



'''simple docstring'''
import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

snake_case_					:      int    			=    yaml.safe_load(
    '\\nname: ""\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: "Dataset Card for X" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: "Table of Contents"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: "Dataset Description"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: "Dataset Summary"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: "Supported Tasks and Leaderboards"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n'
)


snake_case_					:      Optional[int]    			=    {
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}


snake_case_					:      Optional[int]    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'


snake_case_					:      List[Any]    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      int    			=    {
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [
                                {
                                    'name': 'Extra Ignored Subsection',
                                    'text': '',
                                    'is_empty_text': True,
                                    'subsections': [],
                                }
                            ],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}

snake_case_					:      int    			=    '\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      Tuple    			=    (
    'The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README.'
)

snake_case_					:      Optional[Any]    			=    '\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      str    			=    (
    'The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README.'
)

snake_case_					:      Tuple    			=    '\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      Union[str, Any]    			=    'The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README.'

snake_case_					:      Any    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
snake_case_					:      Dict    			=    'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored).'


snake_case_					:      List[str]    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n'
snake_case_					:      List[str]    			=    'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found \'None\'.'

snake_case_					:      List[str]    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n'

snake_case_					:      Any    			=    'The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`.'


snake_case_					:      Any    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n'

snake_case_					:      str    			=    'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty.'

snake_case_					:      str    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
snake_case_					:      Union[str, Any]    			=    'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.'

snake_case_					:      Any    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n'

snake_case_					:      Optional[int]    			=    'The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README.'

snake_case_					:      Union[str, Any]    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      Optional[Any]    			=    'The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README.'

snake_case_					:      Tuple    			=    ''

snake_case_					:      Tuple    			=    'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README.'

snake_case_					:      str    			=    '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

snake_case_					:      Optional[int]    			=    'The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections.'






@pytest.mark.parametrize(
    'readme_md, expected_dict'    ,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):
						assert ReadMe.from_string(_lowerCAmelCase    ,    _lowerCAmelCase				).to_dict() == expected_dict






@pytest.mark.parametrize(
    'readme_md, expected_error'    ,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):






						with pytest.raises(_lowerCAmelCase    ,    match=re.escape(expected_error.format(path='root'				)				)				):
												_UpperCamelCase   :						int												=  ReadMe.from_string(_lowerCAmelCase    ,    _lowerCAmelCase				)
												readme.validate()






@pytest.mark.parametrize(
    'readme_md, expected_error'    ,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):






						with pytest.raises(_lowerCAmelCase    ,    match=re.escape(expected_error.format(path='root'				)				)				):
												ReadMe.from_string(_lowerCAmelCase    ,    _lowerCAmelCase				)






@pytest.mark.parametrize(
    'readme_md,'    ,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]    ,    )
def A__       (	UpperCAmelCase_				):
						ReadMe.from_string(_lowerCAmelCase    ,    _lowerCAmelCase    ,    suppress_parsing_errors=_lowerCAmelCase				)






@pytest.mark.parametrize(
    'readme_md, expected_dict'    ,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):






						with tempfile.TemporaryDirectory() as tmp_dir:
												_UpperCamelCase   :						List[str]												=  Path(_lowerCAmelCase				) / 'README.md'
												with open(_lowerCAmelCase    ,    'w+'				) as readme_file:
																		readme_file.write(_lowerCAmelCase				)
												_UpperCamelCase   :						Optional[int]												=  ReadMe.from_readme(_lowerCAmelCase    ,    _lowerCAmelCase				).to_dict()
												assert out["name"] == path
												assert out["text"] == ""
												assert out["is_empty_text"]
												assert out["subsections"] == expected_dict["subsections"]






@pytest.mark.parametrize(
    'readme_md, expected_error'    ,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):






						with tempfile.TemporaryDirectory() as tmp_dir:
												_UpperCamelCase   :						List[str]												=  Path(_lowerCAmelCase				) / 'README.md'
												with open(_lowerCAmelCase    ,    'w+'				) as readme_file:
																		readme_file.write(_lowerCAmelCase				)
												_UpperCamelCase   :						Tuple												=  expected_error.format(path=_lowerCAmelCase				)
												with pytest.raises(_lowerCAmelCase    ,    match=re.escape(_lowerCAmelCase				)				):
																		_UpperCamelCase   :						List[str]												=  ReadMe.from_readme(_lowerCAmelCase    ,    _lowerCAmelCase				)
																		readme.validate()






@pytest.mark.parametrize(
    'readme_md, expected_error'    ,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]    ,    )
def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):






						with tempfile.TemporaryDirectory() as tmp_dir:
												_UpperCamelCase   :						str												=  Path(_lowerCAmelCase				) / 'README.md'
												with open(_lowerCAmelCase    ,    'w+'				) as readme_file:
																		readme_file.write(_lowerCAmelCase				)
												_UpperCamelCase   :						List[str]												=  expected_error.format(path=_lowerCAmelCase				)
												with pytest.raises(_lowerCAmelCase    ,    match=re.escape(_lowerCAmelCase				)				):
																		ReadMe.from_readme(_lowerCAmelCase    ,    _lowerCAmelCase				)






@pytest.mark.parametrize(
    'readme_md,'    ,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]    ,    )
def A__       (	UpperCAmelCase_				):






						with tempfile.TemporaryDirectory() as tmp_dir:
												_UpperCamelCase   :						List[str]												=  Path(_lowerCAmelCase				) / 'README.md'
												with open(_lowerCAmelCase    ,    'w+'				) as readme_file:
																		readme_file.write(_lowerCAmelCase				)
												ReadMe.from_readme(_lowerCAmelCase    ,    _lowerCAmelCase    ,    suppress_parsing_errors=_lowerCAmelCase				)






from __future__ import annotations






class      UpperCamelCase:


					def __init__(    self						:		Optional[int]  ,     SCREAMING_SNAKE_CASE						:		str  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						str:




											'''simple docstring'''

											__snake_case		,       __snake_case				=		text, pattern
											__snake_case		,       __snake_case				=		len(SCREAMING_SNAKE_CASE    ), len(SCREAMING_SNAKE_CASE    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		Optional[Any]  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						int:




											'''simple docstring'''

											for i in range(self.patLen - 1  ,     -1  ,     -1    ):
																	if char == self.pattern[i]:
																							return i
											return -1


					def 				SCREAMING_SNAKE_CASE_	(    self						:		int  ,     SCREAMING_SNAKE_CASE						:		int    )      ->						int:




											'''simple docstring'''

											for i in range(self.patLen - 1  ,     -1  ,     -1    ):
																	if self.pattern[i] != self.text[current_pos + i]:
																							return current_pos + i
											return -1






					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[Any]    )      ->						list[int]:




											'''simple docstring'''

											__snake_case				=		[]
											for i in range(self.textLen - self.patLen + 1    ):
																	__snake_case				=		self.mismatch_in_text(SCREAMING_SNAKE_CASE    )
																	if mismatch_index == -1:
																							positions.append(SCREAMING_SNAKE_CASE    )
																	else:
																							__snake_case				=		self.match_in_pattern(self.text[mismatch_index]    )
																							__snake_case				=		(
																							    mismatch_index - match_index
																							)  # shifting index lgtm [py/multiple-definition]
											return positions




A				:       str      =  'ABAABA'
A				:       Optional[Any]      =  'AB'
A				:       Any      =  BoyerMooreSearch(text, pattern)
A				:       Tuple      =  bms.bad_character_heuristic()

if len(positions) == 0:
	print('No match found')
else:
	print('Pattern found in following positions: ')
	print(positions)





