3b1b-manim/manimlib/mobject/svg/labelled_string.py

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from __future__ import annotations
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from abc import ABC, abstractmethod
import itertools as it
import re
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from manimlib.constants import WHITE
from manimlib.logger import log
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from manimlib.mobject.svg.svg_mobject import SVGMobject
from manimlib.mobject.types.vectorized_mobject import VGroup
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from manimlib.utils.color import color_to_rgb
from manimlib.utils.color import rgb_to_hex
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from manimlib.utils.config_ops import digest_config
from manimlib.utils.iterables import remove_list_redundancies
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from colour import Color
from typing import Iterable, Sequence, TypeVar, Union
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ManimColor = Union[str, Color]
Span = tuple[int, int]
Selector = Union[
str,
re.Pattern,
tuple[Union[int, None], Union[int, None]],
Iterable[Union[
str,
re.Pattern,
tuple[Union[int, None], Union[int, None]]
]]
]
T = TypeVar("T")
class LabelledString(SVGMobject, ABC):
"""
An abstract base class for `MTex` and `MarkupText`
"""
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CONFIG = {
"height": None,
"stroke_width": 0,
"stroke_color": WHITE,
"path_string_config": {
"should_subdivide_sharp_curves": True,
"should_remove_null_curves": True,
},
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"base_color": WHITE,
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"isolate": [],
}
def __init__(self, string: str, **kwargs):
self.string = string
digest_config(self, kwargs)
if self.base_color is None:
self.base_color = WHITE
self.base_color_hex = self.color_to_hex(self.base_color)
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self.full_span = (0, len(self.string))
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self.parse()
super().__init__(**kwargs)
self.labelled_submobject_items = [
(submob.label, submob)
for submob in self.submobjects
]
self.labels = [label for label, _ in self.labelled_submobject_items]
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def get_file_path(self) -> str:
return self.get_file_path_by_content(self.original_content)
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@abstractmethod
def get_file_path_by_content(self, content: str) -> str:
return ""
def generate_mobject(self) -> None:
super().generate_mobject()
file_path = self.get_file_path_by_content(self.labelled_content)
labelled_svg = SVGMobject(file_path)
num_submobjects = len(self.submobjects)
if num_submobjects != len(labelled_svg.submobjects):
log.warning(
"Cannot align submobjects of the labelled svg "
"to the original svg. Skip the labelling process."
)
submob_color_ints = [0] * num_submobjects
else:
submob_color_ints = [
self.hex_to_int(self.color_to_hex(submob.get_fill_color()))
for submob in labelled_svg.submobjects
]
unrecognized_colors = list(filter(
lambda color_int: color_int > len(self.labelled_spans),
submob_color_ints
))
if unrecognized_colors:
log.warning(
"Unrecognized color label(s) detected (%s, etc). "
"Skip the labelling process.",
self.int_to_hex(unrecognized_colors[0])
)
submob_color_ints = [0] * num_submobjects
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#if self.sort_labelled_submobs:
# TODO: remove this
submob_indices = sorted(
range(num_submobjects),
key=lambda index: tuple(
self.submobjects[index].get_center()
)
)
labelled_submob_indices = sorted(
range(num_submobjects),
key=lambda index: tuple(
labelled_svg.submobjects[index].get_center()
)
)
submob_color_ints = [
submob_color_ints[
labelled_submob_indices[submob_indices.index(index)]
]
for index in range(num_submobjects)
]
for submob, color_int in zip(self.submobjects, submob_color_ints):
submob.label = color_int - 1
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#@property
#@abstractmethod
#def sort_labelled_submobs(self) -> bool:
