def __init__(self):
### initialize grid, agent, obstacles, etc.,
self.width = 6
self.height = 6
self.grid = BlockGrid(self.height, self.width, fill=(234, 123, 234))
# decide on obstacle and goal locations
self.obstacles = [[1, 2], [3, 4], [2, 3],
[2, 1]] # impenetrable obstacle locations
self.goal = [4, 4] # goal block
self.player = [1, 1] # initial location player
# enumerate states based on obstacle locations
self.states = []
for i in range(self.grid.height):
for j in range(self.grid.width):
block = [i, j]
if block not in self.obstacles and block not in self.goal:
self.states.append(str(i) + str(j))
# initialize Q^* matrix
self.Q_star = np.zeros((self.grid.width**2 - len(self.obstacles), 5))
# initialize action choices
self.action_choices = [[-1, 0], [0, -1], [1, 0], [0, 1], [0, 0]]
def vizarray(x, cmap=None, scale=None, vmin=None, vmax=None, block_size=None):
"""Visualize a NumPy array using ipythonblocks."""
if not (x.ndim == 2 or x.ndim == 1):
raise TypeError('This function only works with 1 or 2 dimensional arrays')
global _cmap, _scale, _vmin, _vmax, _block_size
cmap = cmap if cmap is not None else _cmap
scale = scale if scale is not None else _scale
vmin = vmin if vmin is not None else _vmin
vmax = vmax if vmax is not None else _vmax
block_size = block_size if block_size is not None else _block_size
base = x.base if x.base is not None else None
data = x.copy()
if scale:
n = colors.Normalize(vmin=vmin, vmax=vmax)
if base is not None:
n.autoscale(base)
data = n(data)
if data.ndim == 1:
rows = 1
cols = data.shape[0]
bg = BlockGrid(cols, rows, block_size=block_size)
for col in range(cols):
bg[0,col] = _value_to_color(data[col], cmap)
elif data.ndim == 2:
rows = data.shape[0]
cols = data.shape[1]
bg = BlockGrid(cols, rows, block_size=block_size)
for row in range(rows):
for col in range(cols):
bg[row, col] = _value_to_color(data[row, col], cmap)
return bg
def __init__(self, width=5, height=5):
super(CleanupPuzzleEnvironment, self).__init__()
self.width = width
self.height = height
self.bg_color = (207, 216, 220)
self.ball_color = (0, 191, 165)
self.click_color = (244, 67, 54)
self.grid = BlockGrid(width, height, fill=self.bg_color)
def swiss_flag(n_rows=10, n_cols=10):
red = (255, 0, 0)
white = (255, 255, 255)
screen = BlockGrid(n_cols, n_rows, fill=(255, 0, 0))
screen.lines_on = False
screen[2:8, 4:6] = white
screen[4:6, 2:8] = white
return screen
def show_as_blocks(self):
block_size = 100
grid = BlockGrid(self._number, 1, block_size=block_size)
for block, color in zip(grid, self._colors):
block.rgb = color
grid.show()
def __init__(self, width=10, height=10, boundary=True, color={}, display=False):
"""Define all the usual XYEnvironment characteristics,
but initialise a BlockGrid for GUI too."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
def get(self, hash_id):
grid_spec = dbi.get_grid_entry(hash_id, secret=self.secret)
if not grid_spec:
self.send_error(404)
return
gd = grid_spec['grid_data']
grid = BlockGrid(gd['width'], gd['height'], lines_on=gd['lines_on'])
grid._load_simple_grid(gd['blocks'])
grid_html = grid._repr_html_()
code_cells = grid_spec['code_cells'] or []
code_cells = [colorize(c) for c in code_cells]
self.render('grid.html', grid_html=grid_html, code_cells=code_cells)
def draw_points(points, color=red):
screen = BlockGrid(SCREEN_COLS, SCREEN_ROWS, fill=black)
for p in points:
r = p[0]
c = p[1]
if 0 <= r < screen.height and 0 <= c < screen.width:
screen[r, c] = color
return screen
def voirListeVoeu(voeuxClasses):
nbVoeux = len(voeuxClasses)
grille = BlockGrid(nbVoeux, 1, fill=(200, 200, 200))
for i, voeu in enumerate(voeuxClasses):
typeCandidat = voeu["type"]
couleur = couleursTypeCandidat[typeCandidat]
grille[0, i].set_colors(*couleur)
return grille
def __init__(self,
width=10,
height=10,
boundary=True,
color={},
display=False):
"""Defina todas las características habituales del entorno XY,
pero inicialice un BlockGrid para GUI también."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
def dibujaTablero(self, fichasGanadoras=None):
"""Dibuja en formato grafico en ipython, el tablero que se le pasa,
si se le pasa una lista con fichas ganadoras, las resalta en amarillo."""
