[python-hdf5storage] 55/152: Added read/write support for lists.

Ghislain Vaillant ghisvail-guest at moszumanska.debian.org
Mon Feb 29 08:24:34 UTC 2016


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ghisvail-guest pushed a commit to annotated tag 0.1
in repository python-hdf5storage.

commit bc9c847addbda82af96a91babe56adb0ba4cb071
Author: Freja Nordsiek <fnordsie at gmail.com>
Date:   Tue Jan 28 02:45:29 2014 -0500

    Added read/write support for lists.
---
 README.rst                             |  1 +
 doc/source/hdf5storage.Marshallers.rst | 26 ++++++++++++++++++++++++++
 hdf5storage/Marshallers.py             | 32 ++++++++++++++++++++++++++++++++
 3 files changed, 59 insertions(+)

diff --git a/README.rst b/README.rst
index 02238ae..79d1bcd 100644
--- a/README.rst
+++ b/README.rst
@@ -84,6 +84,7 @@ np.str\_       0.1      np.uint32           uint32   0.1 [2]_
 np.bytes\_     0.1                          char     0.1
 np.object\_    0.1                          cell     0.1
 dict           0.1                          struct   0.1 [3]_
+list           0.1      np.object\_         cell     0.1
 =============  =======  ==================  =======  ========
 
 .. [1] Converted to ASCII, so characters outside of that set are lost.
diff --git a/doc/source/hdf5storage.Marshallers.rst b/doc/source/hdf5storage.Marshallers.rst
index b2329b1..b30f3c0 100644
--- a/doc/source/hdf5storage.Marshallers.rst
+++ b/doc/source/hdf5storage.Marshallers.rst
@@ -169,3 +169,29 @@ PythonDictMarshaller
    .. autoinstanceattribute:: PythonDictMarshaller.matlab_classes
       :annotation: = ['struct']
 
+
+PythonListMarshaller
+----------------------
+
+.. autoclass:: PythonListMarshaller
+   :members: read, write
+   :show-inheritance:
+
+   .. autoinstanceattribute:: PythonListMarshaller.cpython_attributes
+      :annotation: = {'CPython.Type', 'CPython.Shape', 'CPython.Empty',
+		      'CPython.numpy.UnderlyingType',
+                      'CPython.numpy.Container'}
+
+   .. autoinstanceattribute:: PythonListMarshaller.matlab_attributes
+      :annotation: = {'H5PATH', 'MATLAB_class', 'MATLAB_empty',
+		      'MATLAB_int_decode'}
+
+   .. autoinstanceattribute:: PythonListMarshaller.types
+      :annotation: = [list]
+
+   .. autoinstanceattribute:: PythonListMarshaller.cpython_type_strings
+      :annotation: = ['list']
+
+   .. autoinstanceattribute:: PythonListMarshaller.matlab_classes
+      :annotation: = []
+
diff --git a/hdf5storage/Marshallers.py b/hdf5storage/Marshallers.py
index 4b85289..04ea6ee 100644
--- a/hdf5storage/Marshallers.py
+++ b/hdf5storage/Marshallers.py
@@ -959,3 +959,35 @@ class PythonDictMarshaller(TypeMarshaller):
             except:
                 pass
         return data
+
+
+class PythonListMarshaller(NumpyScalarArrayMarshaller):
+    def __init__(self):
+        NumpyScalarArrayMarshaller.__init__(self)
+        self.types = [list]
+        self.cpython_type_strings = ['list']
+        # As the parent class already has MATLAB strings handled, there
+        # are no MATLAB classes that this marshaller should be used for.
+        self.matlab_classes = []
+
+    def write(self, f, grp, name, data, type_string, options):
+        # data just needs to be converted to the appropriate numpy type
+        # (pass it through np.object_ to get the and then pass it to the
+        # parent version of this function. The proper type_string needs
+        # to be grabbed now as the parent function will have a modified
+        # form of data to guess from if not given the right one
+        # explicitly.
+        NumpyScalarArrayMarshaller.write(self, f, grp, name,
+                                         np.object_(data),
+                                         self.get_type_string(data,
+                                         type_string), options)
+
+    def read(self, f, grp, name, options):
+        # Use the parent class version to read it and do most of the
+        # work.
+        data = NumpyScalarArrayMarshaller.read(self, f, grp, name,
+                                               options)
+
+        # Passing it through list does all the work of making it a list
+        # again.
+        return list(data)

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