class GridExplorerRenderer(render.Renderer):
def __init__(self, window, grid, datalog = None, size = (800, 800), offset = (0, 0), margin = 10):
render.Renderer.__init__(self, window, size = size, offset = offset, margin = margin)
self.window = window
sub_size = ((self.size[0] - 100)/2, (self.size[1] - 100)/2)
g_offset = (offset[0], offset[1] + sub_size[1] + 100)
p_offset = (offset[0] + sub_size[0] + 100, offset[1])
self.datalog = datalog
if self.datalog is not None:
self.effects = PointCloudRenderer(window, grid.bounds, datalog.effects, color = (138,155, 15), size = sub_size, offset = offset, margin = margin)
self.goals = PointCloudRenderer(window, grid.bounds, datalog.goals, color = (189, 21, 80), size = sub_size, offset = g_offset, margin = margin)
#self.predictions = PointCloudRenderer(window, grid.bounds, datalog.predictions, color = (233,127, 2), size = sub_size, offset = p_offset, margin = margin)
self.grid = grid
self.cellgfx = cell_gfx.CellRenderer(self.window, None, size = (400, 700), offset = (1000, 100))
self.e_st = GridRenderer(window, self.grid, cell_gfx = self.cellgfx, size = sub_size, offset = offset, margin = margin, color = (150, 150, 150))
self.g_st = GridRenderer(window, self.grid, cell_gfx = self.cellgfx, size = sub_size, offset = g_offset, margin = margin, color = (150, 150, 150), draw_interest = True)
#self.p_st = GridRenderer(window, self.grid, cell_gfx = self.cellgfx, size = sub_size, offset = p_offset, margin = margin, color = (150, 150, 150), draw_interest = True)
def draw(self):
self.e_st.draw()
self.g_st.draw()
#self.p_st.draw()
if self.cellgfx is not None:
self.cellgfx.draw()
if self.datalog is not None:
self.effects.draw()
self.goals.draw()
def __init__(self,
window,
grid,
datalog=None,
size=(800, 800),
offset=(0, 0),
margin=10):
render.Renderer.__init__(self,
window,
size=size,
offset=offset,
margin=margin)
self.window = window
sub_size = ((self.size[0] - 100) / 2, (self.size[1] - 100) / 2)
g_offset = (offset[0], offset[1] + sub_size[1] + 100)
p_offset = (offset[0] + sub_size[0] + 100, offset[1])
self.datalog = datalog
if self.datalog is not None:
self.effects = PointCloudRenderer(window,
grid.bounds,
datalog.effects,
color=(138, 155, 15),
size=sub_size,
offset=offset,
margin=margin)
self.goals = PointCloudRenderer(window,
grid.bounds,
datalog.goals,
color=(189, 21, 80),
size=sub_size,
offset=g_offset,
margin=margin)
#self.predictions = PointCloudRenderer(window, grid.bounds, datalog.predictions, color = (233,127, 2), size = sub_size, offset = p_offset, margin = margin)
self.grid = grid
self.cellgfx = cell_gfx.CellRenderer(self.window,
None,
size=(400, 700),
offset=(1000, 100))
self.e_st = GridRenderer(window,
self.grid,
cell_gfx=self.cellgfx,
size=sub_size,
offset=offset,
margin=margin,
color=(150, 150, 150))
self.g_st = GridRenderer(window,
self.grid,
cell_gfx=self.cellgfx,
size=sub_size,
offset=g_offset,
margin=margin,
color=(150, 150, 150),
draw_interest=True)
def __init__(self, window, cellrider, datalog = None, size = (800, 800), offset = (0, 0), margin = 10):
render.Renderer.__init__(self, window, size = size, offset = offset, margin = margin)
self.window = window
sub_size = ((self.size[0] - 100)/2, (self.size[1] - 100)/2)
g_offset = (offset[0], offset[1] + sub_size[1] + 100)
p_offset = (offset[0] + sub_size[0] + 100, offset[1])
self.datalog = datalog
if self.datalog is not None:
self.effects = PointCloudRenderer(window, cellrider.bounds, datalog.effects, color = (138,155, 15), size = sub_size, offset = offset, margin = margin)
self.goals = PointCloudRenderer(window, cellrider.bounds, datalog.goals, color = (189, 21, 80), size = sub_size, offset = g_offset, margin = margin)
self.predictions = PointCloudRenderer(window, cellrider.bounds, datalog.predictions, color = (233,127, 2), size = sub_size, offset = p_offset, margin = margin)
#try:
self.splittree = cellrider.celltree.splittree
self.cellgfx = cell_gfx.CellRenderer(self.window, None, size = (400, 700), offset = (1000, 100))
self.e_st = SplitTreeRenderer(window, self.splittree, cell_gfx = self.cellgfx, size = sub_size, offset = offset, margin = margin, color = (150, 150, 150))
self.g_st = SplitTreeRenderer(window, self.splittree, cell_gfx = self.cellgfx, size = sub_size, offset = g_offset, margin = margin, color = (150, 150, 150))
self.p_st = SplitTreeRenderer(window, self.splittree, cell_gfx = self.cellgfx, size = sub_size, offset = p_offset, margin = margin, color = (150, 150, 150))
class CellRiderRenderer(render.Renderer):
def __init__(self,
window,
cellrider,
datalog=None,
size=(800, 800),
offset=(0, 0),
margin=10):
render.Renderer.__init__(self,
window,
size=size,
offset=offset,
margin=margin)
self.window = window
sub_size = ((self.size[0] - 100) / 2, (self.size[1] - 100) / 2)
g_offset = (offset[0], offset[1] + sub_size[1] + 100)
p_offset = (offset[0] + sub_size[0] + 100, offset[1])
self.datalog = datalog
if self.datalog is not None:
self.effects = PointCloudRenderer(window,
cellrider.bounds,
datalog.effects,
color=(138, 155, 15),
size=sub_size,
offset=offset,
margin=margin)
self.goals = PointCloudRenderer(window,
cellrider.bounds,
datalog.goals,
color=(189, 21, 80),
size=sub_size,
offset=g_offset,
margin=margin)
self.predictions = PointCloudRenderer(window,
cellrider.bounds,
datalog.predictions,
color=(233, 127, 2),
size=sub_size,
offset=p_offset,
margin=margin)
#try:
self.splittree = cellrider.celltree.splittree
self.cellgfx = cell_gfx.CellRenderer(self.window,
None,
size=(400, 700),
offset=(1000, 100))
self.e_st = SplitTreeRenderer(window,
self.splittree,
cell_gfx=self.cellgfx,
size=sub_size,
offset=offset,
margin=margin,
color=(150, 150, 150))
self.g_st = SplitTreeRenderer(window,
self.splittree,
cell_gfx=self.cellgfx,
size=sub_size,
offset=g_offset,
margin=margin,
color=(150, 150, 150))
self.p_st = SplitTreeRenderer(window,
self.splittree,
cell_gfx=self.cellgfx,
size=sub_size,
offset=p_offset,
margin=margin,
color=(150, 150, 150))
#except AttributeError:
# self.splittree = None
def draw(self):
if self.splittree is not None:
self.e_st.draw()
self.g_st.draw()
self.p_st.draw()
if self.cellgfx is not None:
self.cellgfx.draw()
if self.datalog is not None:
self.effects.draw()
self.goals.draw()
self.predictions.draw()
