* system/fluents.py: Fixed a bug where the the application tried to load
a toolbar from None * system/plots.py: Fixed MainView.insert_view that was a no-op when in large view. * system/dataset.py: Changed __str__ of dataset to also show names of dimensions.
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		| @@ -1,4 +1,3 @@ | ||||
| from system import logger | ||||
| from scipy import atleast_2d,asarray,ArrayType | ||||
|  | ||||
|  | ||||
| @@ -55,7 +54,6 @@ class Dataset: | ||||
|             self.shape = array.shape | ||||
|             if shape != None: | ||||
|                 if self.shape!=shape: | ||||
|                     #logger.log("debug","Dataset and input shape mismatch") | ||||
|                     raise ValueError, "Differing in array and provided. %s != %s" % (self.shape, shape) | ||||
|             if identifiers!=None: | ||||
|                 self._set_identifiers(identifiers,all_dims) | ||||
| @@ -71,8 +69,8 @@ class Dataset: | ||||
|  | ||||
|         self._all_dims = all_dims | ||||
|                          | ||||
|     def __str__self(self): | ||||
|         return self._name | ||||
|     def __str__(self): | ||||
|         return self._name + ":" + self._dims.__str__() | ||||
|  | ||||
|     def __iter__(self): | ||||
|         """Returns an iterator over dimensions of dataset.""" | ||||
| @@ -193,7 +191,6 @@ class Dataset: | ||||
|             reverse[value] = key | ||||
|         return [self._map[dim][key] for key in idents] | ||||
|       | ||||
|  | ||||
| class CategoryDataset(Dataset): | ||||
|     """The category dataset class. | ||||
|  | ||||
| @@ -247,3 +244,4 @@ class Selection: | ||||
|     """Handles selected identifiers along each dimension of a dataset""" | ||||
|     def __init__(self): | ||||
|         self.current_selection={} | ||||
|  | ||||
|   | ||||
| @@ -97,8 +97,12 @@ class FluentApp: | ||||
|         window = self.widget_tree.get_widget('plot_toolbar_dock') | ||||
|         if self._plot_toolbar: | ||||
|             window.remove(self._plot_toolbar) | ||||
|              | ||||
|         self._plot_toolbar = view.get_toolbar() | ||||
|          | ||||
|         if view:     | ||||
|             self._plot_toolbar = view.get_toolbar() | ||||
|         else: | ||||
|             self._plot_toolbar = None | ||||
|  | ||||
|         if self._plot_toolbar: | ||||
|             window.add(self._plot_toolbar) | ||||
|  | ||||
| @@ -127,6 +131,8 @@ class FluentApp: | ||||
|         return self.navigator_view | ||||
|  | ||||
|     # Event handlers. | ||||
|     # These methods are called by the gtk framework in response to events and | ||||
|     # should not be called directly. | ||||
|  | ||||
|     def on_single_view(self, *ignored): | ||||
|         self['main_view'].goto_large() | ||||
|   | ||||
| @@ -207,7 +207,10 @@ class MainView (gtk.Notebook): | ||||
|         self.set_current_page(0) | ||||
|  | ||||
|     def insert_view(self, view): | ||||
|         vf = self.get_active_small_view() | ||||
|         if self.get_current_page() == 0: | ||||
|             vf = self.get_active_small_view() | ||||
|         else: | ||||
|             vf = self._large_view | ||||
|         vf.set_view(view) | ||||
|          | ||||
|     def show(self): | ||||
|   | ||||
| @@ -5,11 +5,11 @@ from system import dataset, logger, plots, workflow | ||||
| from scipy import array,randn,log | ||||
| import cPickle | ||||
| 
 | ||||
| class GOWorkflow (workflow.Workflow): | ||||
| class TestWorkflow (workflow.Workflow): | ||||
| 
 | ||||
|     name = 'Gene Ontology Workflow' | ||||
|     ident = 'go' | ||||
|     description = 'Gene Ontology Workflow. This workflow currently serves as a general testing workflow.' | ||||
|     name = 'Test Workflow' | ||||
|     ident = 'test' | ||||
|     description = 'Test Gene Ontology Workflow. This workflow currently serves as a general testing workflow.' | ||||
| 
 | ||||
|     def __init__(self, app): | ||||
|         workflow.Workflow.__init__(self, app) | ||||
| @@ -102,7 +102,8 @@ class TestDataFunction(workflow.Function): | ||||
|         logger.log('notice', 'Injecting foo test data') | ||||
|         x = randn(20,30) | ||||
|         X = dataset.Dataset(x) | ||||
|         return [X, plots.SinePlot()] | ||||
|         p = plots.ScatterPlot(X, X, 'rows', 'rows', '0_1', '0_2') | ||||
|         return [X, plots.SinePlot(), p] | ||||
| 
 | ||||
| class DatasetLog(workflow.Function): | ||||
|     def __init__(self): | ||||
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