def __init__(self, images=None, rotations='', show_bonds=False, expr=None):
if not isinstance(images, Images):
images = Images(images)
self.images = images
self.observers = []
self.config = read_defaults()
if show_bonds:
self.config['show_bonds'] = True
menu = self.get_menu_data()
self.window = ui.ASEGUIWindow(close=self.exit,
menu=menu,
config=self.config,
scroll=self.scroll,
scroll_event=self.scroll_event,
press=self.press,
move=self.move,
release=self.release,
resize=self.resize)
View.__init__(self, rotations)
Status.__init__(self)
self.subprocesses = [] # list of external processes
self.movie_window = None
self.vulnerable_windows = []
self.simulation = {} # Used by modules on Calculate menu.
self.module_state = {} # Used by modules to store their state.
self.arrowkey_mode = self.ARROWKEY_SCAN
self.move_atoms_mask = None
self.set_frame(len(self.images) - 1, focus=True)
# Used to move the structure with the mouse
self.prev_pos = None
self.last_scroll_time = time()
self.orig_scale = self.scale
if len(self.images) > 1:
self.movie()
if expr is None:
expr = self.config['gui_graphs_string']
if expr is not None and expr != '' and len(self.images) > 1:
self.plot_graphs(expr=expr, ignore_if_nan=True)
def __init__(self,
images=None,
rotations='',
show_unit_cell=True,
show_bonds=False):
# Try to change into directory of file you are viewing
try:
os.chdir(os.path.split(sys.argv[1])[0])
# This will fail sometimes (e.g. for starting a new session)
except:
pass
if not images:
images = Images()
images.initialize([Atoms()])
self.images = images
self.config = read_defaults()
menu = self.get_menu_data(show_unit_cell, show_bonds)
self.window = ui.ASEGUIWindow(close=self.exit,
menu=menu,
config=self.config,
scroll=self.scroll,
scroll_event=self.scroll_event,
press=self.press,
move=self.move,
release=self.release,
resize=self.resize)
View.__init__(self, rotations)
Status.__init__(self)
self.graphs = [] # list of matplotlib processes
self.graph_wref = [] # list of weakrefs to Graph objects
self.movie_window = None
self.vulnerable_windows = []
self.simulation = {} # Used by modules on Calculate menu.
self.module_state = {} # Used by modules to store their state.
self.arrowkey_mode = self.ARROWKEY_SCAN
self.move_atoms_mask = None
def __init__(self,
queue,
signal_queue,
vbox,
window,
rotations='',
show_unit_cell=True,
show_bonds=False):
threading.Thread.__init__(self)
self.image_queue = queue
self.signal_queue = signal_queue
self.configured = False
self.ui = FakeUI.__init__(self)
self.images = Images()
self.aseGui = GUI()
#self.aseGui.images.initialize([ase.atoms.Atoms()])
self.images.initialize([ase.atoms.Atoms()])
self.killed = False
self.paused = False
self.vbox = vbox
self.window = window
self.vbox.connect('scroll-event', self.scroll_event)
self.window.connect('key-press-event', self.on_key_press)
rotations = '0.0x,0.0y,0.0z' #[3,3,3]#np.zeros(3)
self.config = {
'force_vector_scale': None,
'velocity_vector_scale': None,
'swap_mouse': False
}
View.__init__(self, rotations)
Status.__init__(self)
self.vbox.show()
if os.name == 'posix':
self.live_plot = True
else:
self.live_plot = False
#self.drawing_area.realize()
self.scaleA = 3.0
self.center = np.array([8, 8, 8])
#self.set_colors()
#self.set_coordinates(0)
self.center = np.array([0, 0, 0])
self.tofs = get_tof_names()
# history tracking arrays
self.times = []
self.tof_hist = []
self.occupation_hist = []
# prepare diagrams
self.data_plot = plt.figure()
#plt.xlabel('$t$ in s')
self.tof_diagram = self.data_plot.add_subplot(211)
self.tof_diagram.set_yscale('log')
#self.tof_diagram.get_yaxis().get_major_formatter().set_powerlimits(
#(3, 3))
self.tof_plots = []
for tof in self.tofs:
self.tof_plots.append(self.tof_diagram.plot([], [], label=tof)[0])
self.tof_diagram.legend(loc='lower left')
self.tof_diagram.set_ylabel(
'TOF in $\mathrm{s}^{-1}\mathrm{site}^{-1}$')
self.occupation_plots = []
self.occupation_diagram = self.data_plot.add_subplot(212)
for species in sorted(settings.representations):
self.occupation_plots.append(
self.occupation_diagram.plot([], [], label=species)[0], )
self.occupation_diagram.legend(loc=2)
self.occupation_diagram.set_xlabel('$t$ in s')
self.occupation_diagram.set_ylabel('Coverage')