grid = BlockGrid(width=self.colmax, height=self.filmax, block_size=25, lines_on=True)
for fil in range(grid.height):
for col in range(grid.width):
if fichasGanadoras and [fil, col] in fichasGanadoras:
grid[fil, col] = colors['Yellow']
continue
if self.tablero[fil][col] == 1:
grid[fil, col] = colors['Red']
elif self.tablero[fil][col] == -1:
grid[fil, col] = colors['Green']
else:
grid[fil, col] = colors['Black']
grid.show()
def show_as_blocks(self, block_size=100):
"""
Show colors in the IPython Notebook using ipythonblocks.
Parameters
----------
block_size : int, optional
Size of displayed blocks.
"""
from ipythonblocks import BlockGrid
grid = BlockGrid(self.number, 1, block_size=block_size)
for block, color in zip(grid, self.colors):
block.rgb = color
grid.show()
def show_as_blocks(self, block_size=100):
"""
Show colors in the IPython Notebook using ipythonblocks.
Parameters
----------
block_size : int, optional
Size of displayed blocks.
"""
from ipythonblocks import BlockGrid
grid = BlockGrid(self.number, 1, block_size=block_size)
for block, color in zip(grid, self.colors):
block.rgb = color
grid.show()
def color_grid(self):
# remake + recolor grid
self.grid = BlockGrid(self.width, self.height, fill=(234, 123, 234))
# color obstacles
for i in range(len(self.obstacles)):
self.grid[self.obstacles[i][0], self.obstacles[i][1]].red = 0
# make and color goal
self.grid[self.goal[0], self.goal[1]].green = 255
self.grid[self.goal[0], self.goal[1]].red = 0
self.grid[self.goal[0], self.goal[1]].blue = 0
# color player location
self.grid[self.player[0], self.player[1]].green = 0
self.grid[self.player[0], self.player[1]].red = 0
self.grid[self.player[0], self.player[1]].blue = 0
self.grid.show()
def boules_vers_grid(boules: Boules) -> BlockGrid:
n = len(boules)
grid = BlockGrid(n, 1, fill=(c_blanc))
for i, boule in enumerate(boules):
if boule == BLEU:
grid[0, i].set_colors(*c_bleu)
elif boule == BLANC:
grid[0, i].set_colors(*c_blanc)
elif boule == ROUGE:
grid[0, i].set_colors(*c_rouge)
return grid
def chess_board(n_rows=8, n_cols=8, fg=None, bg=None):
if not bg:
bg = colors['black']
if not fg:
fg = colors['yellow']
screen = BlockGrid(n_cols, n_rows, fill=bg)
for row in range(n_rows):
for col in range(n_cols):
if (row + col) % 2 == 0:
screen[row, col] = fg
return screen
def __init__(self, width=10, height=10, boundary=True, color={}, display=False):
"""Define all the usual XYEnvironment characteristics,
but initialise a BlockGrid for GUI too."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
class CleanupPuzzleEnvironment(Environment):
def __init__(self, width=5, height=5):
super(CleanupPuzzleEnvironment, self).__init__()
self.width = width
self.height = height
self.bg_color = (207, 216, 220)
self.ball_color = (0, 191, 165)
self.click_color = (244, 67, 54)
self.grid = BlockGrid(width, height, fill=self.bg_color)
def __str__(self):
world = self.get_world()
self.draw_grid(world)
self.grid.show()
return ''
def draw_grid(self, world):
self.grid[:] = self.bg_color
for x in range(0, len(world)):
for y in range(0, len(world[x])):
if len(world[x][y]) and isinstance(world[x][y][0], Ball):
self.grid[x, y] = self.ball_color
elif len(world[x][y]) and isinstance(world[x][y][0], Click):
self.grid[x, y] = self.click_color
def get_world(self):
'''returns the items in the world'''
result = []
for x in range(self.height):
row = []
for y in range(self.width):
row.append(self.list_things_at((x, y)))
result.append(row)
return result
def is_inbounds(self, location):
'''Checks to make sure that the location is inbounds'''
x, y = location
return not (x < 0 or x >= self.height or y < 0 or y >= self.width)
def calcGrid(resList, anchors, rad):
"""
Makes a visualization using ipython blocks of the locations of each resource in resList in a world. Anchors is a list of tuples
denoting where to anchor the circles. Rad is and int indicating the radius of the circles.
