message.
-g <group name> or --group=<group name> -- Print info for this group
@@ -519,7 +509,7 @@ def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NE
if not quiet: sys.stdout.write('copying global attributes ..\n')
#for attname in ncfile4.ncattrs():
# setattr(ncfile3,attname,getattr(ncfile4,attname))
- ncfile3.setncatts(ncfile4.__dict__)
+ ncfile3.setncatts(ncfile4.__dict__)
if not quiet: sys.stdout.write('copying dimensions ..\n')
for dimname,dim in ncfile4.dimensions.items():
if dim.isunlimited():
@@ -530,7 +520,7 @@ def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NE
ncfile3.createDimension(dimname,len(dim))
# create variables.
for varname,ncvar in ncfile4.variables.items():
- if not quiet:
+ if not quiet:
sys.stdout.write('copying variable %s\n' % varname)
# is there an unlimited dimension?
if unlimdimname and unlimdimname in ncvar.dimensions:
@@ -540,11 +530,11 @@ def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NE
if hasattr(ncvar, '_FillValue'):
FillValue = ncvar._FillValue
else:
- FillValue = None
+ FillValue = None
var = ncfile3.createVariable(varname,ncvar.dtype,ncvar.dimensions,fill_value=FillValue)
# fill variable attributes.
attdict = ncvar.__dict__
- if '_FillValue' in attdict:
+ if '_FillValue' in attdict:
del attdict['_FillValue']
var.setncatts(attdict)
#for attname in ncvar.ncattrs():
@@ -555,11 +545,11 @@ def _nc4tonc3(filename4,filename3,clobber=False,nchunk=10,quiet=False,format='NE
# range to copy
if nchunk:
start = 0; stop = len(unlimdim); step = nchunk
- if step < 1:
+ if step < 1:
step = 1
for n in range(start, stop, step):
nmax = n+nchunk
- if nmax > len(unlimdim):
+ if nmax > len(unlimdim):
nmax=len(unlimdim)
var[n:nmax] = ncvar[n:nmax]
else:
@@ -580,8 +570,8 @@ def nc4tonc3():
-o -- Overwite destination file (default is to raise an error if output file already exists).
--quiet=(0|1) -- if 1, don't print diagnostic information.
--format -- netcdf3 format to use (NETCDF3_64BIT by default, can be set to NETCDF3_CLASSIC)
- --chunk=(integer) -- number of records along unlimited dimension to
- write at once. Default 10. Ignored if there is no unlimited
+ --chunk=(integer) -- number of records along unlimited dimension to
+ write at once. Default 10. Ignored if there is no unlimited
dimension. chunk=0 means write all the data at once.
\n""" % os.path.basename(sys.argv[0])
@@ -645,13 +635,13 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
corresponding to the keys of the dict will be truncated to the decimal place
specified by the values of the dict. This improves compression by
making it 'lossy'..
- If vars is not None, only variable names in the list
+ If vars is not None, only variable names in the list
will be copied (plus all the dimension variables).
The zlib, complevel and shuffle keywords control
how the compression is done."""
from netCDF4 import Dataset
-
+
ncfile3 = Dataset(filename3,'r')
if classic:
ncfile4 = Dataset(filename4,'w',clobber=clobber,format='NETCDF4_CLASSIC')
@@ -665,7 +655,7 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
if not quiet: sys.stdout.write('copying global attributes ..\n')
#for attname in ncfile3.ncattrs():
# setattr(ncfile4,attname,getattr(ncfile3,attname))
- ncfile4.setncatts(ncfile3.__dict__)
+ ncfile4.setncatts(ncfile3.__dict__)
if not quiet: sys.stdout.write('copying dimensions ..\n')
for dimname,dim in ncfile3.dimensions.items():
if dim.isunlimited():
@@ -713,16 +703,16 @@ def _nc3tonc4(filename3,filename4,unpackshort=True,
if hasattr(ncvar, '_FillValue'):
FillValue = ncvar._FillValue
else:
- FillValue = None
+ FillValue = None
var = ncfile4.createVariable(varname,datatype,ncvar.dimensions, fill_value=FillValue, least_significant_digit=lsd,zlib=zlib,complevel=complevel,shuffle=shuffle,fletcher32=fletcher32)
# fill variable attributes.
attdict = ncvar.__dict__
if '_FillValue' in attdict: del attdict['_FillValue']
- if dounpackshort and 'add_offset' in attdict:
+ if dounpackshort and 'add_offset' in attdict:
del attdict['add_offset']
- if dounpackshort and 'scale_factor' in attdict:
+ if dounpackshort and 'scale_factor' in attdict:
del attdict['scale_factor']
- if dounpackshort and 'missing_value' in attdict:
+ if dounpackshort and 'missing_value' in attdict:
attdict['missing_value']=mval
var.setncatts(attdict)
#for attname in ncvar.ncattrs():
@@ -800,12 +790,12 @@ def nc3tonc4():
and 'temp' to 1. This can significantly improve compression. The default
is not to quantize any of the variables.
