2022-03-30 21:57:27 +08:00
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from __future__ import annotations
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2022-04-11 23:44:33 +08:00
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from abc import ABC, abstractmethod
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import itertools as it
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import re
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2022-03-30 21:57:27 +08:00
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2022-04-23 17:17:43 +08:00
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from manimlib.constants import WHITE
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from manimlib.logger import log
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2022-03-30 21:57:27 +08:00
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from manimlib.mobject.svg.svg_mobject import SVGMobject
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from manimlib.mobject.types.vectorized_mobject import VGroup
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from manimlib.utils.color import color_to_rgb
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from manimlib.utils.color import rgb_to_hex
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from manimlib.utils.config_ops import digest_config
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from manimlib.utils.iterables import remove_list_redundancies
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from colour import Color
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from typing import Iterable, Sequence, TypeVar, Union
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ManimColor = Union[str, Color]
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Span = tuple[int, int]
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Selector = Union[
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str,
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re.Pattern,
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tuple[Union[int, None], Union[int, None]],
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Iterable[Union[
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str,
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re.Pattern,
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tuple[Union[int, None], Union[int, None]]
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]]
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]
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T = TypeVar("T")
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class LabelledString(SVGMobject, ABC):
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"""
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An abstract base class for `MTex` and `MarkupText`
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"""
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2022-03-30 21:57:27 +08:00
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CONFIG = {
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"height": None,
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"stroke_width": 0,
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"stroke_color": WHITE,
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"path_string_config": {
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"should_subdivide_sharp_curves": True,
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"should_remove_null_curves": True,
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},
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"base_color": WHITE,
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"isolate": [],
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}
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def __init__(self, string: str, **kwargs):
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self.string = string
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digest_config(self, kwargs)
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if self.base_color is None:
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self.base_color = WHITE
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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()
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super().__init__(**kwargs)
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self.labelled_submobject_items = [
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(submob.label, submob)
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for submob in self.submobjects
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]
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self.labels = [label for label, _ in self.labelled_submobject_items]
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def get_file_path(self) -> str:
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return self.get_file_path_by_content(self.original_content)
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@abstractmethod
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def get_file_path_by_content(self, content: str) -> str:
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return ""
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def generate_mobject(self) -> None:
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super().generate_mobject()
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file_path = self.get_file_path_by_content(self.labelled_content)
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labelled_svg = SVGMobject(file_path)
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num_submobjects = len(self.submobjects)
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if num_submobjects != len(labelled_svg.submobjects):
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log.warning(
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"Cannot align submobjects of the labelled svg "
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"to the original svg. Skip the labelling process."
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)
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submob_color_ints = [0] * num_submobjects