"""
world = []
grid = BlockGrid(args.worldSize, args.worldSize)
for i in range(args.worldSize):
world.append([])
for j in range(args.worldSize):
world[i].append(set())
for i in range(args.worldSize):
for j in range(args.worldSize):
for k in range(len(anchors)):
if (dist((i,j), anchors[k])) <= rad-1:
world[i][j].add(resList[k][3:-1])
entropy = 0
niches = {}
for i in range(args.worldSize):
for j in range(args.worldSize):
greenVal = 0.0
blueVal = 0.0
redVal = 0.0
colorDict = {"AND":(255, 0, 0), "OR":(0, 255, 0), "ORN":(0,0,255), "ANDN":(255, 255, 0), "XOR":(255,0,255), "NOR":(0, 255, 255), "NOT":(255, 155, 0), "NAND":(255, 255, 255)}
for res in world[i][j]:
redVal += colorDict[res][0]
greenVal += colorDict[res][1]
blueVal += colorDict[res][2]
if len(world[i][j]) > 0:
redVal/=len(world[i][j])
greenVal /= len(world[i][j])
blueVal /= len(world[i][j])
grid[i,j].red = redVal
grid[i,j].green = greenVal
grid[i,j].blue = blueVal
grid.lines_on = False
return grid
def draw_1(color=red):
screen = BlockGrid(SCREEN_COLS, SCREEN_ROWS, fill=black)
screen[1, 1] = color
screen[0, 2] = color
screen[1, 2] = color
screen[2, 2] = color
screen[3, 2] = color
screen[4, 2] = color
screen[5, 2] = color
screen[6, 2] = color
screen[6, 1] = color
screen[6, 3] = color
return screen
def calcNResGrid(resList, anchors, rad):
"""
Makes a visualization using ipython blocks of the number resources in each location in a world.
resList is a list of strings indicating which resources to place in the world.
Anchors is a list of tuples denoting where to anchor the circles.
Rad is an int indicating the radius of the circles.
"""
world = []
grid = BlockGrid(args.worldSize, args.worldSize)
for i in range(args.worldSize):
world.append([])
for j in range(args.worldSize):
world[i].append(0)
for i in range(args.worldSize):
for j in range(args.worldSize):
for k in range(len(anchors)):
if (dist((i,j), anchors[k])) <= rad-1:
world[i][j] += 1
entropy = 0
niches = {}
for i in range(args.worldSize):
for j in range(args.worldSize):
arr = np.zeros((1,1,3))
if float(world[i][j]) != 0:
arr[0,0,0] = (float(world[i][j]/10.0)*.6)
else:
arr[0,0,0] = 0
arr[0,0,1] = 1
arr[0,0,2] = 1
rgb = matplotlib.colors.hsv_to_rgb(arr)
grid[i,j].red = rgb[0,0,0]*255
grid[i,j].green = rgb[0,0,1]*255
grid[i,j].blue = rgb[0,0,2]*255
grid.lines_on = False
return grid
def show_selection(self, s_block):
"""Show a coloured table highlighting the selection"""
grid = BlockGrid(self.ncols,
self.nrows,
fill=colors['LightGray'],
block_size=15)
if hasattr(s_block, '__array__'):
# ipython blocks does not support boolean indexing
rows, cols = np.nonzero(s_block)
for row, col in zip(rows, cols):
grid[int(row), int(col)] = colors['LightGreen']
else:
grid[s_block] = colors['LightGreen']
return grid
class GraphicEnvironment(XYEnvironment):
def __init__(self, width=10, height=10, boundary=True, color={}, display=False):
"""Define all the usual XYEnvironment characteristics,
but initialise a BlockGrid for GUI too."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
def get_world(self):
"""Returns all the items in the world in a format
understandable by the ipythonblocks BlockGrid."""
