<gh_stars>10-100
# -*- coding: utf-8 -*-
# File: data.py

# Copyright 2021 Dr. <NAME>. 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.

"""
Dataclasses for generating fixtures in conftest
"""
from dataclasses import dataclass
from typing import List, Tuple, Union

import numpy as np

from deepdoctection.datapoint import BoundingBox, CategoryAnnotation, ContainerAnnotation, ImageAnnotation
from deepdoctection.extern.base import DetectionResult, TokenClassResult
from deepdoctection.utils.detection_types import JsonDict
from deepdoctection.utils.settings import names


@dataclass
class Annotations:  # pylint: disable=R0904
    """
    dataclass Annotations for building fixtures
    """

    layout_detect_results = [
        DetectionResult(box=[100.0, 160.0, 200.0, 260.0], score=0.63, class_id=2, class_name=names.C.TITLE),
        DetectionResult(box=[120.0, 120.0, 140.0, 120.0], score=0.03, class_id=5, class_name=names.C.FIG),
        DetectionResult(box=[50.0, 50.0, 150.0, 200.0], score=0.97, class_id=4, class_name=names.C.TAB),
        DetectionResult(box=[100.0, 320.0, 150.0, 350.0], score=0.53, class_id=1, class_name=names.C.TEXT),
        DetectionResult(box=[200.0, 50.0, 250.0, 200.0], score=0.83, class_id=4, class_name=names.C.TAB),
    ]

    layout_anns = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=160.0, lrx=200.0, lry=260.0, absolute_coords=True),
            score=0.63,
            category_name=names.C.TITLE,
            category_id="2",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=50.0, uly=50.0, lrx=150.0, lry=200.0, absolute_coords=True),
            score=0.97,
            category_name=names.C.TAB,
            category_id="4",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=320.0, lrx=150.0, lry=350.0, absolute_coords=True),
            score=0.53,
            category_name=names.C.TEXT,
            category_id="1",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=200.0, uly=50.0, lrx=250.0, lry=200.0, absolute_coords=True),
            score=0.83,
            category_name=names.C.TAB,
            category_id="4",
        ),
    ]

    layout_ann_for_ordering = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=160.0, lrx=200.0, lry=260.0, absolute_coords=True),
            score=0.9,
            category_name=names.C.TITLE,
            category_id="2",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=300.0, lrx=250.0, lry=350.0, absolute_coords=True),
            score=0.8,
            category_name=names.C.TEXT,
            category_id="1",
        ),
    ]

    cell_detect_results = [
        [
            DetectionResult(box=[20.0, 20.0, 25.0, 30.0], score=0.8, class_id=1, class_name=names.C.HEAD),
            DetectionResult(box=[40.0, 40.0, 50.0, 50.0], score=0.53, class_id=2, class_name=names.C.BODY),
        ],
        [DetectionResult(box=[15.0, 20.0, 20.0, 30.0], score=0.4, class_id=1, class_name=names.C.BODY)],
    ]

    cell_layout_anns = [
        [
            ImageAnnotation(
                bounding_box=BoundingBox(ulx=20.0, uly=20.0, lrx=25.0, lry=30.0, absolute_coords=True),
                category_id="1",
                category_name=names.C.HEAD,
                score=0.8,
            ),
            ImageAnnotation(
                bounding_box=BoundingBox(ulx=40.0, uly=40.0, lrx=50.0, lry=50.0, absolute_coords=True),
                category_id="2",
                category_name=names.C.BODY,
                score=0.53,
            ),
        ],
        [
            ImageAnnotation(
                bounding_box=BoundingBox(ulx=15.0, uly=20.0, lrx=20.0, lry=30.0, absolute_coords=True),
                category_id="1",
                category_name=names.C.BODY,
                score=0.4,
            )
        ],
    ]

    global_cell_boxes = [
        [
            BoundingBox(absolute_coords=True, ulx=70.0, uly=70.0, lrx=75.0, lry=80.0),
            BoundingBox(absolute_coords=True, ulx=90.0, uly=90.0, lrx=100.0, lry=100.0),
        ],
        [BoundingBox(absolute_coords=True, ulx=215.0, uly=70.0, lrx=220.0, lry=80.0)],
    ]

    table_layout_ann = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=100.0, lrx=200.0, lry=400.0, absolute_coords=True),
            score=0.97,
            category_name=names.C.TAB,
            category_id="2",
        )
    ]