# return False
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# Toolkits
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def get_substr(self, span: Span) -> str:
return self.string[slice(*span)]
#def match(self, pattern: str | re.Pattern, **kwargs) -> re.Pattern | None:
# if isinstance(pattern, str):
# pattern = re.compile(pattern)
# return re.compile(pattern).match(self.string, **kwargs)
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def find_spans(self, pattern: str) -> list[Span]:
return [
match_obj.span()
for match_obj in re.finditer(pattern, self.string)
]
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#def find_indices(self, pattern: str | re.Pattern, **kwargs) -> list[int]:
# return [index for index, _ in self.find_spans(pattern, **kwargs)]
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def find_spans_by_selector(self, selector: Selector) -> list[Span]:
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def find_spans_by_single_selector(sel):
if isinstance(sel, str):
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return self.find_spans(re.escape(sel))
if isinstance(sel, re.Pattern):
result_iterator = sel.finditer(self.string)
if not sel.groups:
return [
match_obj.span()
for match_obj in result_iterator
]
return [
span
for match_obj in result_iterator
for span in match_obj.regs[1:]
if span != (-1, -1)
]
if isinstance(sel, tuple) and len(sel) == 2 and all(
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isinstance(index, int) or index is None
for index in sel
):
l = self.full_span[1]
span = tuple(
min(index, l) if index >= 0 else max(index + l, 0)
if index is not None else default_index
for index, default_index in zip(sel, self.full_span)
)
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return [span]
return None
result = find_spans_by_single_selector(selector)
if result is None:
result = []
for sel in selector:
spans = find_spans_by_single_selector(sel)
if spans is None:
raise TypeError(f"Invalid selector: '{sel}'")
result.extend(spans)
return sorted(filter(
lambda span: span[0] < span[1],
self.remove_redundancies(result)
))
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@staticmethod
def chain(*iterables: Iterable[T]) -> list[T]:
return list(it.chain(*iterables))
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@staticmethod
def remove_redundancies(vals: Sequence[T]) -> list[T]:
return remove_list_redundancies(vals)
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@staticmethod
def get_neighbouring_pairs(vals: Sequence[T]) -> list[tuple[T, T]]:
return list(zip(vals[:-1], vals[1:]))
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@staticmethod
def compress_neighbours(vals: Sequence[T]) -> list[tuple[T, Span]]:
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if not vals:
return []
unique_vals = [vals[0]]
indices = [0]
for index, val in enumerate(vals):
if val == unique_vals[-1]:
continue
unique_vals.append(val)
indices.append(index)
indices.append(len(vals))
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val_ranges = LabelledString.get_neighbouring_pairs(indices)
return list(zip(unique_vals, val_ranges))
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@staticmethod
def sort_obj_pairs_by_spans(
obj_pairs: list[tuple[Span, tuple[T, T]]]
) -> list[tuple[int, T]]:
return [
(index, obj)
for (index, _), obj in sorted([
(span, begin_obj)
for span, (begin_obj, _) in obj_pairs
] + [
(span[::-1], end_obj)
for span, (_, end_obj) in reversed(obj_pairs)
], key=lambda t: (t[0][0], -t[0][1]))
]
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@staticmethod
def span_contains(span_0: Span, span_1: Span) -> bool:
return span_0[0] <= span_1[0] and span_0[1] >= span_1[1]
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def get_level_items(
self,
tag_span_pairs: list[tuple[Span, Span]],
entity_spans: list[Span]
) -> tuple[list[Span], list[int]]:
tagged_items = sorted(self.chain(
[(begin_cmd_span, 1) for begin_cmd_span, _ in tag_span_pairs],
[(end_cmd_span, -1) for _, end_cmd_span in tag_span_pairs],
[(entity_span, 0) for entity_span in entity_spans],
), key=lambda t: t[0])
