445 lines
17 KiB
Python
445 lines
17 KiB
Python
import gtk
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import gobject
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import plots
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import time
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import fluents
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from logger import logger
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import dataset, plots, project, workflow, main
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import scipy
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class NavigatorView (gtk.TreeView):
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"""The NavigatorView is a tree view of the project.
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There is always one NavigatorView, that shows the functions, plots and
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datasets in the current project.
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"""
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def __init__(self):
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if main.project:
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self.data_tree = main.project.data_tree
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else:
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self.data_tree = None
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gtk.TreeView.__init__(self)
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# Various properties
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self.set_enable_tree_lines(True)
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self.set_headers_visible(False)
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self.get_hadjustment().set_value(0)
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# Selection Mode
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self.get_selection().set_mode(gtk.SELECTION_MULTIPLE)
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self.get_selection().connect('changed',self.on_selection_changed)
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self._previous_selection = []
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# Setting up TextRenderers etc
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self.connect('row_activated', self.on_row_activated)
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self.connect('cursor_changed', self.on_cursor_changed)
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# Activate context menu
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self.menu = NavigatorMenu(self)
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self.connect('popup_menu', self.popup_menu)
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self.connect('button_press_event', self.on_mouse_event)
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self.textrenderer = textrenderer = gtk.CellRendererText()
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pixbufrenderer = gtk.CellRendererPixbuf()
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self.object_col = gtk.TreeViewColumn('Object')
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self.object_col.pack_start(pixbufrenderer,expand=False)
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self.object_col.pack_start(textrenderer,expand=False)
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self.object_col.set_attributes(textrenderer, cell_background=3,
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foreground=4, text=0)
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self.object_col.set_attributes(pixbufrenderer, pixbuf=5)
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self.append_column(self.object_col)
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# send events to plots / itself
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self.enable_model_drag_source(gtk.gdk.BUTTON1_MASK,
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[("GTK_TREE_MODEL_ROW", gtk.TARGET_SAME_APP, 7)],
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gtk.gdk.ACTION_LINK | gtk.gdk.ACTION_MOVE)
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self.connect("drag-data-get",self.slot_drag_data)
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logger.debug('Initializing navigator window.')
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def slot_drag_data(self, treeview, context, selection, target_id, etime):
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"""Sets the data for a drag event."""
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treeselection = treeview.get_selection()
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model, paths = treeselection.get_selected_rows()
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if paths:
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self.data_tree.drag_data_get(paths[0], selection)
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def add_project(self, project):
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"""Dependency injection."""
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self.data_tree = project.data_tree
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self.set_model(project.data_tree)
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self.data_tree.connect('row-changed',self.on_row_changed)
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def on_selection_changed(self, selection):
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"""Update the list of currently selected datasets."""
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# update prev selection right away in case of multiple events
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model, paths = selection.get_selected_rows()
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if not paths: # a plot is marked: do nothing
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return
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tmp = self._previous_selection
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self._previous_selection = paths
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tree = self.data_tree
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# set timestamp on newly selected objects
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[tree.set_value(tree.get_iter(path), 6, time.time())
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for path in paths if path not in tmp]
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objs = [tree.get_iter(path) for path in paths]
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objs = [(tree[iter][6], tree[iter][2]) for iter in objs]
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objs.sort()
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objs = [obj for timestamp, obj in objs]
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if objs and isinstance(objs[0], dataset.Dataset):
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logger.debug('Selecting dataset')
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main.project.current_data = objs
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else:
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logger.debug('Deselecting dataset')
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main.project.current_data = []
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def on_row_changed(self, treestore, pos, iter):
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"""Set correct focus and colours when rows have changed."""
