def update_events(self, dt, event):
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
self.end_state()
if event.key == pygame.K_1:
self.tile_color = constants.BLACK
if event.key == pygame.K_2:
self.tile_color = constants.RED
if event.key == pygame.K_3:
self.tile_color = constants.GREEN
if event.key == pygame.K_4:
self.tile_color = constants.BLUE
if event.key == pygame.K_5:
self.tile_color = constants.LIGHT_RED
if event.key == pygame.K_6:
self.tile_color = constants.LIGHT_GREEN
if event.key == pygame.K_7:
self.tile_color = constants.LIGHT_YELLOW
if event.key == pygame.K_8:
self.tile_color = constants.GREY
if event.key == pygame.K_c:
self.tiles.empty()
if event.key == pygame.K_s:
with open("data", "wb") as f:
dill.load_types(unpickleable=True)
print(dill.detect.badobjects(self.selected_tile))
dill.dump(self.selected_tile, f)
# Copyright (c) 2008-2016 California Institute of Technology.
# Copyright (c) 2016-2017 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - http://trac.mystic.cacr.caltech.edu/project/pathos/browser/dill/LICENSE
"""
use objgraph to plot the reference paths for types found in dill.types
"""
#XXX: useful if could read .pkl file and generate the graph... ?
import dill as pickle
#pickle.debug.trace(True)
#import pickle
# get all objects for testing
from dill import load_types
load_types(pickleable=True, unpickleable=True)
from dill import objects
if __name__ == "__main__":
import sys
if len(sys.argv) != 2:
print("Please provide exactly one type name (e.g. 'IntType')")
msg = "\n"
for objtype in list(objects.keys())[:40]:
msg += objtype + ', '
print(msg + "...")
else:
objtype = str(sys.argv[-1])
obj = objects[objtype]
try:
import objgraph
# Copyright (c) 2008-2016 California Institute of Technology.
# License: 3-clause BSD. The full license text is available at:
# - http://trac.mystic.cacr.caltech.edu/project/pathos/browser/dill/LICENSE
"""
demonstrate dill's ability to pickle different python types
test pickling of all Python Standard Library objects (currently: CH 1-14 @ 2.7)
"""
import dill as pickle
pickle.settings['recurse'] = True
#pickle.debug.trace(True)
#import pickle
# get all objects for testing
from dill import load_types, objects, extend
load_types(pickleable=True, unpickleable=False) #FIXME: pypy
# Traceback (most recent call last):
# File "dill/_objects.py", line 264, in <module>
# a['MemberDescriptorType'] = type.__dict__['__weakrefoffset__']
# KeyError: '__weakrefoffset__'
#load_types(pickleable=True,unpickleable=True)
# uncomment the next two lines to test cloudpickle
#extend(False)
#import cloudpickle as pickle
# helper objects
class _class:
def _method(self):
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
# Copyright (c) 2008-2015 California Institute of Technology.
# License: 3-clause BSD. The full license text is available at:
# - http://trac.mystic.cacr.caltech.edu/project/pathos/browser/dill/LICENSE
"""
demonstrate dill's ability to pickle different python types
test pickling of all Python Standard Library objects (currently: CH 1-14 @ 2.7)
"""
import dill as pickle
#pickle.debug.trace(True)
#import pickle
# get all objects for testing
from dill import load_types
load_types(pickleable=True,unpickleable=False)
#load_types(pickleable=True,unpickleable=True)
from dill import objects
# helper objects
class _class:
def _method(self):
pass
# objects that *fail* if imported
special = {}
special['LambdaType'] = _lambda = lambda x: lambda y: x
special['MethodType'] = _method = _class()._method
special['UnboundMethodType'] = _class._method
objects.update(special)
def pickles(name, exact=False):
# Copyright (c) 2008-2016 California Institute of Technology.
# License: 3-clause BSD. The full license text is available at:
# - http://trac.mystic.cacr.caltech.edu/project/pathos/browser/dill/LICENSE
"""
demonstrate dill's ability to pickle different python types
test pickling of all Python Standard Library objects (currently: CH 1-14 @ 2.7)
"""
import dill as pickle
pickle.settings['recurse'] = True
#pickle.debug.trace(True)
#import pickle
# get all objects for testing
from dill import load_types, objects, extend
load_types(pickleable=True,unpickleable=False) #FIXME: pypy
# Traceback (most recent call last):
# File "dill/_objects.py", line 264, in <module>
# a['MemberDescriptorType'] = type.__dict__['__weakrefoffset__']
# KeyError: '__weakrefoffset__'
#load_types(pickleable=True,unpickleable=True)
# uncomment the next two lines to test cloudpickle
#extend(False)
#import cloudpickle as pickle
# helper objects
class _class:
def _method(self):
pass
