zhengchun
/
PaddleX


			
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							# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations

import copy
import math
import re
from functools import partial
from pathlib import Path
from typing import List

import numpy as np
from PIL import Image, ImageDraw, ImageFont

from ....utils.fonts import PINGFANG_FONT_FILE_PATH
from ...common.result import (
    BaseCVResult,
    HtmlMixin,
    JsonMixin,
    MarkdownMixin,
    XlsxMixin,
)
from .setting import BLOCK_LABEL_MAP


def compile_title_pattern():
    # Precompiled regex pattern for matching numbering at the beginning of the title
    numbering_pattern = (
        r"(?:" + r"[1-9][0-9]*(?:\.[1-9][0-9]*)*[\.、]?|" + r"[\(\（](?:[1-9][0-9]*|["
        r"一二三四五六七八九十百千万亿零壹贰叁肆伍陆柒捌玖拾]+)[\)\）]|" + r"["
        r"一二三四五六七八九十百千万亿零壹贰叁肆伍陆柒捌玖拾]+"
        r"[、\.]?|" + r"(?:I|II|III|IV|V|VI|VII|VIII|IX|X)\.?" + r")"
    )
    return re.compile(r"^\s*(" + numbering_pattern + r")(\s*)(.*)$")


TITLE_RE_PATTERN = compile_title_pattern()


def format_title_func(block):
    """
    Normalize chapter title.
    Add the '#' to indicate the level of the title.
    If numbering exists, ensure there's exactly one space between it and the title content.
    If numbering does not exist, return the original title unchanged.

    :param title: Original chapter title string.
    :return: Normalized chapter title string.
    """
    title = block.content
    match = TITLE_RE_PATTERN.match(title)
    if match:
        numbering = match.group(1).strip()
        title_content = match.group(3).lstrip()
        # Return numbering and title content separated by one space
        title = numbering + " " + title_content

    title = title.rstrip(".")
    level = (
        title.count(
            ".",
        )
        + 1
        if "." in title
        else 1
    )
    return f"#{'#' * level} {title}".replace("-\n", "").replace(
        "\n",
        " ",
    )


def format_centered_by_html(string):
    return (
        f'<div style="text-align: center;">{string}</div>'.replace(
            "-\n",
            "",
        ).replace("\n", " ")
        + "\n"
    )


def format_text_plain_func(block):
    return block.content


def format_image_scaled_by_html_func(block, original_image_width):
    img_tags = []
    image_path = "".join(block.image.keys())
    image_width = block.image[image_path].width
    scale = int(image_width / original_image_width * 100)
    img_tags.append(
        '<img src="{}" alt="Image" width="{}%" />'.format(
            image_path.replace("-\n", "").replace("\n", " "), scale
        ),
    )
    return "\n".join(img_tags)


def format_image_plain_func(block):
    img_tags = []
    image_path = "".join(block.image.keys())
    img_tags.append("![]({})".format(image_path.replace("-\n", "").replace("\n", " ")))
    return "\n".join(img_tags)


def format_chart2table_func(block):
    lines_list = block.content.split("\n")
    column_num = len(lines_list[0].split("|"))
    lines_list.insert(1, "|".join(["---"] * column_num))
    lines_list = [f"|{line}|" for line in lines_list]
    return "\n".join(lines_list)


def simplify_table_func(table_code):
    return "\n" + table_code.replace("<html>", "").replace("</html>", "").replace(
        "<body>", ""
    ).replace("</body>", "")


def format_first_line_func(block, templates, format_func, spliter):
    lines = block.content.split(spliter)
    for idx in range(len(lines)):
        line = lines[idx]
        if line.strip() == "":
            continue
        if line.lower() in templates:
            lines[idx] = format_func(line)
        break
    return spliter.join(lines)


def get_seg_flag(block: LayoutParsingBlock, prev_block: LayoutParsingBlock):

    seg_start_flag = True
    seg_end_flag = True

    block_box = block.bbox
    context_left_coordinate = block_box[0]
    context_right_coordinate = block_box[2]
    seg_start_coordinate = block.seg_start_coordinate
    seg_end_coordinate = block.seg_end_coordinate

    if prev_block is not None:
        prev_block_bbox = prev_block.bbox
        num_of_prev_lines = prev_block.num_of_lines
        pre_block_seg_end_coordinate = prev_block.seg_end_coordinate
        prev_end_space_small = (
            abs(prev_block_bbox[2] - pre_block_seg_end_coordinate) < 10
        )
        prev_lines_more_than_one = num_of_prev_lines > 1

        overlap_blocks = context_left_coordinate < prev_block_bbox[2]

