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Abstract away logic of TransformMatchingStrings to a new version of TransformMatchingParts
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96bc95ef38
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1 changed files with 78 additions and 171 deletions
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@ -18,218 +18,90 @@ from manimlib.mobject.types.vectorized_mobject import VMobject
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from typing import Iterable
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from manimlib.scene.scene import Scene
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class TransformMatchingParts(AnimationGroup):
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mobject_type: type = Mobject
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group_type: type = Group
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def __init__(
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self,
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mobject: Mobject,
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target_mobject: Mobject,
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transform_mismatches: bool = False,
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fade_transform_mismatches: bool = False,
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key_map: dict | None = None,
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**kwargs
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):
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assert(isinstance(mobject, self.mobject_type))
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assert(isinstance(target_mobject, self.mobject_type))
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source_map = self.get_shape_map(mobject)
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target_map = self.get_shape_map(target_mobject)
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key_map = key_map or dict()
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# Create two mobjects whose submobjects all match each other
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# according to whatever keys are used for source_map and
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# target_map
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transform_source = self.group_type()
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transform_target = self.group_type()
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kwargs["final_alpha_value"] = 0
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for key in set(source_map).intersection(target_map):
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transform_source.add(source_map[key])
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transform_target.add(target_map[key])
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anims = [Transform(transform_source, transform_target, **kwargs)]
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# User can manually specify when one part should transform
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# into another despite not matching by using key_map
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key_mapped_source = self.group_type()
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key_mapped_target = self.group_type()
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for key1, key2 in key_map.items():
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if key1 in source_map and key2 in target_map:
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key_mapped_source.add(source_map[key1])
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key_mapped_target.add(target_map[key2])
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source_map.pop(key1, None)
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target_map.pop(key2, None)
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if len(key_mapped_source) > 0:
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anims.append(FadeTransformPieces(
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key_mapped_source,
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key_mapped_target,
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))
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fade_source = self.group_type()
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fade_target = self.group_type()
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for key in set(source_map).difference(target_map):
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fade_source.add(source_map[key])
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for key in set(target_map).difference(source_map):
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fade_target.add(target_map[key])
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if transform_mismatches:
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anims.append(Transform(fade_source.copy(), fade_target, **kwargs))
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if fade_transform_mismatches:
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anims.append(FadeTransformPieces(fade_source, fade_target, **kwargs))
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else:
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anims.append(FadeOutToPoint(
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fade_source, target_mobject.get_center(), **kwargs
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))
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anims.append(FadeInFromPoint(
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fade_target.copy(), mobject.get_center(), **kwargs
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))
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super().__init__(*anims)
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self.to_remove = mobject
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self.to_add = target_mobject
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def get_shape_map(self, mobject: Mobject) -> dict[int | str, VGroup]:
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shape_map: dict[int | str, VGroup] = {}
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for sm in self.get_mobject_parts(mobject):
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key = self.get_mobject_key(sm)
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if key not in shape_map:
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shape_map[key] = VGroup()
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shape_map[key].add(sm)
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return shape_map
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def clean_up_from_scene(self, scene: Scene) -> None:
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for anim in self.animations:
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anim.update(0)
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scene.remove(self.mobject)
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scene.remove(self.to_remove)
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scene.add(self.to_add)
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@staticmethod
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def get_mobject_parts(mobject: Mobject) -> Mobject:
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# To be implemented in subclass
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return mobject
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@staticmethod
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def get_mobject_key(mobject: Mobject) -> int:
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# To be implemented in subclass
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return hash(mobject)
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class TransformMatchingShapes(TransformMatchingParts):
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mobject_type: type = VMobject
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group_type: type = VGroup
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@staticmethod
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def get_mobject_parts(mobject: VMobject) -> list[VMobject]:
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return mobject.family_members_with_points()
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@staticmethod
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def get_mobject_key(mobject: VMobject) -> int:
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mobject.save_state()
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mobject.center()
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mobject.set_height(1)
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result = hash(np.round(mobject.get_points(), 3).tobytes())
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mobject.restore()
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return result
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class TransformMatchingStrings(AnimationGroup):
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def __init__(
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self,
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source: StringMobject,
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target: StringMobject,
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matched_keys: list[str] | None = None,
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key_map: dict[str, str] | None = None,
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source: Mobject,
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target: Mobject,
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matched_pairs: Iterable[tuple[Mobject, Mobject]] = [],
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match_animation: type = Transform,
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mismatch_animation: type = Transform,
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run_time=2,
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lag_ratio=0,
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run_time: float = 2,
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lag_ratio: float = 0,
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group_type: type = Group,
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**kwargs,
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):
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self.source = source
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self.target = target
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matched_keys = matched_keys or list()
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key_map = key_map or dict()
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self.match_animation = match_animation
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self.mismatch_animation = mismatch_animation
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self.anim_config = dict(**kwargs)
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# We will progressively build up a list of transforms
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# from characters in source to those in target. These
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# two lists keep track of which characters are accounted
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# for so far
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self.source_chars = source.family_members_with_points()
