Reduced memory consumption
parent
df9e7206c2
commit
bde3658812
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@ -15,22 +15,5 @@ if __name__ == '__main__':
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c = cam.CAM(1, 100, 2)
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p = cam_parser.CAMParser('B3/S23', c)
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#c.randomize()
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# Glider Gun 9x36
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from bitarray import bitarray
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row = [1<<11
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,1<<13|1<<11
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,1<<23|1<<22|1<<15|1<<14|1<<1|1<<0
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,1<<24|1<<20|1<<15|1<<14|1<<1|1<<0
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,1<<35|1<<34|1<<25|1<<19|1<<15|1<<14
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,1<<35|1<<34|1<<25|1<<21|1<<19|1<<18|1<<13|1<<11
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,1<<25|1<<19|1<<11
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,1<<24|1<<20
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,1<<23|1<<22
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]
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for i in range(9):
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c.master.grid[35+i][12:48] = bitarray(bin(row[i])[2:].zfill(36))
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c.start(cam.CAM.Show.CONSOLE, clock=50, rules=p.ruleset)
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c.randomize()
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c.start(cam.CAM.Show.WINDOW, clock=50, rules=p.ruleset)
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@ -1,5 +1,11 @@
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import re
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import ruleset as r
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import configuration as c
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class CAMParser:
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"""
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Parsers CAM languages for quick construction of CAMs.
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Parses CAM languages for quick construction of CAMs.
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For example, when considering CAMs of life, most follow the same formula; check
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the total number of cells in a given neighborhood and if there are a certain
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@ -7,32 +13,6 @@ number around an off cell, turn it on, and vice versa. Thus the parser takes
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in a generic language regarding this and constructs the necessary functions for
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the user.
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@date: June 4th, 2015
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"""
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import re
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import ruleset as r
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import configuration as c
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class InvalidFormat(Exception):
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"""
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Called when parsing an invalid format.
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For example, in MCell and RLE, numbers should be in ascending order.
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"""
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def __init__(self, value):
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self.value = value
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def __str__(self):
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return repr(self.value)
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class CAMParser:
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"""
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The following builds rulesets based on the passed string.
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Following notation is supported:
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* MCell Notation (x/y)
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* RLE Format (By/Sx)
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@ -60,23 +40,22 @@ class CAMParser:
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if all(map(self._numasc, [x, y])):
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self.sfunc = self._mcell(x, y)
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else:
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raise InvalidFormat("Non-ascending values in MCELL format")
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raise ValueError("Non-ascending values in MCELL format")
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elif re.match(CAMParser.RLE_FORMAT, notation):
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B, S = map(lambda x: x[1:], notation.split('/'))
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if all(map(self._numasc, [B, S])):
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self.sfunc = self._mcell(S, B)
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else:
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raise InvalidFormat("Non-ascending values in RLE format")
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raise ValueError("Non-ascending values in RLE format")
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else:
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raise InvalidFormat("No supported format passed to parser.")
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raise ValueError("No supported format passed to parser.")
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# Add configuration to given CAM
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config = c.Configuration(self.sfunc, plane=cam.master, offsets=self.offsets)
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self.ruleset.configurations.append(config)
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def _numasc(self, value):
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"""
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Check the given value is a string of ascending numbers.
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@ -86,7 +65,6 @@ class CAMParser:
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else:
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return False
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def _mcell(self, x, y):
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"""
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MCell Notation
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@ -99,7 +77,7 @@ class CAMParser:
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"""
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x, y = list(map(int, x)), list(map(int, y))
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def next_state(plane, neighborhood, *args):
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if plane.grid.flat[neighborhood.flat_index][neighborhood.bit_index]:
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if plane.bits[neighborhood.flat_index]:
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return int(neighborhood.total in x)
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else:
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return int(neighborhood.total in y)
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@ -20,15 +20,15 @@ class Neighborhood:
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perform this computation in the first place (for example, if an ALWAYS_PASS flag is passed
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as opposed to a MATCH flag).
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"""
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def __init__(self, index):
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def __init__(self, flat_index):
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"""
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Initializes the center cell.