result = []
x_start, y_start = (0, 0)
x_end, y_end = self.width, self.height
for x in range(x_start, x_end):
row = []
for y in range(y_start, y_end):
row.append(self.list_things_at([x, y]))
result.append(row)
return result
"""
def run(self, steps=1000, delay=1):
"" "Run the Environment for given number of time steps,
but update the GUI too." ""
for step in range(steps):
sleep(delay)
if self.visible:
self.reveal()
if self.is_done():
if self.visible:
self.reveal()
return
self.step()
if self.visible:
self.reveal()
"""
def run(self, steps=1000, delay=1):
"""Run the Environment for given number of time steps,
but update the GUI too."""
for step in range(steps):
self.update(delay)
if self.is_done():
break
self.step()
self.update(delay)
def update(self, delay=1):
sleep(delay)
if self.visible:
self.conceal()
self.reveal()
else:
self.reveal()
def reveal(self):
"""Display the BlockGrid for this world - the last thing to be added
at a location defines the location color."""
self.draw_world()
self.grid.show()
self.visible = True
def draw_world(self):
self.grid[:] = (200, 200, 200)
world = self.get_world()
for x in range(0, len(world)):
for y in range(0, len(world[x])):
if len(world[x][y]):
self.grid[y, x] = self.colors[world[x][y][-1].__class__.__name__]
def conceal(self):
"""Hide the BlockGrid for this world"""
self.visible = False
display(HTML(''))
class my_gridworld():
def __init__(self):
### initialize grid, agent, obstacles, etc.,
self.width = 6
self.height = 6
self.grid = BlockGrid(self.height, self.width, fill=(234, 123, 234))
# decide on obstacle and goal locations
self.obstacles = [[1, 2], [3, 4], [2, 3],
[2, 1]] # impenetrable obstacle locations
self.goal = [4, 4] # goal block
self.player = [1, 1] # initial location player
# enumerate states based on obstacle locations
self.states = []
for i in range(self.grid.height):
for j in range(self.grid.width):
block = [i, j]
if block not in self.obstacles and block not in self.goal:
self.states.append(str(i) + str(j))
# initialize Q^* matrix
self.Q_star = np.zeros((self.grid.width**2 - len(self.obstacles), 5))
# initialize action choices
self.action_choices = [[-1, 0], [0, -1], [1, 0], [0, 1], [0, 0]]
def color_grid(self):
# remake + recolor grid
self.grid = BlockGrid(self.width, self.height, fill=(234, 123, 234))
# color obstacles
for i in range(len(self.obstacles)):
self.grid[self.obstacles[i][0], self.obstacles[i][1]].red = 0
# make and color goal
self.grid[self.goal[0], self.goal[1]].green = 255
self.grid[self.goal[0], self.goal[1]].red = 0
self.grid[self.goal[0], self.goal[1]].blue = 0
# color player location
self.grid[self.player[0], self.player[1]].green = 0
self.grid[self.player[0], self.player[1]].red = 0
self.grid[self.player[0], self.player[1]].blue = 0
self.grid.show()
# make rewards array -
def make_rewards(self):
# create reward matrix
R = -1 * np.ones((5, 5))
R[goal[0], goal[1]] = 1000
for i in range(len(obstacles)):
R[obstacles[i][0], obstacles[i][1]] = 0
## Q-learning function
def qlearn(self, gamma):
num_episodes = 1000
num_complete = 0
# loop over episodes, for each run simulation and update Q
for n in range(num_episodes):
# pick random initialization - make sure its not an obstacle or goal
obstical_free = 0
loc = 0
while obstical_free == 0:
loc = [
np.random.randint(self.grid.width),
np.random.randint(self.grid.height)
]
if loc not in self.obstacles:
obstical_free = 1
# update Q matrix while loc != goal
steps = 0
max_steps = 200
while steps < max_steps and loc != self.goal:
# choose action - left = 0, right = 1, up = 2, down = 3, 4 = stay still
k = np.random.randint(5)