piece_spans = self.get_complement_spans(self.full_span, [
interval_span for interval_span, _ in tagged_items
])
piece_levels = [0, *it.accumulate([tag for _, tag in tagged_items])]
return piece_spans, piece_levels
def split_span_by_levels(self, arbitrary_span: Span) -> list[Span]:
# ignorable_indices --
# left_bracket_spans
# right_bracket_spans
# entity_spans
#piece_spans, piece_levels = zip(*self.piece_items)
#ignorable_indices = self.ignorable_indices
piece_spans = self.piece_spans
piece_levels = self.piece_levels
#piece_begins, piece_ends = zip(*piece_spans)
#span_begin, span_end = arbitrary_span
#while span_begin in ignorable_indices:
# span_begin += 1
#while span_end - 1 in ignorable_indices:
# span_end -= 1
#entity_spans = self.chain(
# left_bracket_spans, right_bracket_spans, entity_spans
#)
index_begin = sum([
arbitrary_span[0] > piece_end
for _, piece_end in piece_spans
])
index_end = sum([
arbitrary_span[1] >= piece_begin
for piece_begin, _ in piece_spans
])
if index_begin >= index_end:
return []
lowest_level = min(
piece_levels[index_begin:index_end]
)
split_piece_indices = []
target_level = piece_levels[index_begin]
for piece_index in range(index_begin, index_end):
if piece_levels[piece_index] != target_level:
continue
split_piece_indices.append(piece_index)
target_level -= 1
if target_level < lowest_level:
break
len_indices = len(split_piece_indices)
target_level = piece_levels[index_end - 1]
for piece_index in range(index_begin, index_end)[::-1]:
if piece_levels[piece_index] != target_level:
continue
split_piece_indices.insert(len_indices, piece_index + 1)
target_level -= 1
if target_level < lowest_level:
break
span_begins = [
piece_spans[piece_index][0]
for piece_index in split_piece_indices[:-1]
]
span_begins[0] = max(arbitrary_span[0], span_begins[0])
span_ends = [
piece_spans[piece_index - 1][1]
for piece_index in split_piece_indices[1:]
]
span_ends[-1] = min(arbitrary_span[1], span_ends[-1])
return list(zip(span_begins, span_ends))
#lowest_level_indices = [
# piece_index
# for piece_index, piece_level in enumerate(piece_levels)
# if left_piece_index <= piece_index <= right_piece_index
# and piece_level == lowest_level
#]
#left_lowest_index = min(lowest_level_indices)
#right_lowest_index = max(lowest_level_indices)
#while right_lowest_index != right_piece_index:
#left_parallel_index = max(
# piece_index
# for piece_index, piece_level in enumerate(piece_levels)
# if left_piece_index <= piece_index <= right_piece_index
# and piece_level == piece_levels[left_piece_index]
#)
#right_parallel_index = min(
# piece_index
# for piece_index, piece_level in enumerate(piece_levels)
# if left_piece_index <= piece_index <= right_piece_index
# and piece_level == piece_levels[right_piece_index]
#)
#result.append((
# piece_spans[left_lowest_index][0],
# piece_spans[right_lowest_index][1]
#))
#lowest_piece_indices = [
# piece_index
# for piece_index, piece_level in enumerate(
# )
#]
#adjusted_span_begin = max(span_begin, piece_spans[begin_piece_index][0]) ##
#adjusted_span_end = min(span_end, piece_spans[end_piece_index][1]) ##
#begin_level_mismatch = piece_levels[begin_piece_index] - lowest_level
#end_level_mismatch = piece_levels[end_piece_index] - lowest_level
#if begin_level_mismatch:
# span_begin = piece_spans[max([
# index
# for index, piece_level in enumerate(piece_levels)
# if piece_level == lowest_level and index < begin_piece_index
# ])][1]
# begin_level_mismatch = 0
#if end_level_mismatch:
# span_end = piece_spans[min([
# index
# for index, piece_level in enumerate(piece_levels)
# if piece_level == lowest_level and index > end_piece_index
# ])][0]
# end_level_mismatch = 0
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@staticmethod
def get_complement_spans(
universal_span: Span, interval_spans: list[Span]
) -> list[Span]:
if not interval_spans:
return [universal_span]
span_ends, span_begins = zip(*interval_spans)
return list(zip(
(universal_span[0], *span_begins),
(*span_ends, universal_span[1])
))
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def get_replaced_substr(self, span: Span, repl_items: list[Span, str]): # TODO: need `span` attr?