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Offsetted cells belonging in the given neighborhood must be added separately.
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"""
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self.total = 0
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self.index = index
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self.neighbors = bitarray()
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self.flat_index = flat_index
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def populate(self, plane, offsets):
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"""
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@ -40,8 +40,8 @@ class Neighborhood:
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"""
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self.neighbors = bitarray()
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for offset in offsets:
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f_index = plane.flatten(offset) + self.index
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self.neighbors.append(plane.bits[f_index % len(plane.bits)])
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index = plane.flatten(offset) + self.flat_index
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self.neighbors.append(plane.bits[index % len(plane.bits)])
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self.total = len(self.neighbors)
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@ -1,3 +1,13 @@
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import sys
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import time
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import curses
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import itertools
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as ani
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class _Display:
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"""
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Allow for displaying 2D/3D CAMs.
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@ -7,22 +17,6 @@ only supports 2D CAMs while the GUI supports 2D/3D automata.
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Both methods allow for the ability to display multiple cell planes at a time, with
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additional support for ECHOs and TRACing.
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@date: June 16th, 2015
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"""
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import sys
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import time
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import curses
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import itertools
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as ani
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class _Display:
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"""
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The base class for visualization of the CAM.
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"""
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def __init__(self, cam, clock, rules, *args):
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@ -87,7 +81,7 @@ class ConsoleDisplay(_Display):
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# Construct the necessary planes
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self.overlays = []
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for i, pl in enumerate(self.cam.planes):
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for i, plane in enumerate(self.cam.planes):
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pad = curses.newpad(self.width+1, self.height+1)
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self.overlays.append(pad)
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if i > 0:
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@ -116,7 +110,7 @@ class ConsoleDisplay(_Display):
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elif ch == curses.KEY_RIGHT:
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self.x = (self.x - 1) % self.width
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def _draw_overlay(self, overlay, pl):
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def _draw_overlay(self, overlay, plane):
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"""
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Draw the grid onto the overlay.
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@ -126,18 +120,22 @@ class ConsoleDisplay(_Display):
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overlay.clear()
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line = 0
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grid = np.append(pl.grid[self.y:], pl.grid[:self.y])
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for bits in grid.flat:
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for i in range(plane.shape[0]):
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overlay.move(line, 0)
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line += 1
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# We go through and group the bits apart so
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# Make sure to account for movement
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y_offset = ((i + self.y) % plane.shape[0]) * plane.shape[1]
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bits = plane.bits[y_offset:y_offset+plane.shape[1]]
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cycle = bits[self.x:] + bits[:self.x]
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# Draw only active states
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for k, g in itertools.groupby(cycle):
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values = list(g)
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if any(values):
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overlay.addstr('+' * len(values))
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else:
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pass
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y, x = overlay.getyx()
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overlay.move(y, x + len(values))
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@ -161,10 +159,10 @@ class ConsoleDisplay(_Display):
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self._shift(self.stdscr.getch())
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# Cycle around grid
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for i, pl in enumerate(self.cam.planes):
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if pl.dirty:
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pl.dirty = False
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self._draw_overlay(self.overlays[i], pl)
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for i, plane in enumerate(self.cam.planes):
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if plane.dirty:
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plane.dirty = False
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self._draw_overlay(self.overlays[i], plane)
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self.overlays[i].noutrefresh(0, 0, 0, 0, max_y-1, max_x-1)
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# Prepare for next loop
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@ -203,7 +201,7 @@ class WindowDisplay(_Display):
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# for proper superimposition
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self.matrices = []
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for plane in self.cam.planes:
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mshown = plt.matshow(plane.bits(), self.fig.number, cmap='Greys')
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mshown = plt.matshow(plane.matrix(), self.fig.number, cmap='Greys')
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self.matrices.append(mshown)
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def _valid(self):
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@ -223,7 +221,7 @@ class WindowDisplay(_Display):
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"""
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self.cam.tick(self.rules, *self.tick_args)
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if len(self.cam.master.shape) == 2:
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self.matrices[0].set_array(self.cam.master.bits())
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self.matrices[0].set_array(self.cam.master.matrix())
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return [self.matrices[0]]
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else:
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pass
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@ -147,9 +147,9 @@ class Plane:
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method below.