        # update context_left_coordinate and context_right_coordinate
        if overlap_blocks:
            context_left_coordinate = min(prev_block_bbox[0], context_left_coordinate)
            context_right_coordinate = max(prev_block_bbox[2], context_right_coordinate)
            prev_end_space_small = (
                abs(context_right_coordinate - pre_block_seg_end_coordinate) < 10
            )
            edge_distance = 0
        else:
            edge_distance = abs(block_box[0] - prev_block_bbox[2])

        current_start_space_small = seg_start_coordinate - context_left_coordinate < 10

        if (
            prev_end_space_small
            and current_start_space_small
            and prev_lines_more_than_one
            and edge_distance < max(prev_block.width, block.width)
        ):
            seg_start_flag = False
    else:
        if seg_start_coordinate - context_left_coordinate < 10:
            seg_start_flag = False

    if context_right_coordinate - seg_end_coordinate < 10:
        seg_end_flag = False

    return seg_start_flag, seg_end_flag


class LayoutParsingResultV2(BaseCVResult, HtmlMixin, XlsxMixin, MarkdownMixin):
    """Layout Parsing Result V2"""

    def __init__(self, data) -> None:
        """Initializes a new instance of the class with the specified data."""
        super().__init__(data)
        HtmlMixin.__init__(self)
        XlsxMixin.__init__(self)
        MarkdownMixin.__init__(self)
        JsonMixin.__init__(self)

    def _get_input_fn(self):
        fn = super()._get_input_fn()
        if (page_idx := self["page_index"]) is not None:
            fp = Path(fn)
            stem, suffix = fp.stem, fp.suffix
            return f"{stem}_{page_idx}{suffix}"
        else:
            return fn

    def _to_img(self) -> dict[str, np.ndarray]:
        from .utils import get_show_color

        res_img_dict = {}
        model_settings = self["model_settings"]
        if model_settings["use_doc_preprocessor"]:
            for key, value in self["doc_preprocessor_res"].img.items():
                res_img_dict[key] = value
        res_img_dict["layout_det_res"] = self["layout_det_res"].img["res"]

        if model_settings["use_region_detection"]:
            res_img_dict["region_det_res"] = self["region_det_res"].img["res"]

        res_img_dict["overall_ocr_res"] = self["overall_ocr_res"].img["ocr_res_img"]

        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            table_cell_img = Image.fromarray(
                copy.deepcopy(self["doc_preprocessor_res"]["output_img"])
            )
            table_draw = ImageDraw.Draw(table_cell_img)
            rectangle_color = (255, 0, 0)
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                cell_box_list = table_res["cell_box_list"]
                for box in cell_box_list:
                    x1, y1, x2, y2 = [int(pos) for pos in box]
                    table_draw.rectangle(
                        [x1, y1, x2, y2], outline=rectangle_color, width=2
                    )
            res_img_dict["table_cell_img"] = table_cell_img

        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                seal_region_id = seal_res["seal_region_id"]
                sub_seal_res_dict = seal_res.img
                key = f"seal_res_region{seal_region_id}"
                res_img_dict[key] = sub_seal_res_dict["ocr_res_img"]