--quiet=(0|1) -- if 1, don't print diagnostic information.
- --chunk=(integer) -- number of records along unlimited dimension to
- write at once. Default 10. Ignored if there is no unlimited
+ --chunk=(integer) -- number of records along unlimited dimension to
+ write at once. Default 10. Ignored if there is no unlimited
dimension. chunk=0 means write all the data at once.
- --istart=(integer) -- number of record to start at along unlimited dimension.
+ --istart=(integer) -- number of record to start at along unlimited dimension.
Default 0. Ignored if there is no unlimited dimension.
- --istop=(integer) -- number of record to stop at along unlimited dimension.
+ --istop=(integer) -- number of record to stop at along unlimited dimension.
Default -1. Ignored if there is no unlimited dimension.
\n""" % os.path.basename(sys.argv[0])
diff --git a/netcdftime/netcdftime.py b/netcdftime/netcdftime.py
index ee2619c..5e3b603 100644
--- a/netcdftime/netcdftime.py
+++ b/netcdftime/netcdftime.py
@@ -23,7 +23,7 @@ _units = microsec_units+millisec_units+sec_units+min_units+hr_units+day_units
_calendars = ['standard', 'gregorian', 'proleptic_gregorian',
'noleap', 'julian', 'all_leap', '365_day', '366_day', '360_day']
-__version__ = '1.4'
+__version__ = '1.4.1'
# Adapted from http://delete.me.uk/2005/03/iso8601.html
ISO8601_REGEX = re.compile(r"(?P<year>[+-]?[0-9]{1,4})(-(?P<month>[0-9]{1,2})(-(?P<day>[0-9]{1,2})"
@@ -664,6 +664,14 @@ units to datetime objects.
raise ValueError(
"calendar must be one of %s, got '%s'" % (str(_calendars), calendar))
units, tzoffset, self.origin = _dateparse(unit_string)
+ # real-world calendars limited to positive reference years.
+ if self.calendar in ['julian', 'standard', 'gregorian', 'proleptic_gregorian']:
+ if self.origin.year == 0:
+ msg='zero not allowed as a reference year, does not exist in Julian or Gregorian calendars'
+ raise ValueError(msg)
+ elif self.origin.year < 0:
+ msg='negative reference year in time units, must be >= 1'
+ raise ValueError(msg)
self.tzoffset = tzoffset # time zone offset in minutes
self.units = units
self.unit_string = unit_string
@@ -901,12 +909,6 @@ def _parse_date(datestring):
# else:
# groups["fraction"] = int(float("0.%s" % groups["fraction"]) * 1e6)
iyear = int(groups["year"])
- if iyear == 0:
- msg='zero not allowed as a reference year, does not exist in Julian or Gregorian calendars'
- raise ValueError(msg)
- elif iyear < 0:
- msg='negative reference year in time units, must be >= 1'
- raise ValueError(msg)
return iyear, int(groups["month"]), int(groups["day"]),\
int(groups["hour"]), int(groups["minute"]), int(groups["second"]),\
tzoffset_mins
@@ -1002,7 +1004,7 @@ def date2index(dates, nctime, calendar=None, select='exact'):
an exact match cannot be found. C{nearest} will return the indices that
correpond to the closest dates.
"""
- try:
+ try:
nctime.units
except AttributeError:
raise AttributeError("netcdf time variable is missing a 'units' attribute")
@@ -1040,7 +1042,7 @@ def time2index(times, nctime, calendar=None, select='exact'):
an exact match cannot be found. C{nearest} will return the indices that
correpond to the closest times.
"""
- try:
+ try:
nctime.units
except AttributeError:
raise AttributeError("netcdf time variable is missing a 'units' attribute")
diff --git a/setup.py b/setup.py
index baa1ea5..014403f 100644
--- a/setup.py
+++ b/setup.py
@@ -421,7 +421,7 @@ else:
setup(name = "netCDF4",
cmdclass = cmdclass,
- version = "1.2.0",
+ version = "1.2.1",
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_fancyslicing.py b/test/tst_fancyslicing.py
index 1533819..32b9b2a 100644
--- a/test/tst_fancyslicing.py
+++ b/test/tst_fancyslicing.py
@@ -125,15 +125,13 @@ class VariablesTestCase(unittest.TestCase):
False,False,False])
assert_array_equal(v[:,iby,ibz],self.data[:,0:1,1:2])
- # test to see that illegal integer sequences raise an IndexError
- try:
- v[:,[1,3,2],:] # unsorted indices
- v[:,[1,2,2],:] # duplicate index
- except IndexError:
- pass
- else:
- msg='did not catch error for unsorted and/or duplicate indices'
- raise IndexError(msg)
+ # check slicing with unsorted integer sequences
+ # and integer sequences with duplicate elements.
