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@ -22,6 +22,7 @@ DATADIR = os.path.dirname(sys.modules['fluents'].__file__)
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ICONDIR = os.path.join(DATADIR,"..","icons")
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GLADEFILENAME = os.path.join(DATADIR, 'fluents.glade')
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class IconFactory:
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"""Factory for icons that ensures that each icon is only loaded once."""
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@ -43,6 +44,7 @@ class IconFactory:
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icon_factory = IconFactory(ICONDIR)
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class TableSizeSelection(gtk.Window):
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def __init__(self):
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@ -60,9 +60,7 @@ class Workflow:
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description = "Workflow Description"
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def __init__(self):
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print "Setting stages"
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self.stages = []
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self.stages_by_id = {}
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def get_data_file_name(self, filename):
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"""Checks if a file with the given name exists in the data directory.
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@ -79,7 +77,7 @@ class Workflow:
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def add_stage(self, stage):
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self.stages.append(stage)
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self.stages_by_id[stage.id] = stage
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#self.stages_by_id[stage.id] = stage
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def print_tree(self):
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print self.name
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@ -109,11 +107,9 @@ class Stage:
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self.id = id
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self.name = name
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self.tasks = []
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self.tasks_by_id = {}
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def add_task(self, task):
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self.tasks.append(task)
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#self.tasks_by_id[task.id] = task
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class Task:
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@ -151,7 +147,6 @@ class Validation:
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class WorkflowView (gtk.VBox):
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def __init__(self, wf):
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gtk.VBox.__init__(self)
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self.workflow = wf
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@ -201,8 +196,7 @@ class WorkflowView (gtk.VBox):
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return
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task_result = task.run()
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if task_result != None:
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main.project.add_data(parent_data, task_result, task.name)
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else:
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@ -1,11 +1,11 @@
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import gtk
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from fluents import dataset, logger, plots, workflow
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#import geneontology
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#import gostat
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from scipy import array, randn, log, ones, newaxis
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import cPickle
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import networkx
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class TestWorkflow (workflow.Workflow):
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name = 'Test Workflow'
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@ -15,15 +15,14 @@ class TestWorkflow (workflow.Workflow):
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def __init__(self):
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workflow.Workflow.__init__(self)
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load = workflow.Stage('load', 'Test Data')
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load.add_task(TestDataTask)
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load.add_task(TestPlot)
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self.add_stage(load)
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test_stage = workflow.Stage('test', 'Test Data')
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test_stage.tasks.append(TestDataTask)
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test_stage.tasks.append(TestPlot)
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self.stages.append(test_stage)
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class TestDataTask(workflow.Task):
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name = "Test data"
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def __init__(self, input):
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workflow.Task.__init__(self, input)
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@ -56,10 +55,10 @@ class TestPlot(workflow.Task):
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workflow.Task.__init__(self, input)
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def run(self):
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logger.log('notice', 'Injecting foo test data')
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x = randn(500,15)
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X = dataset.Dataset(x)
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ii = X.get_dim_name()
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p = plots.ScatterPlot(X, X, ii[0], ii[0], '0_1', '0_2',name='scatter')
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#logger.log('notice', 'Injecting % dataset') %self.input[0].get_name()
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X = self.input[0]
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ii = X.get_dim_name()[0]
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ids = X.get_identifiers(ii, indices=[0,1])
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p = plots.ScatterPlot(X, X, ii, ii, ids[0], ids[1],name='scatter')
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return [p]
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