        # for layout ordering image
        image = Image.fromarray(self["doc_preprocessor_res"]["output_img"][:, :, ::-1])
        draw = ImageDraw.Draw(image, "RGBA")
        font_size = int(0.018 * int(image.width)) + 2
        font = ImageFont.truetype(PINGFANG_FONT_FILE_PATH, font_size, encoding="utf-8")
        parsing_result: List[LayoutParsingBlock] = self["parsing_res_list"]
        for block in parsing_result:
            bbox = block.bbox
            index = block.order_index
            label = block.label
            fill_color = get_show_color(label, False)
            draw.rectangle(bbox, fill=fill_color)
            if index is not None:
                text_position = (bbox[2] + 2, bbox[1] - font_size // 2)
                if int(image.width) - bbox[2] < font_size:
                    text_position = (
                        int(bbox[2] - font_size * 1.1),
                        bbox[1] - font_size // 2,
                    )
                draw.text(text_position, str(index), font=font, fill="red")

        res_img_dict["layout_order_res"] = image

        return res_img_dict

    def _to_str(self, *args, **kwargs) -> dict[str, str]:
        """Converts the instance's attributes to a dictionary and then to a string.

        Args:
            *args: Additional positional arguments passed to the base class method.
            **kwargs: Additional keyword arguments passed to the base class method.

        Returns:
            Dict[str, str]: A dictionary with the instance's attributes converted to strings.
        """
        data = {}
        data["input_path"] = self["input_path"]
        data["page_index"] = self["page_index"]
        model_settings = self["model_settings"]
        data["model_settings"] = model_settings
        if self["model_settings"]["use_doc_preprocessor"]:
            data["doc_preprocessor_res"] = self["doc_preprocessor_res"].str["res"]
        data["layout_det_res"] = self["layout_det_res"].str["res"]
        data["overall_ocr_res"] = self["overall_ocr_res"].str["res"]
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            data["table_res_list"] = []
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                data["table_res_list"].append(table_res.str["res"])
        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            data["seal_res_list"] = []
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                data["seal_res_list"].append(seal_res.str["res"])
        if (
            model_settings["use_formula_recognition"]
            and len(self["formula_res_list"]) > 0
        ):
            data["formula_res_list"] = []
            for sno in range(len(self["formula_res_list"])):
                formula_res = self["formula_res_list"][sno]
                data["formula_res_list"].append(formula_res.str["res"])

        return JsonMixin._to_str(data, *args, **kwargs)

    def _to_json(self, *args, **kwargs) -> dict[str, str]:
        """
        Converts the object's data to a JSON dictionary.

        Args:
            *args: Positional arguments passed to the JsonMixin._to_json method.
            **kwargs: Keyword arguments passed to the JsonMixin._to_json method.

        Returns:
            Dict[str, str]: A dictionary containing the object's data in JSON format.
        """
        data = {}
        data["input_path"] = self["input_path"]
        data["page_index"] = self["page_index"]
        model_settings = self["model_settings"]
        data["model_settings"] = model_settings
        parsing_res_list = self["parsing_res_list"]
        parsing_res_list = [
            {
                "block_label": parsing_res.label,
                "block_content": parsing_res.content,
                "block_bbox": parsing_res.bbox,
            }
            for parsing_res in parsing_res_list
        ]
        data["parsing_res_list"] = parsing_res_list
        if self["model_settings"]["use_doc_preprocessor"]:
            data["doc_preprocessor_res"] = self["doc_preprocessor_res"].json["res"]
        data["layout_det_res"] = self["layout_det_res"].json["res"]
        data["overall_ocr_res"] = self["overall_ocr_res"].json["res"]
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            data["table_res_list"] = []
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                data["table_res_list"].append(table_res.json["res"])
        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            data["seal_res_list"] = []
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                data["seal_res_list"].append(seal_res.json["res"])
        if (
            model_settings["use_formula_recognition"]
            and len(self["formula_res_list"]) > 0
        ):
            data["formula_res_list"] = []
            for sno in range(len(self["formula_res_list"])):
                formula_res = self["formula_res_list"][sno]
                data["formula_res_list"].append(formula_res.json["res"])
        return JsonMixin._to_json(data, *args, **kwargs)

    def _to_html(self) -> dict[str, str]:
        """Converts the prediction to its corresponding HTML representation.