+ v1 = v[:,[1],:]; v2 = v[:,[3],:]; v3 = v[:,[2],:]
+ vcheck = np.concatenate((v1,v2,v3),axis=1)
+ assert_array_equal(vcheck,v[:,[1,3,2],:])
+ vcheck = np.concatenate((v1,v3,v3),axis=1)
+ assert_array_equal(vcheck,v[:,[1,2,2],:])
# Ellipse
assert_array_equal(v[...,::2],self.data[..., ::2])
diff --git a/test/tst_netcdftime.py b/test/tst_netcdftime.py
index 8da92f9..f9dfa15 100644
--- a/test/tst_netcdftime.py
+++ b/test/tst_netcdftime.py
@@ -417,6 +417,21 @@ class netcdftimeTestCase(unittest.TestCase):
t = datetimex(2001, 12, 1, 2, 3, 4)
self.assertEqual(t, copy.deepcopy(t))
+ # issue 442
+ units = "days since 0000-01-01 00:00:00"
+ # this should fail (year zero not allowed with real-world calendars)
+ try:
+ date2num(datetime(1, 1, 1), units, calendar='standard')
+ except ValueError:
+ pass
+ # this should not fail (year zero allowed in 'fake' calendars)
+ t = date2num(datetime(1, 1, 1), units, calendar='360_day')
+ self.assertEqual(t, 360)
+ d = num2date(t, units, calendar='360_day')
+ self.assertEqual(d, datetimex(1,1,1))
+ d = num2date(0, units, calendar='360_day')
+ self.assertEqual(d, datetimex(0,1,1))
+
class TestDate2index(unittest.TestCase):
class TestTime:
diff --git a/test/tst_slicing.py b/test/tst_slicing.py
index 8011d36..c156b4c 100644
--- a/test/tst_slicing.py
+++ b/test/tst_slicing.py
@@ -192,6 +192,7 @@ class VariablesTestCase(unittest.TestCase):
shape = (9,)
data = v[keys]
assert_equal(data.shape, shape)
+ f.close()
if __name__ == '__main__':
unittest.main()
diff --git a/test/tst_utils.py b/test/tst_utils.py
index 7ce9d1f..8b67ca7 100644
--- a/test/tst_utils.py
+++ b/test/tst_utils.py
@@ -127,10 +127,10 @@ class TestgetStartCountStride(unittest.TestCase):
assert_equal(put_ind, -1)
# test conversion of a integer index array to a slice
- elem = (np.array([0]))
+ elem = (np.array([0,1]))
start, count, stride, put_ind = _StartCountStride(elem, (10,))
assert_equal(start, 0)
- assert_equal(count, 1)
+ assert_equal(count, 2)
assert_equal(stride, 1)
assert_equal(put_ind[:,0], slice(None,None,None))
diff --git a/test/tst_vlen.py b/test/tst_vlen.py
index 904394c..33dc6b3 100644
--- a/test/tst_vlen.py
+++ b/test/tst_vlen.py
@@ -15,6 +15,8 @@ nlons = 5; nlats = 5
VAR1_NAME = 'ragged'
VAR2_NAME = 'strings'
VAR3_NAME = 'strings_alt'
+VAR4_NAME = 'string_scalar'
+VAR5_NAME = 'vlen_scalar'
data = np.empty(nlats*nlons,object)
datas = np.empty(nlats*nlons,object)
nn = 0
@@ -40,11 +42,15 @@ class VariablesTestCase(unittest.TestCase):
(DIM2_NAME,DIM1_NAME))
strings_alt = f.createVariable(VAR3_NAME, datas.astype(str).dtype,
(DIM2_NAME, DIM1_NAME))
+ string_scalar = f.createVariable(VAR4_NAME,str,())
+ vlen_scalar = f.createVariable(VAR5_NAME,vlen_t,())
ragged[:] = data
ragged[-1,-1] = data[-1,-1]
strings[:] = datas
strings[-2,-2] = datas[-2,-2]
strings_alt[:] = datas.astype(str)
+ string_scalar[...] = 'foo' #issue458
+ vlen_scalar[...] = np.array([1,2,3],np.int16)
f.close()
def tearDown(self):
@@ -59,6 +65,8 @@ class VariablesTestCase(unittest.TestCase):
vs_alt = f.variables[VAR3_NAME]
assert list(f.vltypes.keys()) == [VL_NAME]
assert f.vltypes[VL_NAME].dtype == VL_BASETYPE
+ assert f.variables['string_scalar'][...] == 'foo'
+ assert_array_equal(f.variables['vlen_scalar'][...],np.array([1,2,3],np.int16))
data2 = v[:]
data2s = vs[:]
for i in range(nlons):
--
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