    cell_layout_anns_one_table = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=10.0, uly=100.0, lrx=20.0, lry=150.0, absolute_coords=True),
            score=0.8,
            category_name=names.C.CELL,
            category_id="3",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=10.0, uly=200.0, lrx=20.0, lry=250.0, absolute_coords=True),
            score=0.7,
            category_name=names.C.CELL,
            category_id="3",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=40.0, uly=100.0, lrx=50.0, lry=150.0, absolute_coords=True),
            score=0.6,
            category_name=names.C.CELL,
            category_id="3",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=40.0, uly=200.0, lrx=50.0, lry=250.0, absolute_coords=True),
            score=0.5,
            category_name=names.C.CELL,
            category_id="3",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=80.0, uly=260.0, lrx=90.0, lry=280.0, absolute_coords=True),
            score=0.4,
            category_name=names.C.CELL,
            category_id="3",
        ),
    ]

    row_layout_anns = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=15.0, uly=100.0, lrx=60.0, lry=150.0, absolute_coords=True),
            score=0.8,
            category_name=names.C.ROW,
            category_id="6",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=15.0, uly=200.0, lrx=70.0, lry=240.0, absolute_coords=True),
            score=0.7,
            category_name=names.C.ROW,
            category_id="6",
        ),
    ]

    row_box_tiling_table = [
        BoundingBox(ulx=101.0, uly=101.0, lrx=199.0, lry=250.0, absolute_coords=True),
        BoundingBox(ulx=101.0, uly=250.0, lrx=199.0, lry=399.0, absolute_coords=True),
    ]

    col_layout_anns = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=10.0, uly=50.0, lrx=20.0, lry=250.0, absolute_coords=True),
            score=0.3,
            category_name=names.C.COL,
            category_id="7",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=40.0, uly=20.0, lrx=50.0, lry=240.0, absolute_coords=True),
            score=0.2,
            category_name=names.C.COL,
            category_id="7",
        ),
    ]

    col_box_tiling_table = [
        BoundingBox(ulx=101.0, uly=101.0, lrx=120.0, lry=399.0, absolute_coords=True),
        BoundingBox(ulx=120.0, uly=101.0, lrx=199.0, lry=399.0, absolute_coords=True),
    ]

    row_sub_cats = [
        CategoryAnnotation(category_name=names.C.RN, category_id="1"),
        CategoryAnnotation(category_name=names.C.RN, category_id="2"),
    ]

    col_sub_cats = [
        CategoryAnnotation(category_name=names.C.CN, category_id="1"),
        CategoryAnnotation(category_name=names.C.CN, category_id="2"),
    ]

    cell_sub_cats = [
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="1"),
            CategoryAnnotation(category_name=names.C.CN, category_id="1"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="2"),
            CategoryAnnotation(category_name=names.C.CN, category_id="1"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="1"),
            CategoryAnnotation(category_name=names.C.CN, category_id="2"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="2"),
            CategoryAnnotation(category_name=names.C.CN, category_id="2"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="0"),
            CategoryAnnotation(category_name=names.C.CN, category_id="0"),
            CategoryAnnotation(category_name=names.C.RS, category_id="0"),
            CategoryAnnotation(category_name=names.C.CS, category_id="0"),
        ),
    ]

    cell_sub_cats_when_table_fully_tiled = [
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="1"),
            CategoryAnnotation(category_name=names.C.CN, category_id="1"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="2"),
            CategoryAnnotation(category_name=names.C.CN, category_id="1"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="1"),
            CategoryAnnotation(category_name=names.C.CN, category_id="2"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="2"),
            CategoryAnnotation(category_name=names.C.CN, category_id="2"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
        (
            CategoryAnnotation(category_name=names.C.RN, category_id="2"),
            CategoryAnnotation(category_name=names.C.CN, category_id="2"),
            CategoryAnnotation(category_name=names.C.RS, category_id="1"),
            CategoryAnnotation(category_name=names.C.CS, category_id="1"),
        ),
    ]

    summary_sub_cat_when_table_fully_tiled = (
        CategoryAnnotation(category_name=names.C.NR, category_id="2"),
        CategoryAnnotation(category_name=names.C.NC, category_id="2"),
        CategoryAnnotation(category_name=names.C.NRS, category_id="1"),
        CategoryAnnotation(category_name=names.C.NCS, category_id="1"),
    )