loc2 = [sum(x) for x in zip(loc, self.action_choices[k])]
# check that new location within grid boundaries, if trying to go outside boundary -- either way can't move there! So just place -1 for this location in Q
if loc2[0] > self.grid.width - 1 or loc2[0] < 0 or loc2[
1] > self.grid.height - 1 or loc2[
1] < 0 or loc2 in self.obstacles:
# don't move location
ind_old = self.states.index(str(loc[0]) + str(loc[1]))
self.Q_star[ind_old, k] = -1
else:
# we have a valid movement, if new state is goal set reward to 1000, otherwise set it to 0
r_k = 0
if loc2 == self.goal:
r_k = int(1000)
# update Q* matrix
ind_old = self.states.index(str(loc[0]) + str(loc[1]))
ind_new = self.states.index(str(loc2[0]) + str(loc2[1]))
self.Q_star[ind_old,
k] = r_k + gamma * max(self.Q_star[ind_new, :])
# update current location - one we just moved too
loc = loc2
# update counter
steps += 1
print 'q-learning process complete'
# print out
def show_qmat(self):
df = pd.DataFrame(self.Q_star,
columns=['up', 'down', 'left', 'right', 'still'],
index=self.states)
print df.round(3)
# animate the player based on completed Q-learning cycle
def animate_movement(self, loc):
# show movement based on an initial
self.player = loc # initial agent location
self.color_grid()
time.sleep(0.3)
display.clear_output(wait=True)
# if you chose an invalid starting position, break out and try again
if loc in self.obstacles or loc == self.goal or loc[
0] > self.grid.width - 1 or loc[0] < 0 or loc[
1] > self.grid.height - 1 or loc[1] < 0:
print 'initialization is an obstacle or goal, initialize again'
else:
# now use the learned Q* matrix to run from any (valid) initial point to the goal
count = 0
max_count = self.grid.width * self.grid.height
while count < max_count:
# find next state using max Q* value
ind_old = self.states.index(
str(self.player[0]) + str(self.player[1]))
# find biggest value in Q* and determine block location
action_ind = np.argmax(self.Q_star[ind_old, :])
action = self.action_choices[action_ind]
# move player to new location and recolor
self.player = [sum(x) for x in zip(self.player, action)]
# clear current screen for next step
self.color_grid()
time.sleep(0.3)
if self.player == self.goal:
break
display.clear_output(wait=True)
count += 1
class GraphicEnvironment(XYEnvironment):
def __init__(self,
width=10,
height=10,
boundary=True,
color={},
display=False):
"""define all the usual XYEnvironment characteristics,
but initialise a BlockGrid for GUI too"""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
#def list_things_at(self, location, tclass=Thing): # need to override because locations
# """Return all things exactly at a given location."""
# return [thing for thing in self.things
# if thing.location == location and isinstance(thing, tclass)]
def get_world(self):
"""Returns all the items in the world in a format
understandable by the ipythonblocks BlockGrid"""
result = []
x_start, y_start = (0, 0)
x_end, y_end = self.width, self.height
for x in range(x_start, x_end):
row = []
for y in range(y_start, y_end):
row.append(self.list_things_at([x, y]))
result.append(row)
return result
"""def run(self, steps=1000, delay=1):
"" "Run the Environment for given number of time steps,
but update the GUI too." ""
for step in range(steps):
sleep(delay)
if self.visible:
self.reveal()
if self.is_done():
if self.visible:
self.reveal()
return
self.step()
if self.visible:
self.reveal()
"""
def run(self, steps=1000, delay=1):
"""Run the Environment for given number of time steps,
but update the GUI too."""