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obj = treestore[iter][2]
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obj_type = treestore[iter][1]
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if not (obj or obj_type):
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return
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self.expand_to_path(pos)
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if isinstance(obj, dataset.Dataset):
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self.set_cursor(pos)
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self.grab_focus()
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def on_row_activated(self, widget, path, column):
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tree_iter = self.data_tree.get_iter(path)
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obj = self.data_tree.get_value(tree_iter, 2)
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if isinstance(obj, plots.Plot):
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logger.debug('Activating plot')
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main.application.change_plot(obj)
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elif isinstance(obj, dataset.Dataset):
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pass
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elif obj == None:
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children = []
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i = self.data_tree.iter_children(tree_iter)
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while i:
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child = self.data_tree.get(i, 2)[0]
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if isinstance(child, plots.Plot):
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children.append(child)
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i = self.data_tree.iter_next(i)
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main.application.change_plots(children)
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else:
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t = type(obj)
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logger.notice('Activated datatype was %s. Don\'t know what to do.' % t)
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def popup_menu(self, *rest):
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self.menu.popup(None, None, None, 0, 0)
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def on_mouse_event(self, widget, event):
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path = widget.get_path_at_pos(int(event.x), int(event.y))
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if path:
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iter = self.data_tree.get_iter(path[0])
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obj = self.data_tree.get_value(iter, 2)
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else:
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iter = None
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obj = None
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if isinstance(obj, dataset.Dataset):
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self.menu.set_dataset(obj, iter)
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else:
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self.menu.set_dataset(None, iter)
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if event.button == 3:
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self.menu.popup(None, None, None, event.button, event.time)
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def on_cursor_changed(self, widget):
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"""Update statusbar to contain dataset information.
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Lists the dimensions of a dataset in the statusbar of the program
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if a dataset is focused in the navigator.
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"""
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path = widget.get_cursor()[0]
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tree_iter = self.data_tree.get_iter(path)
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obj = self.data_tree.get_value(tree_iter, 2)
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if isinstance(obj, dataset.Dataset):
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dims = zip(obj.get_dim_name(), obj.shape)
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dim_text = ", ".join(["%s (%d)" % dim for dim in dims])
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else:
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dim_text = ""
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main.application['appbar1'].push(dim_text)
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class NavigatorMenu(gtk.Menu):
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def __init__(self, navigator):
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gtk.Menu.__init__(self)
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self.navigator = navigator
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self.dataset = None
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self.tree_iter = None
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# Populate main menu
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self.load_item = gtk.MenuItem('Load dataset')
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self.load_item.connect('activate', self.on_load_dataset, navigator)
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self.append(self.load_item)
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self.load_item.show()
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self.save_item = gtk.MenuItem('Save dataset')
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self.save_item.connect('activate', self.on_save_dataset, navigator)
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self.append(self.save_item)
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self.save_item.show()
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self.delete_item = gtk.MenuItem('Delete')
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self.delete_item.connect('activate', self.on_delete, navigator)
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self.append(self.delete_item)
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self.delete_item.show()
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self.split_item = gtk.MenuItem('Split on selection')
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self.split_item.connect('activate', self.on_split, navigator)
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self.append(self.split_item)
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self.split_item.show()
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# Build transform sub menu
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self.trans_menu = gtk.Menu()
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self.trans_tr_item = gtk.MenuItem('Transpose')
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self.trans_tr_item.connect('activate', self.on_transpose, navigator)
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self.trans_menu.append(self.trans_tr_item)
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self.trans_tr_item.show()
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self.trans_stdr_item = gtk.MenuItem('Std. rows')
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self.trans_stdr_item.connect('activate', self.on_standardise_rows, navigator)
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self.trans_menu.append(self.trans_stdr_item)
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self.trans_stdr_item.show()
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self.trans_stdc_item = gtk.MenuItem('Std. cols')
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self.trans_stdc_item.connect('activate', self.on_standardise_cols, navigator)
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self.trans_menu.append(self.trans_stdc_item)
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self.trans_stdc_item.show()
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self.trans_log_item = gtk.MenuItem('Log')
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self.trans_log_item.connect('activate', self.on_log, navigator)
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self.trans_menu.append(self.trans_log_item)
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self.trans_log_item.show()
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self.trans_item = gtk.MenuItem("Transformation")
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self.append(self.trans_item)
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self.trans_item.set_submenu(self.trans_menu)
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self.trans_item.show()
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# Build plot sub menu
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self.plot_menu = gtk.Menu()
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self.plot_image_item = gtk.MenuItem('Image Plot')
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self.plot_image_item.connect('activate', self.on_plot_image, navigator)
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self.plot_menu.append(self.plot_image_item)
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self.plot_image_item.show()
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self.plot_hist_item = gtk.MenuItem('Histogram')
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self.plot_hist_item.connect('activate', self.on_plot_hist, navigator)
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self.plot_menu.append(self.plot_hist_item)
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self.plot_hist_item.show()
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self.plot_scatter_item = gtk.MenuItem('Scatter')
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self.plot_scatter_item.connect('activate', self.on_plot_scatter, navigator)
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self.plot_menu.append(self.plot_scatter_item)
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self.plot_scatter_item.show()
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self.plot_line_item = gtk.MenuItem('Line view')
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self.plot_line_item.connect('activate', self.on_plot_line, navigator)
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self.plot_menu.append(self.plot_line_item)
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self.plot_line_item.show()
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self.plot_item = gtk.MenuItem('Plot')
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self.append(self.plot_item)
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self.plot_item.set_submenu(self.plot_menu)
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self.plot_item.show()
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def set_dataset(self, ds, it):
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self.dataset = ds
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self.tree_iter = it
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if ds == None:
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self.save_item.set_property('sensitive', False)
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self.plot_item.set_property('sensitive', False)
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self.trans_item.set_property('sensitive', False)
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else:
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self.save_item.set_property('sensitive', True)
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self.plot_item.set_property('sensitive', True)
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self.trans_item.set_property('sensitive', True)
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def load_dataset(self, filename):
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"""Load the dataset from the given file and add it to the project."""
