modification based on review blkio and imagesequence

neo/core/imagesequence.py

@@ -183,3 +183,12 @@ def _pp(line):
                      "spatial_scale: {0}".format(self.spatial_scale)]:
             _pp(line)
 
+    def _check_consistency(self, other):
+        '''
+        Check if the attributes of another :class:`ImageSequence`
+        are compatible with this one.
+        '''
+        if isinstance(other, ImageSequence):
+            for attr in ("sampling_rate", "spatial_scale"):
+                if getattr(self, attr) != getattr(other, attr):
+                    raise ValueError("Inconsistent values of %s" % attr)

neo/io/baseio.py

@@ -20,7 +20,7 @@
                       Epoch, Event,
                       IrregularlySampledSignal,
                       ChannelIndex,
-                      Segment, SpikeTrain, Unit)
+                      Segment, SpikeTrain, Unit, ImageSequence)
 
 read_error = "This type is not supported by this file format for reading"
 write_error = "This type is not supported by this file format for writing"
@@ -157,6 +157,9 @@ def read_spiketrain(self, **kargs):
     def read_analogsignal(self, **kargs):
         assert (AnalogSignal in self.readable_objects), read_error
 
+    def read_imagesequence(self, **kargs):
+        assert (ImageSequence in self.readable_objects), read_error
+
     def read_irregularlysampledsignal(self, **kargs):
         assert (IrregularlySampledSignal in self.readable_objects), read_error
 
@@ -185,6 +188,9 @@ def write_spiketrain(self, sptr, **kargs):
     def write_analogsignal(self, anasig, **kargs):
         assert (AnalogSignal in self.writeable_objects), write_error
 
+    def write_imagesequence(self, imseq, **kargs):
+        assert (ImageSequence in self.writeable_objects), write_error
+
     def write_irregularlysampledsignal(self, irsig, **kargs):
         assert (IrregularlySampledSignal in self.writeable_objects), write_error
 

neo/io/blkio.py

@@ -274,6 +274,8 @@ def read_header(file_name):
             segment = Segment(file_origin=self.filename, description=("stim nb:"+str(stim)))
             segment.imagesequences = [image_sequence]
             segment.block = block
+            for key in header:
+                block.annotations[key] = header[key]
             block.segments.append(segment)
 
         print("returning block")