for step in range(steps):
self.update(delay)
if self.is_done():
break
self.step()
self.update(delay)
def update(self, delay=1):
sleep(delay)
if self.visible:
self.conceal()
self.reveal()
else:
self.reveal()
def reveal(self):
"""display the BlockGrid for this world - the last thing to be added
at a location defines the location color"""
#print("Grid={}".format(self.grid))
self.draw_world()
#if not self.visible == True:
# self.grid.show()
self.grid.show()
self.visible == True
def draw_world(self):
self.grid[:] = (200, 200, 200)
world = self.get_world()
#print("world {}".format(world))
for x in range(0, len(world)):
for y in range(0, len(world[x])):
if len(world[x][y]):
self.grid[y, x] = self.colors[world[x][y]
[-1].__class__.__name__]
#print('location: ({}, {}) got color: {}'
#.format(y, x, self.colors[world[x][y][-1].__class__.__name__]))
def conceal(self):
"""hide the BlockGrid for this world"""
self.visible = False
display(HTML(''))
def pBlockGrid2(df, fill=(123, 234, 123), *args, **kwargs):
(y, x) = df.shape
b = BlockGrid(x, y, fill=fill, **kwargs)
return b
def pBlockGrid(df):
(y, x) = df.shape
return BlockGrid(x, y)
class GraphicEnvironment(XYEnvironment):
def __init__(self,
width=10,
height=10,
boundary=True,
color={},
display=False):
"""Defina todas las características habituales del entorno XY,
pero inicialice un BlockGrid para GUI también."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
def get_world(self):
"""Devuelve todos los artículos del mundo en un formato
comprensible por el bloque de cuadrícula ipythonblocks."""
result = []
x_start, y_start = (0, 0)
x_end, y_end = self.width, self.height
for x in range(x_start, x_end):
row = []
for y in range(y_start, y_end):
row.append(self.list_things_at([x, y]))
result.append(row)
return result
def run(self, steps=1000, delay=1):
"""Ejecute el entorno durante un número determinado de pasos de tiempo,
pero actualiza la GUI también."""
for step in range(steps):
sleep(delay)
if self.visible:
self.reveal()
if self.is_done():
if self.visible:
self.reveal()
return
self.step()
if self.visible:
self.reveal()
"""def run(self, steps=1000, delay=1):
"Ejecute el entorno durante un número determinado de pasos de tiempo,
pero actualiza la GUI también."
for step in range(steps):
self.update(delay)
if self.is_done():
break
self.step()
self.update(delay)"""
def update(self, delay=1):
sleep(delay)
if self.visible:
self.conceal()
self.reveal()
else:
self.reveal()
def reveal(self):
"""Muestre BlockGrid para este mundo: lo último que se agregará
en una ubicación define el color de la ubicación."""
self.draw_world()
self.grid.show()
self.visible = True
def draw_world(self):
self.grid[:] = (200, 200, 200)
world = self.get_world()
for x in range(0, len(world)):
for y in range(0, len(world[x])):
if len(world[x][y]):
self.grid[y, x] = self.colors[world[x][y]
[-1].__class__.__name__]
def conceal(self):
"""Ocultar el BlockGrid para este mundo"""
self.visible = False
display(HTML(''))
avg + (new / 100.0) for avg, new in zip(average_landings, board)
]
average_landings = [avg / 10.0 for avg in average_landings]
print('Probability (%) of landing on...')