    summary_htab_sub_cat = ContainerAnnotation(
        category_name=names.C.HTAB, value="<table><tr><td></td><td></td></tr><tr><td></td><td></td></tr></table>"
    )

    word_results_list = [
        DetectionResult(
            box=[10.0, 10.0, 24.0, 23.0],
            score=0.8,
            text="foo",
            block="1",
            line="2",
            class_id=1,
            class_name=names.C.WORD,
        ),
        DetectionResult(
            box=[30.0, 20.0, 38.0, 25.0],
            score=0.2,
            text="bak",
            block="4",
            line="5",
            class_id=1,
            class_name=names.C.WORD,
        ),
    ]

    word_layout_ann = [
        ImageAnnotation(
            category_name=names.C.WORD,
            bounding_box=BoundingBox(absolute_coords=True, ulx=10.0, uly=10.0, width=14.0, height=13.0),
            score=0.8,
            category_id="1",
        ),
        ImageAnnotation(
            category_name=names.C.WORD,
            bounding_box=BoundingBox(absolute_coords=True, ulx=30.0, uly=20.0, width=8.0, height=5.0),
            score=0.2,
            category_id="1",
        ),
    ]

    word_layout_ann_for_matching = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=112.0, uly=210.0, lrx=119.0, lry=220.0, absolute_coords=True),
            score=0.9,
            category_name=names.C.WORD,
            category_id="8",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=145.0, uly=210.0, lrx=155.0, lry=220.0, absolute_coords=True),
            score=0.95,
            category_name=names.C.WORD,
            category_id="8",
        ),
    ]

    word_layout_for_ordering = [
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=110.0, uly=165.0, lrx=130.0, lry=180.0, absolute_coords=True),
            score=0.9,
            category_name=names.C.WORD,
            category_id="8",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=140.0, uly=162.0, lrx=180.0, lry=180.0, absolute_coords=True),
            score=0.8,
            category_name=names.C.WORD,
            category_id="8",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=100.0, uly=320.0, lrx=130.0, lry=340.0, absolute_coords=True),
            score=0.7,
            category_name=names.C.WORD,
            category_id="8",
        ),
        ImageAnnotation(
            bounding_box=BoundingBox(ulx=175.0, uly=320.0, lrx=205.0, lry=340.0, absolute_coords=True),
            score=0.6,
            category_name=names.C.WORD,
            category_id="8",
        ),
    ]

    word_sub_cats = [
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="foo"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="1"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="2"),
        ],
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="bak"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="4"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="5"),
        ],
    ]

    word_sub_cats_for_ordering = [
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="hello"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="1"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="1"),
        ],
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="world"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="1"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="2"),
        ],
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="bye"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="2"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="2"),
        ],
        [
            ContainerAnnotation(category_name=names.C.CHARS, value="world"),
            CategoryAnnotation(category_name=names.C.BLOCK, category_id="2"),
            CategoryAnnotation(category_name=names.C.TLINE, category_id="2"),
        ],
    ]

    word_box_global = [
        BoundingBox(absolute_coords=True, ulx=60.0, uly=60.0, width=14.0, height=13.0),
        BoundingBox(absolute_coords=True, ulx=80.0, uly=70.0, width=8.0, height=5.0),
        BoundingBox(absolute_coords=True, ulx=210.0, uly=60.0, width=14.0, height=13.0),
        BoundingBox(absolute_coords=True, ulx=230.0, uly=70.0, width=8.0, height=5.0),
    ]  # global coordinates calculated depending on table annotation from fixture image_annotations

    def __post_init__(self) -> None:
        self.layout_anns[0]._annotation_id = "a6e3e759-2ad8-3767-9855-bfe611d77073"  # pylint: disable=W0212
        self.layout_anns[1]._annotation_id = "06bf6a32-2cc8-3fdb-b742-d22381f135d1"  # pylint: disable=W0212
        self.layout_anns[2]._annotation_id = "982a2a72-c9af-39bd-a40e-bde5abb37927"  # pylint: disable=W0212
        self.layout_anns[3]._annotation_id = "07f8c1f9-a67a-32bf-a253-a394220cbac6"  # pylint: disable=W0212

    def get_layout_detect_results(self) -> List[DetectionResult]:
        """
        layout_detect_results
        """
        return self.layout_detect_results

