def __init__(self, pi_creature, *args, **kwargs):
blinked = deepcopy(pi_creature).blink()
Transform.__init__(
self, pi_creature, blinked,
alpha_func = squish_alpha_func(there_and_back),
*args, **kwargs
)
def __init__(self, parent_transform = None,
rename = False,
recursive = False):
Transform.__init__(self)
self.rename = rename
self.recursive = recursive
self.parent_transform = parent_transform
def __init__(self):
Transform.__init__(self)
self.adverbs_visited = []
self.adverb_args = []
self.expansions = {}
self.exp_stack = []
self.type_env_stack = []
self.dl_tile_estimates = []
self.ml_tile_estimates = []
# For now, we'll assume that no closure variables have the same name.
self.closure_vars = {}
self.num_tiles = 0
def __init__(self, pi_creature, *args, **kwargs):
final = deepcopy(pi_creature)
body_to_arm = pi_creature.arm.get_center()-pi_creature.get_center()
if body_to_arm[0] < 0:
wag_direction = LEFT
else:
wag_direction = RIGHT
final.arm.wag(0.7*UP, wag_direction, 2.0)
final.rewire_part_attributes(self_from_parts = True)
Transform.__init__(
self, pi_creature, final,
alpha_func = there_and_back,
*args, **kwargs
)
def __init__(self,
nesting_idx = -1,
fixed_idx = -1,
tile_sizes_param = None,
fixed_tile_sizes = None,
preallocate_output = False):
Transform.__init__(self)
self.nesting_idx = nesting_idx
self.fixed_idx = fixed_idx
self.tiling = False
self.tile_sizes_param = tile_sizes_param
self.fixed_tile_sizes = fixed_tile_sizes
self.output_var = None
self.preallocate_output = preallocate_output
# For now, we'll assume that no closure variables have the same name.
self.closure_vars = {}
def __init__(self, start_anim, end_anim, **kwargs):
digest_config(self, kwargs, locals())
if "run_time" in kwargs:
self.run_time = kwargs.pop("run_time")
else:
self.run_time = max(start_anim.run_time, end_anim.run_time)
for anim in start_anim, end_anim:
anim.set_run_time(self.run_time)
if start_anim.starting_mobject.get_num_points() != end_anim.starting_mobject.get_num_points():
Mobject.align_data(start_anim.starting_mobject, end_anim.starting_mobject)
for anim in start_anim, end_anim:
if hasattr(anim, "ending_mobject"):
Mobject.align_data(anim.starting_mobject, anim.ending_mobject)
Transform.__init__(self, start_anim.mobject, end_anim.mobject, **kwargs)
#Rewire starting and ending mobjects
start_anim.mobject = self.starting_mobject
end_anim.mobject = self.ending_mobject
def __init__(self): Transform.__init__(self, reverse = True)
def __init__(self): Transform.__init__(self, verify = False)
def __init__(self): Transform.__init__(self)
def __init__(self): Transform.__init__(self) self.count = 0
def __init__(self, transform_to_apply=None):
Transform.__init__(self)
self.transform = transform_to_apply
self.cache.push()
def __init__(self, outer_type_env):
Transform.__init__(self)
self.recursive = False
self.type_env = outer_type_env
self.rename_dict = {}
def __init__(self, mobject, **kwargs):
mobject.sort_points(np.linalg.norm)
mob_copy = mobject.copy()
mob_copy.sort_points(lambda p : -np.linalg.norm(p))
Transform.__init__(self, mobject, mob_copy, **kwargs)
def __init__(self, rename = False, recursive = False): Transform.__init__(self) self.rename = rename self.recursive = recursive
def __init__(self):
Transform.__init__(self, reverse=True)
def __init__(self, parent_transform=None, rename=False):
Transform.__init__(self)
self.rename = rename
# self.recursive = recursive
self.parent_transform = parent_transform
def __init__(self, recursive=True):
Transform.__init__(self)
# name of variable -> Map or Scan adverb
self.adverb_bindings = {}
self.recursive = True
def __init__(self, degree):
Transform.__init__(self)
degree = math.radians(degree)
self.trans_matrix = [[math.cos(degree), math.sin(degree)*-1.0, 0], [math.sin(degree), math.cos(degree), 0], [0, 0, 1]]
print self.trans_matrix
def __init__(self, return_type = None): Transform.__init__(self, verify = False) self.forced_return_type = return_type
def __init__(self, transform_to_apply = None): Transform.__init__(self) self.transform = transform_to_apply self.cache.push()
def __init__(self, mat):
Transform.__init__(self, mat)
self.total_doc = len(self.mat)
def __init__(self, rename_dict):
Transform.__init__(self, require_types=False)
self.rename_dict = rename_dict
def __init__(self, mobject, **kwargs):
digest_config(self, kwargs)
target = mobject.copy()
mobject.shift(self.direction)
mobject.fade(1)
Transform.__init__(self, mobject, target, **kwargs)
def __init__(self, abstract_inputs): Transform.__init__(self) self.abstract_inputs = abstract_inputs
def __init__(self, tenv, var_map): Transform.__init__(self) self.type_env = tenv self.var_map = var_map
def __init__(self, dx, dy):
Transform.__init__(self)
self.trans_matrix = [[1, 0, 0], [0, 1, 0], [dx, dy, 1]]
def __init__(self):
Transform.__init__(self)
def __init__(self, outer_type_env):
Transform.__init__(self)
self.recursive = False
self.type_env = outer_type_env
self.rename_dict = {}
def __init__(self, rename_dict): Transform.__init__(self, require_types = False) self.rename_dict = rename_dict
def __init__(self, mobject, **kwargs):
mobject.sort_points(np.linalg.norm)
mob_copy = mobject.copy()
mob_copy.sort_points(lambda p: -np.linalg.norm(p))
Transform.__init__(self, mobject, mob_copy, **kwargs)
def __init__(self, matrix):
Transform.__init__(self, matrix)
self.document_total = len(self.matrix)
def __init__(self):
Transform.__init__(self)
self.count = 0