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self.target_chars = target.family_members_with_points()
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self.source_pieces = source.family_members_with_points()
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self.target_pieces = target.family_members_with_points()
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self.anims = []
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# Start by pairing all matched keys specifically passed in
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for key in matched_keys:
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self.add_transform(
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source.select_parts(key),
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target.select_parts(key),
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match_animation
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)
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# Then pair those based on the key map
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for key, value in key_map.items():
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self.add_transform(
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source.select_parts(key),
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target.select_parts(value),
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mismatch_animation
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)
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# Now pair by substrings which were isolated in StringMobject
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# initializations
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specified_substrings = [
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*source.get_specified_substrings(),
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*target.get_specified_substrings()
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]
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for key in specified_substrings:
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self.add_transform(
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source.select_parts(key),
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target.select_parts(key),
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match_animation
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)
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for pair in matched_pairs:
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self.add_transform(*pair)
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# Match any pairs with the same shape
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pairs = self.find_pairs_with_matching_shapes(self.source_chars, self.target_chars)
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for source_char, target_char in pairs:
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self.add_transform(source_char, target_char, match_animation)
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for pair in self.find_pairs_with_matching_shapes(self.source_pieces, self.target_pieces):
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self.add_transform(*pair)
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# Finally, account for mismatches
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for source_char in self.source_chars:
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for source_char in self.source_pieces:
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self.anims.append(FadeOutToPoint(
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source_char, target.get_center(),
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**self.anim_config
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))
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for target_char in self.target_chars:
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for target_char in self.target_pieces:
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self.anims.append(FadeInFromPoint(
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target_char, source.get_center(),
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**self.anim_config
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))
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super().__init__(
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*self.anims,
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run_time=run_time,
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lag_ratio=lag_ratio,
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group_type=VGroup,
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group_type=group_type,
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)
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def add_transform(
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self,
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source: VMobject,
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target: VMobject,
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transform_type: type = Transform,
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source: Mobject,
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target: Mobject,
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):
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new_source_chars = source.family_members_with_points()
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new_target_chars = target.family_members_with_points()
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source_is_new = all(char in self.source_chars for char in new_source_chars)
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target_is_new = all(char in self.target_chars for char in new_target_chars)
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new_source_pieces = source.family_members_with_points()
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new_target_pieces = target.family_members_with_points()
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if len(new_source_pieces) == 0 or len(new_target_pieces) == 0:
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# Don't animate null sorces
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return
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source_is_new = all(char in self.source_pieces for char in new_source_pieces)
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target_is_new = all(char in self.target_pieces for char in new_target_pieces)
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if source_is_new and target_is_new:
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self.anims.append(transform_type(
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source, target, **self.anim_config
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))
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for char in new_source_chars:
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self.source_chars.remove(char)
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for char in new_target_chars:
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self.target_chars.remove(char)
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transform_type = self.mismatch_animation
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if source.has_same_shape_as(target):
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transform_type = self.match_animation
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self.anims.append(transform_type(source, target, **self.anim_config))
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for char in new_source_pieces:
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self.source_pieces.remove(char)
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for char in new_target_pieces:
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self.target_pieces.remove(char)
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def find_pairs_with_matching_shapes(self, chars1, chars2) -> list[tuple[VMobject, VMobject]]:
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def find_pairs_with_matching_shapes(
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self,
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chars1: list[Mobject],
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chars2: list[Mobject]
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) -> list[tuple[Mobject, Mobject]]:
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result = []
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for char1, char2 in it.product(chars1, chars2):
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if char1.has_same_shape_as(char2):
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@ -242,6 +114,41 @@ class TransformMatchingStrings(AnimationGroup):
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scene.add(self.target)
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class TransformMatchingShapes(TransformMatchingParts):
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"""Alias for TransformMatchingParts"""
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pass
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class TransformMatchingStrings(TransformMatchingParts):
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def __init__(
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self,
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source: StringMobject,
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target: StringMobject,
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matched_keys: Iterable[str] = [],
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key_map: dict[str, str] = dict(),
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**kwargs,
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):
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matched_pairs = [
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*[(source[key], target[key]) for key in matched_keys],
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*[(source[key1], target[key2]) for key1, key2 in key_map.items()],
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*[
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(source[substr], target[substr])
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for substr in [
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*source.get_specified_substrings(),
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*target.get_specified_substrings(),
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*source.get_string(), # TODO, have this return symbols, not characters
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*target.get_string(),
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]
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]
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]
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super().__init__(
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source, target,
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matched_pairs=matched_pairs,
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group_type=VGroup,
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**kwargs,
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)
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class TransformMatchingTex(TransformMatchingStrings):
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"""Alias for TransformMatchingStrings"""
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pass
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