def boardFromArray(arr):
# creates board from numpy 1/0 array
y, x = arr.shape
board = create_blank(x,y) # includes 1-cell border set to 0
for j in range(y):
for i in range(x):
board[j][i] = arr[j][i] == 1
return board
def __init__(self, board, random=False):
self.board = board
if random:
self.candidate = tools.create_random(board["x_size"],
board["y_size"])
else:
self.candidate = tools.create_blank(board["x_size"],
board["y_size"])
self.initialize_neediness()
self.initialize_weighting()
self.initialize_impact()
def __init__(self, board, random=False):
self.board = board
if random:
self.candidate = tools.create_random(board["x_size"],
board["y_size"])
else:
self.candidate = tools.create_blank(board["x_size"],
board["y_size"])
self.initialize_neediness()
self.initialize_weighting()
self.initialize_impact()
def initUI(self):
if not self.pattern:
self.pattern = tools.create_blank(7, 7)
self.grid = QtGui.QGridLayout()
self.grid.setSpacing(1)
for i in range(self.pattern["x_size"]):
for j in range(self.pattern["y_size"]):
cell = Cell(i, j, self.pattern)
self.grid.addWidget(cell, j, i)
self.setLayout(self.grid)
def __init__(self, board):
'''Create the basic objects needed for the search.
self.board is the target board, self.candidate is the current candidate
to be tested and modified, self.needy is a matrix of how bad a shape each
cell is in, self.total_needy is a sum of the values of self.needy, and
self.impact is a matrix of how beneficial flipping each cell would be.
self.minima is used to store known minima for the Pogo algorithm. It is
initialized here mostly so I don't have to check for it every time I run
use_pogo().
'''
self.board = board
self.candidate = tools.create_random(board["x_size"], board["y_size"])
self.candidate = tools.create_blank(board["x_size"], board["y_size"])
self.needy, self.total_needy = self.initialize_neediness()
self.impact = self.initialize_impact()
self.minima = {}
def __init__(self, board):
'''Create the basic objects needed for the search.
self.board is the target board, self.candidate is the current candidate
to be tested and modified, self.needy is a matrix of how bad a shape each
cell is in, self.total_needy is a sum of the values of self.needy, and
self.impact is a matrix of how beneficial flipping each cell would be.
self.minima is used to store known minima for the Pogo algorithm. It is
initialized here mostly so I don't have to check for it every time I run
use_pogo().
'''
self.board = board
self.candidate = tools.create_random(board["x_size"],
board["y_size"])
self.candidate = tools.create_blank(board["x_size"],
board["y_size"])
self.needy, self.total_needy = self.initialize_neediness()
self.impact = self.initialize_impact()
self.minima = {}
def cleared(self):
new = tools.create_blank(self.board.pattern["x_size"], self.board.pattern["y_size"])
mainw.central = centralArea(new)
mainw.setCentralWidget(mainw.central)
mainw.update()