    def get_layout_annotation(self, segmentation: bool = False) -> List[ImageAnnotation]:
        """
        layout_annotations
        """
        if segmentation:
            all_anns = []
            all_anns.extend(self.table_layout_ann)
            all_anns.extend(self.cell_layout_anns_one_table)
            all_anns.extend(self.row_layout_anns)
            all_anns.extend(self.col_layout_anns)
            return all_anns
        return self.layout_anns

    def get_layout_ann_for_ordering(self) -> List[ImageAnnotation]:
        """
        layout_ann_for_ordering
        """
        return self.layout_ann_for_ordering

    def get_cell_detect_results(self) -> List[List[DetectionResult]]:
        """
        cell_detect_results
        """
        return self.cell_detect_results

    def get_cell_annotations(self) -> List[List[ImageAnnotation]]:
        """
        cell_annotations
        """
        return self.cell_layout_anns

    def get_global_cell_boxes(self) -> List[List[BoundingBox]]:
        """
        global_cell_boxes
        """
        return self.global_cell_boxes

    def get_row_sub_cats(self) -> List[CategoryAnnotation]:
        """
        row_sub_cats
        """
        return self.row_sub_cats

    def get_col_sub_cats(self) -> List[CategoryAnnotation]:
        """
        col_sub_cats
        """
        return self.col_sub_cats

    def get_cell_sub_cats(
        self,
    ) -> List[Tuple[CategoryAnnotation, CategoryAnnotation, CategoryAnnotation, CategoryAnnotation]]:
        """
        cell_sub_cats
        """
        return self.cell_sub_cats

    def get_row_box_tiling_table(self) -> List[BoundingBox]:
        """
        row_box_tiling_table
        """
        return self.row_box_tiling_table

    def get_col_box_tiling_table(self) -> List[BoundingBox]:
        """
        col_box_tiling_table
        """
        return self.col_box_tiling_table

    def get_cell_sub_cats_when_table_fully_tiled(
        self,
    ) -> List[Tuple[CategoryAnnotation, CategoryAnnotation, CategoryAnnotation, CategoryAnnotation]]:
        """
        cell_sub_cats_when_table_fully_tiled
        """
        return self.cell_sub_cats_when_table_fully_tiled

    def get_summary_sub_cats_when_table_fully_tiled(
        self,
    ) -> Tuple[CategoryAnnotation, CategoryAnnotation, CategoryAnnotation, CategoryAnnotation]:
        """
        summary_sub_cats_when_table_fully_tiled
        """
        return self.summary_sub_cat_when_table_fully_tiled

    def get_summary_htab_sub_cat(self) -> ContainerAnnotation:
        """
        summary_htab_sub_cat
        """
        return self.summary_htab_sub_cat

    def get_word_detect_results(self) -> List[DetectionResult]:
        """
        word_detect_results
        """
        return self.word_results_list

    def get_double_word_detect_results(self) -> List[List[DetectionResult]]:
        """list of list of word results. The inner lists are identical"""
        return [self.word_results_list, self.word_results_list]

    def get_word_layout_ann(self) -> List[ImageAnnotation]:
        """
        word_layout_ann
        """
        return self.word_layout_ann

    def get_word_layout_ann_for_matching(self) -> List[ImageAnnotation]:
        """
        word_layout_ann_for_matching
        """
        return self.word_layout_ann_for_matching

    def get_word_layout_annotations_for_ordering(self) -> List[ImageAnnotation]:
        """
        word_layout_annotations_for_ordering
        """
        return self.word_layout_for_ordering

    def get_word_sub_cats(self) -> List[List[Union[ContainerAnnotation, CategoryAnnotation, CategoryAnnotation]]]:
        """
        word_sub_cats
        """
        return self.word_sub_cats

    def get_word_sub_cats_for_ordering(self) -> List[List[CategoryAnnotation]]:
        """
        word_sub_cats_for_ordering
        """
        return self.word_sub_cats_for_ordering

    def get_word_box_global(self) -> List[BoundingBox]:
        """
        word_box_global
        """
        return self.word_box_global