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ds = dataset.read_ftsv(filename)
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if isinstance(ds, dataset.GraphDataset):
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icon = fluents.icon_factory.get("graph_dataset")
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elif isinstance(ds, dataset.CategoryDataset):
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icon = fluents.icon_factory.get("category_dataset")
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else:
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icon = fluents.icon_factory.get("dataset")
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main.project.add_dataset(ds)
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main.project.data_tree_insert(None, ds.get_name(), ds, None, "black", icon)
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def on_load_dataset(self, item, navigator):
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# Set up file chooser.
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dialog = gtk.FileChooserDialog('Load dataset')
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dialog.set_action(gtk.FILE_CHOOSER_ACTION_OPEN)
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dialog.add_buttons(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
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gtk.STOCK_OPEN, gtk.RESPONSE_OK)
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dialog.set_select_multiple(True)
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dialog.set_current_folder(main.options.datadir)
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retval = dialog.run()
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if retval in [gtk.RESPONSE_CANCEL, gtk.RESPONSE_DELETE_EVENT]:
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pass
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elif retval == gtk.RESPONSE_OK:
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for filename in dialog.get_filenames():
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self.load_dataset(filename)
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else:
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print "unknown; ", retval
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dialog.destroy()
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def on_save_dataset(self, item, navigator):
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dialog = gtk.FileChooserDialog('Save dataset')
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dialog.set_action(gtk.FILE_CHOOSER_ACTION_SAVE)
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dialog.add_buttons(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL, gtk.STOCK_SAVE, gtk.RESPONSE_OK)
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dialog.set_current_name("%s.ftsv" % self.dataset.get_name())
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retval = dialog.run()
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if retval in [gtk.RESPONSE_CANCEL, gtk.RESPONSE_DELETE_EVENT]:
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logger.debug("Cancelled save dataset")
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elif retval == gtk.RESPONSE_OK:
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logger.debug("Saving dataset as: %s" % dialog.get_filename())
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fd = open(dialog.get_filename(), 'w')
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dataset.write_ftsv(fd, self.dataset)
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fd.close()
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else:
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print "unknown; ", retval
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dialog.destroy()
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def on_delete(self, item, navigator):
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tm, rows = navigator.get_selection().get_selected_rows()
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iters = [tm.get_iter(r) for r in rows]
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iters.reverse()
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for i in iters:
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main.project.delete_data(i)
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# tm.remove(i)
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def on_plot_image(self, item, navigator):
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plot = plots.ImagePlot(self.dataset, name='Image Plot')
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icon = fluents.icon_factory.get("line_plot")
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main.project.data_tree_insert(self.tree_iter, 'Image Plot', plot, None, "black", icon)
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# fixme: image plot selections are not well defined
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#plot.set_selection_listener(project.set_selection)
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#project._selection_observers.append(plot)
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def on_plot_hist(self, item, navigator):
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project = main.project
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plot = plots.HistogramPlot(self.dataset, name='Histogram')
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icon = fluents.icon_factory.get("line_plot")
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project.data_tree_insert(self.tree_iter, 'Histogram', plot, None, "black", icon)
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plot.set_selection_listener(project.set_selection)
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project._selection_observers.append(plot)
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def on_plot_scatter(self, item, navigator):
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project = main.project
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datasets = main.project.current_data
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ds_major = datasets[0]
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dims_major = ds_major.get_dim_name()
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ids_major = ds_major.get_identifiers(dims_major[1])
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if len(datasets)>1:
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# If there is more than one active dataset -> try to use the two first
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ds_minor = datasets[1]
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dims_minor = ds_minor.get_dim_name()