if not repl_items:
return self.get_substr(span)
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repl_spans, repl_strs = zip(*sorted(
repl_items, key=lambda t: t[0]
))
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pieces = [
self.get_substr(piece_span)
for piece_span in self.get_complement_spans(span, repl_spans)
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]
repl_strs = [*repl_strs, ""]
return "".join(self.chain(*zip(pieces, repl_strs)))
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#def get_replaced_string(
# self,
# inserted_string_pairs: list[tuple[Span, tuple[str, str]]],
# repl_items: list[tuple[Span, str]]
#) -> str:
# all_repl_items = self.chain(
# repl_items,
# [
# ((index, index), inserted_string)
# for index, inserted_string
# in self.sort_inserted_strings_from_pairs(
# inserted_string_pairs
# )
# ]
# )
# return self.get_replaced_substr(self.full_span, all_repl_items)
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@staticmethod
def color_to_hex(color: ManimColor) -> str:
return rgb_to_hex(color_to_rgb(color))
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@staticmethod
def hex_to_int(rgb_hex: str) -> int:
return int(rgb_hex[1:], 16)
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@staticmethod
def int_to_hex(rgb_int: int) -> str:
return f"#{rgb_int:06x}".upper()
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@staticmethod
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@abstractmethod
def get_tag_string_pair(
attr_dict: dict[str, str], label_hex: str | None
) -> tuple[str, str]:
return ("", "")
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#def get_color_tag_str(self, rgb_int: int, is_begin_tag: bool) -> str:
# return self.get_tag_str({
# "foreground": self.int_to_hex(rgb_int)
# }, escape_color_keys=False, is_begin_tag=is_begin_tag)
# Parsing
#@abstractmethod
#def get_command_spans(self) -> list[Span]:
# return []
# #return [
# # self.match(r"\\(?:[a-zA-Z]+|.)", pos=index).span()
# # for index in self.backslash_indices
# #]
#@abstractmethod
#@staticmethod
#def get_command_repl_dict() -> dict[str | re.Pattern, str]:
# return {}
#@abstractmethod
#def parse_setup(self) -> None:
# return
#@abstractmethod
#def get_command_repl_items(self) -> list[tuple[Span, str]]:
# return []
# #result = []
# #for cmd_span in self.command_spans:
# # cmd_str = self.get_substr(cmd_span)
# # if
# # repl_str = self.command_repl_dict.get(cmd_str, cmd_str)
# # result.append((cmd_span, repl_str))
# #return result
#def span_cuts_at_entity(self, span: Span) -> bool:
# return any([
# entity_begin < index < entity_end
# for index in span
# for entity_begin, entity_end in self.command_repl_items
# ])
#@abstractmethod
#def get_all_specified_items(self) -> list[tuple[Span, dict[str, str]]]:
# return []
#def get_specified_items(self) -> list[tuple[Span, dict[str, str]]]:
# return [
# (span, attr_dict)
# for span, attr_dict in self.get_all_specified_items()
# if not any([
# entity_begin < index < entity_end
# for index in span
# for entity_begin, entity_end in self.command_repl_items
# ])
# ]
#def get_specified_spans(self) -> list[Span]:
# return [span for span, _ in self.specified_items]
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def parse(self) -> None:
self.entity_spans = self.get_entity_spans()
tag_span_pairs, internal_items = self.get_internal_items()
self.piece_spans, self.piece_levels = self.get_level_items(
tag_span_pairs, self.entity_spans
)
#self.tag_content_spans = [
# (content_begin, content_end)
# for (_, content_begin), (content_end, _) in tag_span_pairs
#]
self.tag_spans = self.chain(*tag_span_pairs)
specified_items = self.chain(
internal_items,
self.get_external_items(),
[
(span, {})
for span in self.find_spans_by_selector(self.isolate)
]
)
#print(f"\n{specified_items=}\n")
#specified_spans =
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split_items = [
(span, attr_dict)
for specified_span, attr_dict in specified_items
for span in self.split_span_by_levels(specified_span)
]
#print(f"\n{split_items=}\n")
#labelled_spans = [span for span, _ in split_items]
#labelled_spans = self.get_labelled_spans(split_spans)
#if len(labelled_spans) >= 16777216:
# raise ValueError("Cannot handle that many substrings")
#content_strings = []
#for is_labelled in (False, True):
#
# content_strings.append(content_string)
#inserted_str_pairs = self.chain(
# [
# (span, (
# self.get_tag_str(attr_dict, escape_color_keys=True, is_begin_tag=True),
# self.get_tag_str(attr_dict, escape_color_keys=True, is_begin_tag=False)
# ))
# for span, attr_dict in split_items
# ],
# [
# (span, (
# self.get_color_tag_str(label + 1, is_begin_tag=True),
# self.get_color_tag_str(label + 1, is_begin_tag=False)
# ))
# for span, attr_dict in split_items
# ]
#)
#decorated_strings = [
# self.get_replaced_substr(self.full_span, [
# (span, str_pair[flag])
# for span, str_pair in command_repl_items
# ])
# for flag in range(2)
#]