print('Reading Railroad:\t', average_landings[reading_rr])
print('Pennsylvania Railroad:\t', average_landings[pennsylvania_rr])
print('B. & O. Railroad:\t', average_landings[bo_rr])
print('Short Line Railroad:\t', average_landings[shortline_rr])
print('GO:\t\t\t', average_landings[go])
print('Mediterranean Avenue:\t', average_landings[mediterranean])
print('Boardwalk:\t\t', average_landings[boardwalk])
width = 11
height = 11
grid = BlockGrid(width=width, height=height, fill=(209, 194, 111))
# Set up palette
tups = [(elt, p) for elt, p in zip(range(0, board_squares), average_landings)]
tups.sort(key=lambda x: x[1], reverse=True)
ranks = [(rank, elt[0], elt[1])
for rank, elt in zip(range(0, board_squares), tups)]
palette = [0] * board_squares
for i in range(0, board_squares):
idx = ranks[i][1]
palette[idx] = ranks[i][0] * 6.25
# Paint edges
# Top row
for i in range(0, width):
colour = palette[20 + i]
from ipythonblocks import BlockGrid grid = BlockGrid(10, 10, fill=(123, 234, 123)) grid
import time
SCREEN_ROWS = 7
SCREEN_COLS = 5
colors = {
'black': (0, 0, 0),
'white': (255, 255, 255),
'red': (255, 0, 0),
'yellow': (255, 255, 0),
}
black = colors['black']
red = colors['red']
screen = BlockGrid(SCREEN_COLS, SCREEN_ROWS, fill=black)
def erase(screen, color=black):
screen[:, :] = color
def draw_1(color=red):
screen = BlockGrid(SCREEN_COLS, SCREEN_ROWS, fill=black)
screen[1, 1] = color
screen[0, 2] = color
screen[1, 2] = color
screen[2, 2] = color
screen[3, 2] = color
screen[4, 2] = color
screen[5, 2] = color
class GraphicEnvironment(XYEnvironment):
def __init__(self,
width=10,
height=10,
boundary=True,
color={},
display=False):
"""Define all the usual XYEnvironment characteristics,
but initialise a BlockGrid for GUI too."""
super().__init__(width, height)
self.grid = BlockGrid(width, height, fill=(200, 200, 200))
if display:
self.grid.show()
self.visible = True
else:
self.visible = False
self.bounded = boundary
self.colors = color
def get_world(self):
"""Returns all the items in the world in a format
understandable by the ipythonblocks BlockGrid."""
result = []
x_start, y_start = (0, 0)
x_end, y_end = self.width, self.height
for x in range(x_start, x_end):
row = []
for y in range(y_start, y_end):
row.append(self.list_things_at([x, y]))
result.append(row)
return result
"""
def run(self, steps=1000, delay=1):
"" "Run the Environment for given number of time steps,
but update the GUI too." ""
for step in range(steps):
sleep(delay)
if self.visible:
self.reveal()
if self.is_done():
if self.visible:
self.reveal()
return
self.step()
if self.visible:
self.reveal()
"""
def run(self, steps=1000, delay=1):
"""Run the Environment for given number of time steps,
but update the GUI too."""
for step in range(steps):
self.update(delay)
if self.is_done():
break
self.step()
self.update(delay)
def update(self, delay=1):
sleep(delay)
if self.visible:
self.conceal()
self.reveal()
else:
self.reveal()
def reveal(self):
"""Display the BlockGrid for this world - the last thing to be added
at a location defines the location color."""
self.draw_world()
self.grid.show()
self.visible = True
def draw_world(self):
self.grid[:] = (200, 200, 200)
world = self.get_world()
for x in range(0, len(world)):
for y in range(0, len(world[x])):
if len(world[x][y]):
self.grid[y, x] = self.colors[world[x][y]
[-1].__class__.__name__]
def conceal(self):
"""Hide the BlockGrid for this world"""
self.visible = False
display(HTML(''))
from PIL import Image
im = Image.open('StarNight.jpg')
im.size
im = im.resize((125, 100), Image.ANTIALIAS)
#Getdata() method gives an iterable sequence of RGB tuples starting at the top left image pixel and going down row by row
imdata = im.getdata()
#organize data structures
import os
import itertools
with open('starry_night.txt', 'w') as f:
s = [
'# width height', '{0} {1}'.format(im.size[0],
im.size[1]), '# block size', '4',
'# initial color', '0 0 0', '# row column red green blue'
]
f.write(os.linesep.join(s) + os.linesep)
for ((row, col), colors) in zip(
itertools.product(range(im.size[1]), range(im.size[0])), imdata):
things = [str(x) for x in (row, col) + colors]
f.write(' '.join(things + ['\n']))
from ipythonblocks import BlockGrid
grid = BlockGrid(125, 100, block_size=4, lines_on=False)
for block, colors in zip(grid, imdata):
block.rgb = colors
grid