        Returns:
            Dict[str, str]: The str type HTML representation result.
        """
        model_settings = self["model_settings"]
        res_html_dict = {}
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                table_region_id = table_res["table_region_id"]
                key = f"table_{table_region_id}"
                res_html_dict[key] = table_res.html["pred"]
        return res_html_dict

    def _to_xlsx(self) -> dict[str, str]:
        """Converts the prediction HTML to an XLSX file path.

        Returns:
            Dict[str, str]: The str type XLSX representation result.
        """
        model_settings = self["model_settings"]
        res_xlsx_dict = {}
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                table_region_id = table_res["table_region_id"]
                key = f"table_{table_region_id}"
                res_xlsx_dict[key] = table_res.xlsx["pred"]
        return res_xlsx_dict

    def _to_markdown(self, pretty=True) -> dict:
        """
        Save the parsing result to a Markdown file.

        Args:
            pretty (Optional[bool]): whether to pretty markdown by HTML, default by True.

        Returns:
            Dict
        """
        original_image_width = self["doc_preprocessor_res"]["output_img"].shape[1]

        if pretty:
            format_text_func = lambda block: format_centered_by_html(
                format_text_plain_func(block)
            )
            format_image_func = lambda block: format_centered_by_html(
                format_image_scaled_by_html_func(
                    block,
                    original_image_width=original_image_width,
                )
            )
        else:
            format_text_func = lambda block: block.content
            format_image_func = format_image_plain_func

        if self["model_settings"].get("use_chart_recognition", False):
            format_chart_func = format_chart2table_func
        else:
            format_chart_func = format_image_func

        if self["model_settings"].get("use_seal_recognition", False):
            format_seal_func = lambda block: "\n".join(
                [format_image_func(block), format_text_func(block)]
            )
        else:
            format_seal_func = format_image_func

        if self["model_settings"].get("use_table_recognition", False):
            if pretty:
                format_table_func = lambda block: "\n" + format_text_func(block)
            else:
                format_table_func = lambda block: simplify_table_func(
                    "\n" + block.content
                )
        else:
            format_table_func = format_image_func

        if self["model_settings"].get("use_formula_recognition", False):
            format_formula_func = lambda block: f"$${block.content}$$"
        else:
            format_formula_func = format_image_func

        handle_funcs_dict = {
            "paragraph_title": format_title_func,
            "abstract_title": format_title_func,
            "reference_title": format_title_func,
            "content_title": format_title_func,
            "doc_title": lambda block: f"# {block.content}".replace(
                "-\n",
                "",
            ).replace("\n", " "),
            "table_title": format_text_func,
            "figure_title": format_text_func,
            "chart_title": format_text_func,
            "text": lambda block: block.content.replace("\n\n", "\n").replace(
                "\n", "\n\n"
            ),
            "abstract": partial(
                format_first_line_func,
                templates=["摘要", "abstract"],
                format_func=lambda l: f"## {l}\n",
                spliter=" ",
            ),
            "content": lambda block: block.content.replace("-\n", "  \n").replace(
                "\n", "  \n"
            ),
            "image": format_image_func,
            "chart": format_chart_func,
            "formula": format_formula_func,
            "table": format_table_func,
            "reference": partial(
                format_first_line_func,
                templates=["参考文献", "references"],
                format_func=lambda l: f"## {l}",
                spliter="\n",
            ),
            "algorithm": lambda block: block.content.strip("\n"),
            "seal": format_seal_func,
        }

        markdown_content = ""
        last_label = None
        seg_start_flag = None
        seg_end_flag = None
        prev_block = None
        page_first_element_seg_start_flag = None
        page_last_element_seg_end_flag = None
        for block in self["parsing_res_list"]:
            seg_start_flag, seg_end_flag = get_seg_flag(block, prev_block)

            label = block.label
            page_first_element_seg_start_flag = (
                seg_start_flag
                if (page_first_element_seg_start_flag is None)
                else page_first_element_seg_start_flag
            )

            handle_func = handle_funcs_dict.get(label, None)
            if handle_func:
                prev_block = block
                if label == last_label == "text" and seg_start_flag == False:
                    markdown_content += handle_func(block)
                else:
                    markdown_content += (
                        "\n\n" + handle_func(block)
                        if markdown_content
                        else handle_func(block)
                    )
                last_label = label
        page_last_element_seg_end_flag = seg_end_flag