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else:
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submob_color_ints = [
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self.hex_to_int(self.color_to_hex(submob.get_fill_color()))
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for submob in labelled_svg.submobjects
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]
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unrecognized_colors = list(filter(
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lambda color_int: color_int > len(self.labelled_spans),
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submob_color_ints
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))
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if unrecognized_colors:
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log.warning(
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"Unrecognized color label(s) detected (%s, etc). "
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"Skip the labelling process.",
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self.int_to_hex(unrecognized_colors[0])
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)
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submob_color_ints = [0] * num_submobjects
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#if self.sort_labelled_submobs:
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# TODO: remove this
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submob_indices = sorted(
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range(num_submobjects),
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key=lambda index: tuple(
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self.submobjects[index].get_center()
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)
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)
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labelled_submob_indices = sorted(
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range(num_submobjects),
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key=lambda index: tuple(
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labelled_svg.submobjects[index].get_center()
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)
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)
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submob_color_ints = [
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submob_color_ints[
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labelled_submob_indices[submob_indices.index(index)]
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]
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for index in range(num_submobjects)
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]
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for submob, color_int in zip(self.submobjects, submob_color_ints):
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submob.label = color_int - 1
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#@property
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#@abstractmethod
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#def sort_labelled_submobs(self) -> bool:
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# return False
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# Toolkits
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def get_substr(self, span: Span) -> str:
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return self.string[slice(*span)]
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#def match(self, pattern: str | re.Pattern, **kwargs) -> re.Pattern | None:
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# if isinstance(pattern, str):
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# pattern = re.compile(pattern)
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# return re.compile(pattern).match(self.string, **kwargs)
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def find_spans(self, pattern: str) -> list[Span]:
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return [
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match_obj.span()
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for match_obj in re.finditer(pattern, self.string)
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]
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#def find_indices(self, pattern: str | re.Pattern, **kwargs) -> list[int]:
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# 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):
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if isinstance(sel, str):
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return self.find_spans(re.escape(sel))
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if isinstance(sel, re.Pattern):
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result_iterator = sel.finditer(self.string)
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if not sel.groups:
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return [
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match_obj.span()
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for match_obj in result_iterator
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]
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return [
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span
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for match_obj in result_iterator
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for span in match_obj.regs[1:]
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if span != (-1, -1)
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]
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if isinstance(sel, tuple) and len(sel) == 2 and all(
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isinstance(index, int) or index is None
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for index in sel
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):
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l = self.full_span[1]
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span = tuple(
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min(index, l) if index >= 0 else max(index + l, 0)