_SAMPLE_TEXTRACT = {
    "DocumentMetadata": {"Pages": 1},
    "Blocks": [
        {
            "BlockType": "PAGE",
            "Geometry": {
                "BoundingBox": {"Width": 1.0, "Height": 1.0, "Left": 0.0, "Top": 0.0},
                "Polygon": [
                    {"X": 1.5848370254932184e-16, "Y": 0.0},
                    {"X": 1.0, "Y": 9.463179803411622e-17},
                    {"X": 1.0, "Y": 1.0},
                    {"X": 0.0, "Y": 1.0},
                ],
            },
            "Id": "cc95c471-ee7f-4b22-bb2a-b5d5bd590e35",
            "Relationships": [
                {
                    "Type": "CHILD",
                    "Ids": [
                        "e4963e9b-97f5-4383-99a5-8cb93dc044ed",
                        "f70070e0-bc0b-4562-b624-0ede0f399c08",
                        "af4bd19f-5d3e-46ed-98b6-e95e41a080cd",
                        "9df29731-35d1-4651-8c58-675b5b62fe43",
                        "e2f7ae15-0350-46d3-bea1-87702e9820d4",
                        "42dcf959-4477-4a61-abc5-4f5677036e9c",
                        "12ea8d4f-089f-42d1-adf9-c16a1f53cf17",
                        "106c234a-bff2-45a2-8a7e-7adf0dbb00c3",
                        "467f8cec-661d-40d7-bdf4-4307eeeef7a3",
                        "116dd305-c168-4697-8fa4-2a4ad93332dc",
                        "38c504ec-51de-46c1-81f0-7c079991b03b",
                        "3b71267e-9dca-4584-8ca0-bb23e733c756",
                        "c6b8f01d-ffc6-4b12-8d80-9981a5552179",
                        "5b7d593c-6dec-4f3b-a8de-7c8ac7c48838",
                        "cc0ac51d-49f7-4c95-b00a-6e5013d37563",
                        "99480661-b153-45c2-bf31-34e4239215c7",
                        "5bc26570-4f78-4324-b93f-c3c83d224b91",
                        "b3448271-fc97-4a36-acee-85015f744c24",
                        "a1c546c2-e46d-4436-b36a-3c9b1eac2abf",
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    "DetectDocumentTextModelVersion": "1.0",
    "ResponseMetadata": {
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        "HTTPHeaders": {
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def get_textract_response() -> JsonDict:
    """
    sample aws textract response
    """
    return _SAMPLE_TEXTRACT


_LAYOUT_INPUT = {
    "image": np.ones((1000, 1000, 3)),
    "ids": [
        "CLS",
        "3a696daf-15d5-3b88-be63-02912ef35cfb",
        "37d79fd7-ab87-30fe-b460-9b6e62e901b9",
        "5d40236e-430c-3d56-a8a3-fe9e46b872ac",
        "f8227d59-ea7f-342a-97fa-23df1f189762",
        "SEP",
    ],
    "boxes": [
        [0.0, 0.0, 0.0, 0.0],
        [110.0, 165.0, 130.0, 180.0],
        [140.0, 162.0, 180.0, 180.0],
        [100.0, 320.0, 130.0, 340.0],
        [175.0, 320.0, 205.0, 340.0],
        [1000.0, 1000.0, 1000.0, 1000.0],
    ],
    "tokens": ["CLS", "hello", "world", "bye", "word", "SEP"],
    "input_ids": [[101, 9875, 3207, 15630, 8569, 102]],
    "attention_mask": [[1, 1, 1, 1, 1, 1]],
    "token_type_ids": [[0, 0, 0, 0, 0, 0]],
}


def get_layoutlm_input() -> JsonDict:
    """
    layout lm model input from tokenizer
    """
    return _LAYOUT_INPUT


def get_token_class_result() -> List[TokenClassResult]:
    """
    token class result
    """
    uuids = _LAYOUT_INPUT["ids"]
    input_ids = _LAYOUT_INPUT["input_ids"]
    token_class_predictions = [0, 1, 1, 2, 2, 0]
    tokens = _LAYOUT_INPUT["tokens"]
    class_name = ["O", "B-FOO", "B-FOO", "I-FOO", "I-FOO", "O"]
    semantic_name = ["OTHER", "FOO", "FOO", "FOO", "FOO", "OTHER"]
    bio_tag = ["O", "B", "B", "I", "I", "O"]
    return [
        TokenClassResult(
            uuid=out[0],
            token_id=out[1],
            class_id=out[2],
            token=out[3],
            class_name=out[4],
            semantic_name=out[5],
            bio_tag=out[6],
        )
        for out in zip(
            uuids, input_ids[0], token_class_predictions, tokens, class_name, semantic_name, bio_tag  # type: ignore
        )
    ]
