1 files changed, 130 insertions, 0 deletions
diff --git a/silx/gui/hdf5/test/_mock.py b/silx/gui/hdf5/test/_mock.py
new file mode 100644
index 0000000..eada590
--- /dev/null
+++ b/silx/gui/hdf5/test/_mock.py
@@ -0,0 +1,130 @@
+# coding: utf-8
+# /*##########################################################################
+#
+# Copyright (c) 2016-2017 European Synchrotron Radiation Facility
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#
+# ###########################################################################*/
+"""Mock for silx.gui.hdf5 module"""
+
+__authors__ = ["V. Valls"]
+__license__ = "MIT"
+__date__ = "12/04/2017"
+
+
+import numpy
+try:
+    import h5py
+except ImportError:
+    h5py = None
+
+
+class Node(object):
+
+    def __init__(self, basename, parent, h5py_class):
+        self.basename = basename
+        self.h5py_class = h5py_class
+        self.attrs = {}
+        self.parent = parent
+        if parent is not None:
+            self.parent._add(self)
+
+    @property
+    def name(self):
+        if self.parent is None:
+            return self.basename
+        if self.parent.name == "":
+            return self.basename
+        return self.parent.name + "/" + self.basename
+
+    @property
+    def file(self):
+        if self.parent is None:
+            return self
+        return self.parent.file
+
+
+class Group(Node):
+    """Mock an h5py Group"""
+
+    def __init__(self, name, parent, h5py_class=h5py.Group):
+        super(Group, self).__init__(name, parent, h5py_class)
+        self.__items = {}
+
+    def _add(self, node):
+        self.__items[node.basename] = node
+
+    def __getitem__(self, key):
+        return self.__items[key]
+
+    def __iter__(self):
+        for k in self.__items:
+            yield k
+
+    def __len__(self):
+        return len(self.__items)
+
+    def get(self, name, getclass=False, getlink=False):
+        result = self.__items[name]
+        if getclass:
+            return result.h5py_class
+        return result
+
+    def create_dataset(self, name, data):
+        return Dataset(name, self, data)
+
+    def create_group(self, name):
+        return Group(name, self)
+
+    def create_NXentry(self, name):
+        group = Group(name, self)
+        group.attrs["NX_class"] = "NXentry"
+        return group
+
+
+class File(Group):
+    """Mock an h5py File"""
+
+    def __init__(self, filename):
+        super(File, self).__init__("", None, h5py.File)
+        self.filename = filename
+
+
+class Dataset(Node):
+    """Mock an h5py Dataset"""
+
+    def __init__(self, name, parent, value):
+        super(Dataset, self).__init__(name, parent, h5py.Dataset)
+        self.__value = value
+        self.shape = self.__value.shape
+        self.dtype = self.__value.dtype
+        self.size = self.__value.size
+        self.compression = None
+        self.compression_opts = None
+
+    def __getitem__(self, key):
+        if not isinstance(self.__value, numpy.ndarray):
+            if key == tuple():
+                return self.__value
+            elif key == Ellipsis:
+                return numpy.array(self.__value)
+            else:
+                raise ValueError("Bad key")
+        return self.__value[key]