        markdown_info = {
            "markdown_texts": markdown_content,
            "page_continuation_flags": (
                page_first_element_seg_start_flag,
                page_last_element_seg_end_flag,
            ),
        }
        markdown_info["markdown_images"] = {}
        for img in self["imgs_in_doc"]:
            markdown_info["markdown_images"][img["path"]] = img["img"]

        return markdown_info


class LayoutParsingBlock:

    def __init__(self, label, bbox, content="") -> None:
        self.label = label
        self.order_label = None
        self.bbox = list(map(int, bbox))
        self.content = content
        self.seg_start_coordinate = float("inf")
        self.seg_end_coordinate = float("-inf")
        self.width = bbox[2] - bbox[0]
        self.height = bbox[3] - bbox[1]
        self.area = self.width * self.height
        self.num_of_lines = 1
        self.image = None
        self.index = None
        self.order_index = None
        self.text_line_width = 1
        self.text_line_height = 1
        self.direction = self.get_bbox_direction()
        self.child_blocks = []
        self.update_direction_info()

    def __str__(self) -> str:
        return f"{self.__dict__}"

    def __repr__(self) -> str:
        _str = f"\n\n#################\nindex:\t{self.index}\nlabel:\t{self.label}\nregion_label:\t{self.order_label}\nbbox:\t{self.bbox}\ncontent:\t{self.content}\n#################"
        return _str

    def to_dict(self) -> dict:
        return self.__dict__

    def update_direction_info(self) -> None:
        if self.direction == "horizontal":
            self.secondary_direction = "vertical"
            self.short_side_length = self.height
            self.long_side_length = self.width
            self.start_coordinate = self.bbox[0]
            self.end_coordinate = self.bbox[2]
            self.secondary_direction_start_coordinate = self.bbox[1]
            self.secondary_direction_end_coordinate = self.bbox[3]
        else:
            self.secondary_direction = "horizontal"
            self.short_side_length = self.width
            self.long_side_length = self.height
            self.start_coordinate = self.bbox[1]
            self.end_coordinate = self.bbox[3]
            self.secondary_direction_start_coordinate = self.bbox[0]
            self.secondary_direction_end_coordinate = self.bbox[2]

    def append_child_block(self, child_block: LayoutParsingBlock) -> None:
        if not self.child_blocks:
            self.ori_bbox = self.bbox.copy()
        x1, y1, x2, y2 = self.bbox
        x1_child, y1_child, x2_child, y2_child = child_block.bbox
        union_bbox = (
            min(x1, x1_child),
            min(y1, y1_child),
            max(x2, x2_child),
            max(y2, y2_child),
        )
        self.bbox = union_bbox
        self.update_direction_info()
        child_blocks = [child_block]
        if child_block.child_blocks:
            child_blocks.extend(child_block.get_child_blocks())
        self.child_blocks.extend(child_blocks)

    def get_child_blocks(self) -> list:
        self.bbox = self.ori_bbox
        child_blocks = self.child_blocks.copy()
        self.child_blocks = []
        return child_blocks

    def get_centroid(self) -> tuple:
        x1, y1, x2, y2 = self.bbox
        centroid = ((x1 + x2) / 2, (y1 + y2) / 2)
        return centroid

    def get_bbox_direction(self, direction_ratio: float = 1.0) -> bool:
        """
        Determine if a bounding box is horizontal or vertical.

        Args:
            bbox (List[float]): Bounding box [x_min, y_min, x_max, y_max].
            direction_ratio (float): Ratio for determining direction. Default is 1.0.