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"""
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if self.N > 0:
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max_unsigned = reduce(operator.mul, self.shape, 1)
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sequence = bin(random.randrange(0, max_unsigned))[2:]
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self.bits = bitarray(sequence.zfill(max_unsigned))
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bit_count = reduce(operator.mul, self.shape, 1)
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sequence = bin(random.randrange(0, 2**bit_count-1))[2:]
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self.bits = bitarray(sequence.zfill(bit_count))
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def flatten(self, coordinates):
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"""
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@ -1,11 +1,3 @@
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"""
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The following determines the next state of a given cell in a CAM.
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The ruleset takes in a collection of rules specifying neighborhoods, as well as the configurations of
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said neighborhood that yield an "on" or "off" state on the cell a ruleset is being applied to.
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@date: May 31st, 2015
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"""
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import enum
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import numpy as np
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import configuration as c
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@ -75,10 +67,8 @@ class Ruleset:
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# which states do not pass for each configuration
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current_states = enumerate(plane.bits)
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for config in self.configurations:
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totals = c.Neighborhood.get_totals(plane, config.offsets)
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next_states = []
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for index, state in current_states:
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totals = c.Neighborhood.get_totals(plane, config.offsets)
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# Determine which function should be used to test success
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if self.method == Ruleset.Method.MATCH:
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@ -90,6 +80,9 @@ class Ruleset:
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elif self.method == Ruleset.Method.ALWAYS_PASS:
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vfunc = lambda *args: True
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next_states = []
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for index, state in current_states:
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# Passes a mostly uninitialized neighborhood to the given function
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# Note if you need actual states of the neighborhood, make sure to
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# call the neighborhood's populate function
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@ -0,0 +1,76 @@
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import os, sys
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sys.path.insert(0, os.path.join('..', 'src'))
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import plane
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import ruleset as r
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import configuration as c
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class TestRuleset:
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"""
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"""
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def setUp(self):
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"""
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"""
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self.plane2d = plane.Plane((100, 100))
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self.config = c.Configuration(1, plane=self.plane2d, offsets={
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(-1, 0): 1,
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(-1, 1): 0,
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( 0, 1): 1,
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( 1, 1): 1,
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})
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def test_alwaysPassRuleset(self):
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"""
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"""
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# No configurations
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tmp_r = r.Ruleset(r.Ruleset.Method.ALWAYS_PASS)
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tmp_p = self.plane2d.bits.copy()
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tmp_r.apply_to(self.plane2d)
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assert tmp_p == self.plane2d.bits
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# One configuration
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tmp_r.configurations.append(self.config)
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tmp_r.apply_to(self.plane2d)
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assert tmp_p != self.plane2d.bits
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assert self.plane2d.bits.count() == 100 * 100
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def test_matchRuleset(self):
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"""
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"""
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# No configurations
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tmp_r = r.Ruleset(r.Ruleset.Method.MATCH)
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tmp_p = self.plane2d.bits.copy()
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tmp_r.apply_to(self.plane2d)
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assert tmp_p == self.plane2d.bits
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# One configuration
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tmp_r.configurations.append(self.config)
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tmp_r.apply_to(self.plane2d)
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assert tmp_p == self.plane2d.bits
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self.plane2d[[(-1, 0), (0, 1), (1, 1)]] = 1
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tmp_r.apply_to(self.plane2d)
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assert self.plane2d.bits.count() == 4
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def test_tolerateRuleset(self):
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"""
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"""
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# No configurations
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tmp_r = r.Ruleset(r.Ruleset.Method.TOLERATE)
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tmp_p = self.plane2d.bits.copy()
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tmp_r.apply_to(self.plane2d)
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assert tmp_p == self.plane2d.bits
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# One configuration
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tmp_r.configurations.append(self.config)
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tmp_r.apply_to(self.plane2d, 0.5)
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assert tmp_p == self.plane2d.bits
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self.plane2d[(-1, 0)] = 1
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tmp_r.apply_to(self.plane2d, 0.5)
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assert self.plane2d.bits.count() == 4
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