68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
import dataset
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import scipy
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class Project:
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def __init__(self,name="Testing"):
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self.name = name
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self.dim_names = []
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self._selection_observers = []
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self.current_data=None
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self.datasets=[]
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self.sel_obj = dataset.Selection()
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def attach(self, observer):
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"""Attach observer for selection updates"""
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if not observer in self._selection_observers:
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self._selection_observers.append(observer)
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def detach(self, observer):
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"""Detach observer for selection updates"""
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try:
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self.selection_observers.remove(observer)
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except ValueError:
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pass
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def notify(self, modifier=None):
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"""Notifies observers that selection is updated"""
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for observer in self._selection_observers:
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if modifier != observer:
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observer.update_selection(self)
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def set_selection(self,dim_name,selection):
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"""Sets selection and notifies observers"""
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self.sel_obj.current_selection[dim_name] = set(selection)
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self.notify()
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def get_selection(self):
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"""Returns the current selection object"""
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return self.sel_obj.current_selection
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def add_dataset(self,dataset):
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"""Appends a new Dataset to the project."""
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self.datasets.append(dataset)
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for dim_name in dataset.ids.keys():
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if dim_name not in self.dim_names:
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self.dim_names.append(dim_name)
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def suggest_dim_name(self,dim_name):
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"""Creates an arbitrary unique name for a new dimension."""
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while dim_name in self.dim_names:
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dim_name = dim_name + "_t"
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return dim_name
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# FIXME: Singleton project should be removed.
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c_p = Project()
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#add test data
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x = scipy.rand(2000,3)
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def_list = [ ['samples',[]], ['genes',['a','b','c']] ]
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test_data = dataset.Dataset(x,def_list)
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c_p.add_dataset(test_data)
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y = scipy.rand(2000,2)
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def_list = [ ['samples',[]], ['yclasses',['C','N']] ]
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test_data = dataset.Dataset(y,def_list)
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c_p.add_dataset(test_data)
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