        Returns:
            str: "horizontal" or "vertical".
        """
        return (
            "horizontal" if self.width * direction_ratio >= self.height else "vertical"
        )


class LayoutParsingRegion:

    def __init__(
        self, bbox, blocks: List[LayoutParsingBlock] = [], image_shape=None
    ) -> None:
        self.bbox = bbox
        self.block_map = {}
        self.direction = "horizontal"
        self.calculate_bbox_metrics(image_shape)
        self.doc_title_block_idxes = []
        self.paragraph_title_block_idxes = []
        self.vision_block_idxes = []
        self.unordered_block_idxes = []
        self.vision_title_block_idxes = []
        self.normal_text_block_idxes = []
        self.header_block_idxes = []
        self.footer_block_idxes = []
        self.text_line_width = 20
        self.text_line_height = 10
        self.init_region_info_from_layout(blocks)
        self.init_direction_info()

    def init_region_info_from_layout(self, blocks: List[LayoutParsingBlock]):
        horizontal_normal_text_block_num = 0
        text_line_height_list = []
        text_line_width_list = []
        for idx, block in enumerate(blocks):
            self.block_map[idx] = block
            block.index = idx
            if block.label in BLOCK_LABEL_MAP["header_labels"]:
                self.header_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["doc_title_labels"]:
                self.doc_title_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["paragraph_title_labels"]:
                self.paragraph_title_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["vision_labels"]:
                self.vision_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["vision_title_labels"]:
                self.vision_title_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["footer_labels"]:
                self.footer_block_idxes.append(idx)
            elif block.label in BLOCK_LABEL_MAP["unordered_labels"]:
                self.unordered_block_idxes.append(idx)
            else:
                self.normal_text_block_idxes.append(idx)
                text_line_height_list.append(block.text_line_height)
                text_line_width_list.append(block.text_line_width)
                if block.direction == "horizontal":
                    horizontal_normal_text_block_num += 1
        self.direction = (
            "horizontal"
            if horizontal_normal_text_block_num
            >= len(self.normal_text_block_idxes) * 0.5
            else "vertical"
        )
        self.text_line_width = (
            np.mean(text_line_width_list) if text_line_width_list else 20
        )
        self.text_line_height = (
            np.mean(text_line_height_list) if text_line_height_list else 10
        )

    def init_direction_info(self):
        if self.direction == "horizontal":
            self.direction_start_index = 0
            self.direction_end_index = 2
            self.secondary_direction_start_index = 1
            self.secondary_direction_end_index = 3
            self.secondary_direction = "vertical"
        else:
            self.direction_start_index = 1
            self.direction_end_index = 3
            self.secondary_direction_start_index = 0
            self.secondary_direction_end_index = 2
            self.secondary_direction = "horizontal"

        self.direction_center_coordinate = (
            self.bbox[self.direction_start_index] + self.bbox[self.direction_end_index]
        ) / 2
        self.secondary_direction_center_coordinate = (
            self.bbox[self.secondary_direction_start_index]
            + self.bbox[self.secondary_direction_end_index]
        ) / 2

    def calculate_bbox_metrics(self, image_shape):
        x1, y1, x2, y2 = self.bbox
        width = x2 - x1
        image_height, image_width = image_shape
        x_center, y_center = (x1 + x2) / 2, (y1 + y2) / 2
        self.euclidean_distance = math.sqrt(((x1) ** 2 + (y1) ** 2))
        self.center_euclidean_distance = math.sqrt(((x_center) ** 2 + (y_center) ** 2))
        self.angle_rad = math.atan2(y_center, x_center)
        self.weighted_distance = (
            y1 + width + (x1 // (image_width // 10)) * (image_width // 10) * 1.5
        )

    def sort_normal_blocks(self, blocks):
        if self.direction == "horizontal":
            blocks.sort(
                key=lambda x: (
                    x.bbox[1] // self.text_line_height,
                    x.bbox[0] // self.text_line_width,
                    x.bbox[1] ** 2 + x.bbox[0] ** 2,
                ),
            )
        else:
            blocks.sort(
                key=lambda x: (
                    -x.bbox[0] // self.text_line_width,
                    x.bbox[1] // self.text_line_height,
                    -(x.bbox[2] ** 2 + x.bbox[1] ** 2),
                ),
            )

    def sort(self):
        from .xycut_enhanced import xycut_enhanced

        return xycut_enhanced(self)