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if index is not None else default_index
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for index, default_index in zip(sel, self.full_span)
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)
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return [span]
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return None
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result = find_spans_by_single_selector(selector)
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if result is None:
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result = []
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for sel in selector:
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spans = find_spans_by_single_selector(sel)
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if spans is None:
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raise TypeError(f"Invalid selector: '{sel}'")
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result.extend(spans)
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return sorted(filter(
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lambda span: span[0] < span[1],
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self.remove_redundancies(result)
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))
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@staticmethod
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def chain(*iterables: Iterable[T]) -> list[T]:
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return list(it.chain(*iterables))
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@staticmethod
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def remove_redundancies(vals: Sequence[T]) -> list[T]:
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return remove_list_redundancies(vals)
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@staticmethod
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def get_neighbouring_pairs(vals: Sequence[T]) -> list[tuple[T, T]]:
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return list(zip(vals[:-1], vals[1:]))
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@staticmethod
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def compress_neighbours(vals: Sequence[T]) -> list[tuple[T, Span]]:
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if not vals:
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return []
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unique_vals = [vals[0]]
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indices = [0]
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for index, val in enumerate(vals):
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if val == unique_vals[-1]:
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continue
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unique_vals.append(val)
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indices.append(index)
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indices.append(len(vals))
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val_ranges = LabelledString.get_neighbouring_pairs(indices)
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return list(zip(unique_vals, val_ranges))
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@staticmethod
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def sort_obj_pairs_by_spans(
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obj_pairs: list[tuple[Span, tuple[T, T]]]
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) -> list[tuple[int, T]]:
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return [
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(index, obj)
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for (index, _), obj in sorted([
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(span, begin_obj)
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for span, (begin_obj, _) in obj_pairs
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] + [
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(span[::-1], end_obj)
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for span, (_, end_obj) in reversed(obj_pairs)
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], key=lambda t: (t[0][0], -t[0][1]))
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]
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@staticmethod
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def span_contains(span_0: Span, span_1: Span) -> bool:
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return span_0[0] <= span_1[0] and span_0[1] >= span_1[1]
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def get_level_items(
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self,
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tag_span_pairs: list[tuple[Span, Span]],
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entity_spans: list[Span]
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) -> tuple[list[Span], list[int]]:
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tagged_items = sorted(self.chain(
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[(begin_cmd_span, 1) for begin_cmd_span, _ in tag_span_pairs],
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[(end_cmd_span, -1) for _, end_cmd_span in tag_span_pairs],
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[(entity_span, 0) for entity_span in entity_spans],
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), key=lambda t: t[0])
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piece_spans = self.get_complement_spans(self.full_span, [
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interval_span for interval_span, _ in tagged_items
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])
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piece_levels = [0, *it.accumulate([tag for _, tag in tagged_items])]
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return piece_spans, piece_levels
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def split_span_by_levels(self, arbitrary_span: Span) -> list[Span]:
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# ignorable_indices --