command_repl_items = self.get_command_repl_items()
#full_content_strings = {}
#for is_labelled in (False, True):
# inserted_str_pairs = [
# (span, self.get_tag_string_pair(
# attr_dict,
# rgb_hex=self.int_to_hex(label + 1) if is_labelled else None
# ))
# for label, (span, attr_dict) in enumerate(split_items)
# ]
# repl_items = self.chain(
# command_repl_items,
# [
# ((index, index), inserted_str)
# for index, inserted_str
# in self.sort_obj_pairs_by_spans(inserted_str_pairs)
# ]
# )
# content_string = self.get_replaced_substr(
# self.full_span, repl_items
# )
# full_content_string = self.get_full_content_string(content_string)
# #full_content_strings[is_labelled] = full_content_string
self.specified_spans = [span for span, _ in specified_items]
self.labelled_spans = [span for span, _ in split_items]
for span_0, span_1 in it.product(self.labelled_spans, repeat=2):
if not span_0[0] < span_1[0] < span_0[1] < span_1[1]:
continue
raise ValueError(
"Partially overlapping substrings detected: "
f"'{self.get_substr(span_0)}' and '{self.get_substr(span_1)}'"
)
self.original_content, self.labelled_content = (
self.get_full_content_string(self.get_replaced_substr(
self.full_span, self.chain(
command_repl_items,
[
((index, index), inserted_str)
for index, inserted_str in self.sort_obj_pairs_by_spans([
(span, self.get_tag_string_pair(
attr_dict,
label_hex=self.int_to_hex(label + 1) if is_labelled else None
))
for label, (span, attr_dict) in enumerate(split_items)
])
]
)
), is_labelled=is_labelled)
for is_labelled in (False, True)
)
#self.original_content = full_content_strings[False]
#self.labelled_content = full_content_strings[True]
#print(self.original_content)
#print()
#print(self.labelled_content)
#self.command_repl_dict = self.get_command_repl_dict()
#self.command_repl_items = []
#self.bracket_content_spans = []
##self.command_spans = self.get_command_spans()
##self.specified_items = self.get_specified_items()
#self.specified_spans = []
#self.check_overlapping() #######
#self.labelled_spans = []
#if len(self.labelled_spans) >= 16777216:
# raise ValueError("Cannot handle that many substrings")
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@abstractmethod
def get_entity_spans(self) -> list[Span]:
return []
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@abstractmethod
def get_internal_items(
self
) -> tuple[list[tuple[Span, Span]], list[tuple[Span, dict[str, str]]]]:
return [], []
@abstractmethod
def get_external_items(self) -> list[tuple[Span, dict[str, str]]]:
return []
#@abstractmethod
#def get_spans_from_items(self, specified_items: list[tuple[Span, dict[str, str]]]) -> list[Span]:
# return []
#def split_span(self, arbitrary_span: Span) -> list[Span]:
# span_begin, span_end = arbitrary_span
# # TODO: improve algorithm
# span_begin += sum([
# entity_end - span_begin
# for entity_begin, entity_end in self.entity_spans
# if entity_begin < span_begin < entity_end
# ])
# span_end -= sum([
# span_end - entity_begin
# for entity_begin, entity_end in self.entity_spans
# if entity_begin < span_end < entity_end
# ])
# if span_begin >= span_end:
# return []
# adjusted_span = (span_begin, span_end)
# result = []
# span_choices = list(filter(
# lambda span: span[0] < span[1] and self.span_contains(
# adjusted_span, span
# ),
# self.tag_content_spans
# ))
# while span_choices:
# chosen_span = min(span_choices, key=lambda t: (t[0], -t[1]))
# result.append(chosen_span)
# span_choices = list(filter(
# lambda span: chosen_span[1] <= span[0],
# span_choices
# ))
# result.extend(self.chain(*[
# self.get_complement_spans(span, sorted([
# (max(tag_span[0], span[0]), min(tag_span[1], span[1]))
# for tag_span in self.tag_spans
# if tag_span[0] < span[1] and span[0] < tag_span[1]
# ]))
# for span in self.get_complement_spans(adjusted_span, result)
# ]))
return list(filter(lambda span: span[0] < span[1], result))
#@abstractmethod
#def get_split_items(self, specified_items: list[T]) -> list[T]:
# return []
#@abstractmethod
#def get_labelled_spans(self, split_spans: list[Span]) -> list[Span]:
# return []
#@abstractmethod
#def get_predefined_inserted_str_items(
# self, split_items: list[T]
#) -> list[tuple[Span, tuple[str, str]]]:
# return []
#def check_overlapping(self) -> None:
#for span_0, span_1 in it.product(self.specified_spans, self.bracket_content_spans):
# if not any(
# span_0[0] < span_1[0] <= span_0[1] <= span_1[1],
# span_1[0] <= span_0[0] <= span_1[1] < span_0[1]
# ):
# continue
# raise ValueError(
# f"Invalid substring detected: '{self.get_substr(span_0)}'"
# )
# TODO: test bracket_content_spans
#@abstractmethod
#def get_inserted_string_pairs(
# self, is_labelled: bool
#) -> list[tuple[Span, tuple[str, str]]]:
# return []
#@abstractmethod
#def get_labelled_spans(self) -> list[Span]:
# return []
#def get_decorated_string(
# self, is_labelled: bool, replace_commands: bool
#) -> str:
# inserted_string_pairs = [
# (indices, str_pair)
# for indices, str_pair in self.get_inserted_string_pairs(
# is_labelled=is_labelled
# )
# if not any(
# cmd_begin < index < cmd_end
# for index in indices
# for (cmd_begin, cmd_end), _ in self.command_repl_items
# )
# ]
# repl_items = [
# ((index, index), inserted_string)
# for index, inserted_string
# in self.sort_inserted_strings_from_pairs(
# inserted_string_pairs
# )
# ]
# if replace_commands:
# repl_items.extend(self.command_repl_items)
# return self.get_replaced_substr(self.full_span, repl_items)
#@abstractmethod
#def get_additional_inserted_str_pairs(
# self
#) -> list[tuple[Span, tuple[str, str]]]:
# return []
@abstractmethod
def get_command_repl_items(self) -> list[Span, str]:
return []
@abstractmethod
def get_full_content_string(self, content_string: str, is_labelled: bool) -> str:
return ""
#def get_content(self, is_labelled: bool) -> str:
# return self.content_strings[int(is_labelled)]
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# Selector
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@abstractmethod
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def get_cleaned_substr(self, span: Span) -> str:
return ""
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def get_group_part_items(self) -> list[tuple[str, list[int]]]:
if not self.labels:
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return []
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group_labels, labelled_submob_ranges = zip(
*self.compress_neighbours(self.labels)
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)
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ordered_spans = [
self.labelled_spans[label] if label != -1 else self.full_span
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for label in group_labels
]
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interval_spans = [
(
next_span[0]
if self.span_contains(prev_span, next_span)
else prev_span[1],
prev_span[1]
if self.span_contains(next_span, prev_span)
else next_span[0]
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)
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for prev_span, next_span in self.get_neighbouring_pairs(
ordered_spans
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)
]
group_substrs = [
self.get_cleaned_substr(span) if span[0] < span[1] else ""
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for span in self.get_complement_spans(
(ordered_spans[0][0], ordered_spans[-1][1]), interval_spans
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)
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]
submob_indices_lists = [
list(range(*submob_range))
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for submob_range in labelled_submob_ranges
]
return list(zip(group_substrs, submob_indices_lists))
def get_submob_indices_list_by_span(
self, arbitrary_span: Span
) -> list[int]:
return [
submob_index
for submob_index, label in enumerate(self.labels)
if label != -1 and self.span_contains(
arbitrary_span, self.labelled_spans[label]
)
]
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def get_specified_part_items(self) -> list[tuple[str, list[int]]]:
return [
(
self.get_substr(span),
self.get_submob_indices_list_by_span(span)
)
for span in self.specified_spans
]
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def get_submob_indices_lists_by_selector(
self, selector: Selector
) -> list[list[int]]:
return list(filter(
lambda indices_list: indices_list,
[
self.get_submob_indices_list_by_span(span)
for span in self.find_spans_by_selector(selector)
]
))
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def build_parts_from_indices_lists(
self, submob_indices_lists: list[list[int]]
) -> VGroup:
return VGroup(*[
VGroup(*[
self.labelled_submobject_items[submob_index][1]
for submob_index in indices_list
])
for indices_list in submob_indices_lists
])
#def select_part_by_span(self, arbitrary_span: Span) -> VGroup:
# return VGroup(*[
# self.labelled_submobject_items[submob_index]
# for submob_index in self.get_submob_indices_list_by_span(
# arbitrary_span
# )
# ])
def select_parts(self, selector: Selector) -> VGroup:
return self.build_parts_from_indices_lists(
self.get_submob_indices_lists_by_selector(selector)
)
def select_part(self, selector: Selector, index: int = 0) -> VGroup:
return self.select_parts(selector)[index]
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def set_parts_color(self, selector: Selector, color: ManimColor):
self.select_parts(selector).set_color(color)
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return self
def set_parts_color_by_dict(self, color_map: dict[Selector, ManimColor]):
for selector, color in color_map.items():
self.set_parts_color(selector, color)
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return self
def get_string(self) -> str:
return self.string