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if dims_minor != dims_major or ds_minor.shape[0] != ds_major.shape[0]:
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# the selected datasets are not matched -> use initial selected
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ds_minor = ds_major
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else:
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#Only one dataset selected
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ds_minor = ds_major
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plot = plots.ScatterPlot(ds_major, ds_minor,
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dims_major[0], dims_major[1],
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ids_major[0], ids_major[1],
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name='Scatter (%s)' % ds_major.get_name())
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plot.add_axes_spin_buttons(len(ids_major), 0, 1)
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icon = fluents.icon_factory.get("line_plot")
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project.data_tree_insert(self.tree_iter, 'Scatter', plot, None, "black", icon)
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plot.set_selection_listener(project.set_selection)
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project._selection_observers.append(plot)
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def on_plot_line(self, item, navigator):
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project = main.project
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ds = self.dataset
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dims = ds.get_dim_name()
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ids = ds.get_identifiers(dims[1])
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plot = plots.LineViewPlot(ds, name='Line (%s)' % ds.get_name())
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icon = fluents.icon_factory.get("line_plot")
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project.data_tree_insert(self.tree_iter, 'Line view', plot, None, "black", icon)
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plot.set_selection_listener(project.set_selection)
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project._selection_observers.append(plot)
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def on_transpose(self, item, navigator):
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project = main.project
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ds = self.dataset.transpose()
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ds._name = ds._name + ".T"
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icon = fluents.icon_factory.get(ds)
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project.data_tree_insert(self.tree_iter, ds.get_name(), ds, None, "black", icon)
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def on_standardise_rows(self, item, navigator):
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project = main.project
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ds = self.dataset.copy()
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ds._name = self.dataset._name + ".rsc"
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axis = 1
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ds._array = ds.asarray()/scipy.expand_dims(ds.asarray().std(axis), axis)
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icon = fluents.icon_factory.get(ds)
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project.data_tree_insert(self.tree_iter, ds.get_name(), ds, None, "black", icon)
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def on_standardise_cols(self, item, navigator):
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project = main.project
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ds = self.dataset.copy()
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ds._name = self.dataset._name + ".csc"
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axis = 0
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ds._array = ds.asarray()/scipy.expand_dims(ds.asarray().std(axis), axis)
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icon = fluents.icon_factory.get(ds)
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project.data_tree_insert(self.tree_iter, ds.get_name(), ds, None, "black", icon)
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def on_log(self, item, navigator):
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project = main.project
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try:
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if not scipy.all(self.dataset.asarray()>0):
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raise ValueError
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except:
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logger.log('warning', 'Datasets needs to be strictly positive for a log transform')
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return
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ds = self.dataset.copy()
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ds._array = scipy.log(ds.asarray())
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icon = fluents.icon_factory.get(ds)
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ds._name = ds._name + ".log"
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project.data_tree_insert(self.tree_iter, ds.get_name(), ds, None, "black", icon)
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def on_split(self, item, navigator):
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if self.dataset is None:
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logger.warn("Only datasets can be split.")
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return
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dim = self.dataset.get_dim_name(0)
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project = main.project
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sel_ids = set(project.get_selection()[dim])
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sel_ds = self.dataset.subdata(dim, sel_ids)
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unsel_ids = set(self.dataset.get_identifiers(dim)) - set(sel_ids)
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unsel_ds = self.dataset.subdata(dim, unsel_ids)
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icon = fluents.icon_factory.get(self.dataset)
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project.data_tree_insert(self.tree_iter, 'Selected', sel_ds, None, "black", icon)
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project.data_tree_insert(self.tree_iter, 'Unselected', unsel_ds, None, "black", icon)
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