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# left_bracket_spans
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# right_bracket_spans
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# entity_spans
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#piece_spans, piece_levels = zip(*self.piece_items)
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#ignorable_indices = self.ignorable_indices
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piece_spans = self.piece_spans
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piece_levels = self.piece_levels
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#piece_begins, piece_ends = zip(*piece_spans)
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#span_begin, span_end = arbitrary_span
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#while span_begin in ignorable_indices:
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# span_begin += 1
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#while span_end - 1 in ignorable_indices:
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# span_end -= 1
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#entity_spans = self.chain(
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# left_bracket_spans, right_bracket_spans, entity_spans
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#)
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index_begin = sum([
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arbitrary_span[0] > piece_end
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for _, piece_end in piece_spans
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])
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index_end = sum([
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arbitrary_span[1] >= piece_begin
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for piece_begin, _ in piece_spans
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])
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if index_begin >= index_end:
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return []
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lowest_level = min(
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piece_levels[index_begin:index_end]
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)
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split_piece_indices = []
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target_level = piece_levels[index_begin]
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for piece_index in range(index_begin, index_end):
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if piece_levels[piece_index] != target_level:
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continue
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split_piece_indices.append(piece_index)
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target_level -= 1
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if target_level < lowest_level:
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break
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len_indices = len(split_piece_indices)
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target_level = piece_levels[index_end - 1]
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for piece_index in range(index_begin, index_end)[::-1]:
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if piece_levels[piece_index] != target_level:
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continue
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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
|
|
|
|
|
2022-03-30 21:57:27 +08:00
|
|
|
@staticmethod
|
2022-04-23 17:17:43 +08:00
|
|
|
def get_complement_spans(
|
2022-05-02 22:40:06 +08:00
|
|
|
universal_span: Span, interval_spans: list[Span]
|
2022-04-23 17:17:43 +08:00
|
|
|
) -> 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])
|
|
|
|
))
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
def get_replaced_substr(self, span: Span, repl_items: list[Span, str]): # TODO: need `span` attr?
|
2022-04-23 17:17:43 +08:00
|
|
|
if not repl_items:
|
|
|
|
return self.get_substr(span)
|
2022-04-06 22:38:33 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
repl_spans, repl_strs = zip(*sorted(
|
|
|
|
repl_items, key=lambda t: t[0]
|
|
|
|
))
|
2022-04-06 22:38:33 +08:00
|
|
|
pieces = [
|
|
|
|
self.get_substr(piece_span)
|
2022-05-02 22:40:06 +08:00
|
|
|
for piece_span in self.get_complement_spans(span, repl_spans)
|
2022-04-06 22:38:33 +08:00
|
|
|
]
|
2022-04-23 17:17:43 +08:00
|
|
|
repl_strs = [*repl_strs, ""]
|
|
|
|
return "".join(self.chain(*zip(pieces, repl_strs)))
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
#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)
|
2022-03-30 21:57:27 +08:00
|
|
|
|
|
|
|
@staticmethod
|
2022-05-02 22:40:06 +08:00
|
|
|
def color_to_hex(color: ManimColor) -> str:
|
|
|
|
return rgb_to_hex(color_to_rgb(color))
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-04-11 23:44:33 +08:00
|
|
|
@staticmethod
|
2022-05-02 22:40:06 +08:00
|
|
|
def hex_to_int(rgb_hex: str) -> int:
|
|
|
|
return int(rgb_hex[1:], 16)
|
2022-04-11 23:44:33 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
@staticmethod
|
|
|
|
def int_to_hex(rgb_int: int) -> str:
|
|
|
|
return f"#{rgb_int:06x}".upper()
|
2022-03-31 10:36:14 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
@staticmethod
|
2022-03-30 21:57:27 +08:00
|
|
|
@abstractmethod
|
2022-05-03 23:39:37 +08:00
|
|
|
def get_tag_string_pair(
|
|
|
|
attr_dict: dict[str, str], label_hex: str | None
|
|
|
|
) -> tuple[str, str]:
|
|
|
|
return ("", "")
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
#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]
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
def parse(self) -> None:
|
|
|
|
self.entity_spans = self.get_entity_spans()
|
|
|
|
tag_span_pairs, internal_items = self.get_internal_items()
|
2022-05-03 23:39:37 +08:00
|
|
|
self.piece_spans, self.piece_levels = self.get_level_items(
|
2022-05-02 22:40:06 +08:00
|
|
|
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)
|
|
|
|
]
|
|
|
|
)
|
2022-05-03 23:39:37 +08:00
|
|
|
#print(f"\n{specified_items=}\n")
|
|
|
|
#specified_spans =
