CANVAS_BACKGROUND_COLOUR = 'white'
# Think frames per seconds, just a milliseconds value of how often to refresh
# the page
SCREEN_REFRESH = 500
# Create the canvas with given sizes
canvas = Canvas(root,
width = MATRIX_WIDTH,
height = MATRIX_HEIGHT,
bg=CANVAS_BACKGROUND_COLOUR)
canvas.pack()
###############################################################################
test_graph = Graph(NODE_NUM_H, NODE_NUM_W, NODE_SIZE, canvas)
test_graph.render()
# TODO: Pass in a tuple instead of a fixed value. It makes no sense for the value to
# just be one term for a 2D list, instead the Graph should receive a tuple to access the
# node positions.
# this should be roughly the center, 20th col in 20th row.
def unique_list(input):
"""
# TODO: unique_list - info about function
- what's it's input
- whats it's output
- why is a keyword used :P
canvas = Canvas(root,
width = MATRIX_WIDTH,
height = MATRIX_HEIGHT,
bg=CANVAS_BACKGROUND_COLOUR)
canvas.pack()
###############################################################################
# TODO: If the robot is set to the edge of the screen the search values will
# overlap (like snake or something bleeding over). Also when this happens teh
# reset method doesn't work.
# Position for the robot to start at while testing
robot_tuple = (35,20)
test_graph = Graph(NODE_NUM_H, NODE_NUM_W, NODE_SIZE, canvas)
test_graph.render()
test_graph.place_robot(robot_tuple)
###############################################################################
def reset_values(t, b, r):
"""Takes input of top and bottom tuples for the search graph and resets them
to the robot position.
"""
t = (r[0], r[1])
b = (r[0], r[1])
return t, b
###############################################################################
# Set up the environment with canvas to use
# CREATE MAIN TKINTER ROOT
root = Tk()
canvas = Canvas(root,
width=G.canvas_width,
height=G.canvas_height,
bg=G.canvas_background_colour)
canvas.pack()
# create a graph instance
simulation_graph = Graph(G.matrix_size, G.matrix_size, G.node_size, canvas)
G.random_robot_start_position()
simulation_graph.render()
simulation_graph.place_robot(G.robot_start_position)
###############################################################################
# robot and item_node positions
start_pos = G.robot_start_position
# TODO: This is how many items want to be found by the program. if this is set
# to 1 then only one item is found, if it's set to 4 then 4 will be found etc.
items_to_find = 10
###############################################################################
# Set up the environment with canvas to use
# CREATE MAIN TKINTER ROOT
root = Tk()
canvas = Canvas(root,
width = G.canvas_width,
height = G.canvas_height,
bg=G.canvas_background_colour)
canvas.pack()
# create a graph instance
simulation_graph = Graph(G.matrix_size,
G.matrix_size,
G.node_size,
canvas)
G.random_robot_start_position()
simulation_graph.render()
simulation_graph.place_robot(G.robot_start_position)
###############################################################################
# robot and item_node positions
start_pos = G.robot_start_position
# TODO: This is how many items want to be found by the program. if this is set
# to 1 then only one item is found, if it's set to 4 then 4 will be found etc.
items_to_find = 10
canvas = Canvas(root,
width=MATRIX_WIDTH,
height=MATRIX_HEIGHT,
bg=CANVAS_BACKGROUND_COLOUR)
canvas.pack()
###############################################################################
# TODO: If the robot is set to the edge of the screen the search values will
# overlap (like snake or something bleeding over). Also when this happens teh
# reset method doesn't work.
# Position for the robot to start at while testing
robot_tuple = (35, 20)
test_graph = Graph(NODE_NUM_H, NODE_NUM_W, NODE_SIZE, canvas)
test_graph.render()
test_graph.place_robot(robot_tuple)
###############################################################################
def reset_values(t, b, r):
"""Takes input of top and bottom tuples for the search graph and resets them
to the robot position.
"""
t = (r[0], r[1])
b = (r[0], r[1])
return t, b