from __future__ import annotations import itertools as it import numpy as np from manimlib.animation.composition import AnimationGroup from manimlib.animation.fading import FadeInFromPoint from manimlib.animation.fading import FadeOutToPoint from manimlib.animation.fading import FadeTransformPieces from manimlib.animation.transform import ReplacementTransform from manimlib.animation.transform import Transform from manimlib.mobject.mobject import Mobject from manimlib.mobject.mobject import Group from manimlib.mobject.svg.string_mobject import StringMobject from manimlib.mobject.svg.tex_mobject import Tex from manimlib.mobject.svg.text_mobject import TEXT_MOB_SCALE_FACTOR from manimlib.mobject.types.vectorized_mobject import VGroup from manimlib.mobject.types.vectorized_mobject import VMobject from manimlib.utils.config_ops import digest_config from typing import TYPE_CHECKING if TYPE_CHECKING: from manimlib.mobject.svg.tex_mobject import SingleStringTex from manimlib.mobject.svg.tex_mobject import Tex from manimlib.scene.scene import Scene class TransformMatchingParts(AnimationGroup): mobject_type: type = Mobject group_type: type = Group def __init__( self, mobject: Mobject, target_mobject: Mobject, transform_mismatches: bool = False, fade_transform_mismatches: bool = False, key_map: dict = dict(), **kwargs ): assert(isinstance(mobject, self.mobject_type)) assert(isinstance(target_mobject, self.mobject_type)) source_map = self.get_shape_map(mobject) target_map = self.get_shape_map(target_mobject) # Create two mobjects whose submobjects all match each other # according to whatever keys are used for source_map and # target_map transform_source = self.group_type() transform_target = self.group_type() kwargs["final_alpha_value"] = 0 for key in set(source_map).intersection(target_map): transform_source.add(source_map[key]) transform_target.add(target_map[key]) anims = [Transform(transform_source, transform_target, **kwargs)] # User can manually specify when one part should transform # into another despite not matching by using key_map key_mapped_source = self.group_type() key_mapped_target = self.group_type() for key1, key2 in key_map.items(): if key1 in source_map and key2 in target_map: key_mapped_source.add(source_map[key1]) key_mapped_target.add(target_map[key2]) source_map.pop(key1, None) target_map.pop(key2, None) if len(key_mapped_source) > 0: anims.append(FadeTransformPieces( key_mapped_source, key_mapped_target, )) fade_source = self.group_type() fade_target = self.group_type() for key in set(source_map).difference(target_map): fade_source.add(source_map[key]) for key in set(target_map).difference(source_map): fade_target.add(target_map[key]) if transform_mismatches: anims.append(Transform(fade_source.copy(), fade_target, **kwargs)) if fade_transform_mismatches: anims.append(FadeTransformPieces(fade_source, fade_target, **kwargs)) else: anims.append(FadeOutToPoint( fade_source, target_mobject.get_center(), **kwargs )) anims.append(FadeInFromPoint( fade_target.copy(), mobject.get_center(), **kwargs )) super().__init__(*anims) self.to_remove = mobject self.to_add = target_mobject def get_shape_map(self, mobject: Mobject) -> dict[int, VGroup]: shape_map: dict[int, VGroup] = {} for sm in self.get_mobject_parts(mobject): key = self.get_mobject_key(sm) if key not in shape_map: shape_map[key] = VGroup() shape_map[key].add(sm) return shape_map def clean_up_from_scene(self, scene: Scene) -> None: for anim in self.animations: anim.update(0) scene.remove(self.mobject) scene.remove(self.to_remove) scene.add(self.to_add) @staticmethod def get_mobject_parts(mobject: Mobject) -> Mobject: # To be implemented in subclass return mobject @staticmethod def get_mobject_key(mobject: Mobject) -> int: # To be implemented in subclass return hash(mobject) class TransformMatchingShapes(TransformMatchingParts): mobject_type: type = VMobject group_type: type = VGroup @staticmethod def get_mobject_parts(mobject: VMobject) -> list[VMobject]: return mobject.family_members_with_points() @staticmethod def get_mobject_key(mobject: VMobject) -> int: mobject.save_state() mobject.center() mobject.set_height(1) result = hash(np.round(mobject.get_points(), 3).tobytes()) mobject.restore() return result class TransformMatchingTex(TransformMatchingParts): mobject_type: type = Tex group_type: type = VGroup @staticmethod def get_mobject_parts(mobject: Tex) -> list[SingleStringTex]: return mobject.submobjects @staticmethod def get_mobject_key(mobject: Tex) -> str: return mobject.get_tex() class TransformMatchingStrings(AnimationGroup): def __init__(self, source: StringMobject, target: StringMobject, key_map: dict = {}, transform_mismatches: bool = False, **kwargs ): digest_config(self, kwargs) assert isinstance(source, StringMobject) assert isinstance(target, StringMobject) def get_matched_indices_lists(*part_items_list): part_items_list_len = len(part_items_list) indexed_part_items = sorted(it.chain(*[ [ (substr, items_index, indices_list) for substr, indices_list in part_items ] for items_index, part_items in enumerate(part_items_list) ])) grouped_part_items = [ (substr, [ [indices_lists for _, _, indices_lists in grouper_2] for _, grouper_2 in it.groupby( grouper_1, key=lambda t: t[1] ) ]) for substr, grouper_1 in it.groupby( indexed_part_items, key=lambda t: t[0] ) ] return [ tuple(indices_lists_list) for _, indices_lists_list in sorted(filter( lambda t: t[0] and len(t[1]) == part_items_list_len, grouped_part_items ), key=lambda t: len(t[0]), reverse=True) ] def get_filtered_indices_lists(indices_lists, used_indices): result = [] used = [] for indices_list in indices_lists: if not all( index not in used_indices and index not in used for index in indices_list ): continue result.append(indices_list) used.extend(indices_list) return result, used anim_class_items = [ (ReplacementTransform, [ ( source.get_submob_indices_lists_by_selector(k), target.get_submob_indices_lists_by_selector(v) ) for k, v in key_map.items() ]), (FadeTransformPieces, get_matched_indices_lists( source.get_specified_part_items(), target.get_specified_part_items() )), (FadeTransformPieces, get_matched_indices_lists( source.get_group_part_items(), target.get_group_part_items() )) ] anims = [] source_used_indices = [] target_used_indices = [] for anim_class, pairs in anim_class_items: for source_indices_lists, target_indices_lists in pairs: source_filtered, source_used = get_filtered_indices_lists( source_indices_lists, source_used_indices ) target_filtered, target_used = get_filtered_indices_lists( target_indices_lists, target_used_indices ) if not source_filtered or not target_filtered: continue anims.append(anim_class( source.build_parts_from_indices_lists(source_filtered), target.build_parts_from_indices_lists(target_filtered), **kwargs )) source_used_indices.extend(source_used) target_used_indices.extend(target_used) rest_source = VGroup(*( submob for index, submob in enumerate(source.submobjects) if index not in source_used_indices )) rest_target = VGroup(*( submob for index, submob in enumerate(target.submobjects) if index not in target_used_indices )) if transform_mismatches: anims.append( ReplacementTransform(rest_source, rest_target, **kwargs) ) else: anims.append( FadeOutToPoint(rest_source, target.get_center(), **kwargs) ) anims.append( FadeInFromPoint(rest_target, source.get_center(), **kwargs) ) super().__init__(*anims)