|
2022-03-31 16:15:58 +08:00
|
|
|
|
2022-05-02 22:40:06 +08:00
|
|
|
split_items = [
|
|
|
|
(span, attr_dict)
|
|
|
|
for specified_span, attr_dict in specified_items
|
2022-05-03 23:39:37 +08:00
|
|
|
for span in self.split_span_by_levels(specified_span)
|
2022-05-02 22:40:06 +08:00
|
|
|
]
|
2022-05-03 23:39:37 +08:00
|
|
|
#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")
|
2022-05-02 22:40:06 +08:00
|
|
|
|
|
|
|
#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)
|
|
|
|
#]
|
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
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)
|
2022-05-02 22:40:06 +08:00
|
|
|
)
|
2022-05-03 23:39:37 +08:00
|
|
|
|
|
|
|
|
|
|
|
#self.original_content = full_content_strings[False]
|
|
|
|
#self.labelled_content = full_content_strings[True]
|
|
|
|
#print(self.original_content)
|
|
|
|
#print()
|
|
|
|
#print(self.labelled_content)
|
2022-05-02 22:40:06 +08:00
|
|
|
|
|
|
|
|
|
|
|
#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() #######
|
2022-05-03 23:39:37 +08:00
|
|
|
#self.labelled_spans = []
|
|
|
|
#if len(self.labelled_spans) >= 16777216:
|
2022-05-02 22:40:06 +08:00
|
|
|
# raise ValueError("Cannot handle that many substrings")
|
|
|
|
|
2022-03-30 21:57:27 +08:00
|
|
|
@abstractmethod
|
2022-05-02 22:40:06 +08:00
|
|
|
def get_entity_spans(self) -> list[Span]:
|
2022-04-23 17:17:43 +08:00
|
|
|
return []
|
2022-03-30 21:57:27 +08:00
|
|
|
|
|
|
|
@abstractmethod
|
2022-05-02 22:40:06 +08:00
|
|
|
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 []
|
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
#@abstractmethod
|
|
|
|
#def get_labelled_spans(self, split_spans: list[Span]) -> list[Span]:
|
|
|
|
# return []
|
2022-05-02 22:40:06 +08:00
|
|
|
|
|
|
|
#@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
|
2022-05-03 23:39:37 +08:00
|
|
|
#def get_labelled_spans(self) -> list[Span]:
|
2022-05-02 22:40:06 +08:00
|
|
|
# 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)
|
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
#@abstractmethod
|
|
|
|
#def get_additional_inserted_str_pairs(
|
|
|
|
# self
|
|
|
|
#) -> list[tuple[Span, tuple[str, str]]]:
|
|
|
|
# return []
|
2022-05-02 22:40:06 +08:00
|
|
|
|
|
|
|
@abstractmethod
|
2022-05-03 23:39:37 +08:00
|
|
|
def get_command_repl_items(self) -> list[Span, str]:
|
2022-05-02 22:40:06 +08:00
|
|
|
return []
|
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
@abstractmethod
|
|
|
|
def get_full_content_string(self, content_string: str, is_labelled: bool) -> str:
|
|
|
|
return ""
|
2022-05-02 22:40:06 +08:00
|
|
|
|
|
|
|
#def get_content(self, is_labelled: bool) -> str:
|
|
|
|
# return self.content_strings[int(is_labelled)]
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-04-23 17:17:43 +08:00
|
|
|
# Selector
|
2022-04-10 08:36:13 +08:00
|
|
|
|
2022-04-23 17:17:43 +08:00
|
|
|
@abstractmethod
|
2022-03-30 21:57:27 +08:00
|
|
|
def get_cleaned_substr(self, span: Span) -> str:
|
2022-04-23 17:17:43 +08:00
|
|
|
return ""
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
def get_group_part_items(self) -> list[tuple[str, list[int]]]:
|
|
|
|
if not self.labels:
|
2022-04-06 22:38:33 +08:00
|
|
|
return []
|
|
|
|
|
2022-04-27 23:04:24 +08:00
|
|
|
group_labels, labelled_submob_ranges = zip(
|
2022-05-03 23:39:37 +08:00
|
|
|
*self.compress_neighbours(self.labels)
|
2022-04-10 08:36:13 +08:00
|
|
|
)
|
2022-03-30 21:57:27 +08:00
|
|
|
ordered_spans = [
|
2022-05-03 23:39:37 +08:00
|
|
|
self.labelled_spans[label] if label != -1 else self.full_span
|
2022-03-30 21:57:27 +08:00
|
|
|
for label in group_labels
|
|
|
|
]
|
2022-04-06 22:38:33 +08:00
|
|
|
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]
|
2022-03-30 21:57:27 +08:00
|
|
|
)
|
2022-04-06 22:38:33 +08:00
|
|
|
for prev_span, next_span in self.get_neighbouring_pairs(
|
|
|
|
ordered_spans
|
2022-03-30 21:57:27 +08:00
|
|
|
)
|
|
|
|
]
|
2022-04-23 17:17:43 +08:00
|
|
|
group_substrs = [
|
|
|
|
self.get_cleaned_substr(span) if span[0] < span[1] else ""
|
2022-04-06 22:38:33 +08:00
|
|
|
for span in self.get_complement_spans(
|
2022-05-02 22:40:06 +08:00
|
|
|
(ordered_spans[0][0], ordered_spans[-1][1]), interval_spans
|
2022-04-06 22:38:33 +08:00
|
|
|
)
|
2022-03-30 21:57:27 +08:00
|
|
|
]
|
2022-05-03 23:39:37 +08:00
|
|
|
submob_indices_lists = [
|
|
|
|
list(range(*submob_range))
|
2022-04-27 23:04:24 +08:00
|
|
|
for submob_range in labelled_submob_ranges
|
2022-05-03 23:39:37 +08:00
|
|
|
]
|
|
|
|
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]
|
|
|
|
)
|
|
|
|
]
|
2022-04-10 08:36:13 +08:00
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
def get_specified_part_items(self) -> list[tuple[str, list[int]]]:
|
2022-04-23 17:17:43 +08:00
|
|
|
return [
|
|
|
|
(
|
|
|
|
self.get_substr(span),
|
2022-05-03 23:39:37 +08:00
|
|
|
self.get_submob_indices_list_by_span(span)
|
2022-04-07 00:46:41 +08:00
|
|
|
)
|
2022-04-23 17:17:43 +08:00
|
|
|
for span in self.specified_spans
|
|
|
|
]
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
def get_submob_indices_lists_by_selector(
|
|
|
|
self, selector: Selector
|
|
|
|
) -> list[list[int]]:
|
|
|
|
return list(filter(
|
|
|
|
lambda indices_list: indices_list,
|
2022-04-23 17:17:43 +08:00
|
|
|
[
|
2022-05-03 23:39:37 +08:00
|
|
|
self.get_submob_indices_list_by_span(span)
|
2022-04-23 17:17:43 +08:00
|
|
|
for span in self.find_spans_by_selector(selector)
|
|
|
|
]
|
|
|
|
))
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-05-03 23:39:37 +08:00
|
|
|
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)
|
|
|
|
)
|
|
|
|
|
2022-04-23 17:17:43 +08:00
|
|
|
def select_part(self, selector: Selector, index: int = 0) -> VGroup:
|
|
|
|
return self.select_parts(selector)[index]
|
2022-03-30 21:57:27 +08:00
|
|
|
|
2022-04-23 17:17:43 +08:00
|
|
|
def set_parts_color(self, selector: Selector, color: ManimColor):
|
|
|
|
self.select_parts(selector).set_color(color)
|
2022-03-30 21:57:27 +08:00
|
|
|
return self
|
|
|
|
|
2022-04-23 17:17:43 +08:00
|
|
|
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)
|
2022-03-30 21:57:27 +08:00
|
|
|
return self
|
|
|
|
|
|
|
|
def get_string(self) -> str:
|
|
|
|
return self.string
|