

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


snake_case_        =			{
    '''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''


snake_case_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
#### Extra Ignored Subsection
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

snake_case_        =			{
    '''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_        =			'''\
---
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

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

snake_case_        =			'''\
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

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

snake_case_        =			'''\
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

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

snake_case_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
Language Text
'''
snake_case_        =			'''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
'''
snake_case_        =			'''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Languages
Language Text
'''

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


snake_case_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
'''

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

snake_case_        =			'''\
---
language:
- zh
- en
---

## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''
snake_case_        =			'''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
# Dataset Card My Dataset
'''

snake_case_        =			'''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

snake_case_        =			'''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_        =			''''''

snake_case_        =			'''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_        =			'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
'''

snake_case_        =			'''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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Union[str, Any]     ,					SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





     assert ReadMe.from_string(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ).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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]     ,					SCREAMING_SNAKE_CASE_		:   Dict      ):



     '''simple docstring'''





     with pytest.raises(SCREAMING_SNAKE_CASE_     ,					match=re.escape(expected_error.format(path='root'      )      )      ):
          lowercase__   :       Tuple				=	ReadMe.from_string(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
          readme.validate()

@pytest.mark.parametrize(
    'readme_md, expected_error'     ,					[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]     ,					)
def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Tuple     ,					SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



     '''simple docstring'''





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

@pytest.mark.parametrize(
    'readme_md,'     ,					[
        (README_MULTIPLE_SAME_HEADING_1),
    ]     ,					)
def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]      ):



     '''simple docstring'''





     ReadMe.from_string(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_     ,					suppress_parsing_errors=SCREAMING_SNAKE_CASE_      )

@pytest.mark.parametrize(
    'readme_md, expected_dict'     ,					[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]     ,					)
def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]     ,					SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





     with tempfile.TemporaryDirectory() as tmp_dir:
          lowercase__   :       Union[str, Any]				=	Path(SCREAMING_SNAKE_CASE_      ) / 'README.md'
          with open(SCREAMING_SNAKE_CASE_     ,					'w+'      ) as readme_file:
               readme_file.write(SCREAMING_SNAKE_CASE_      )
          lowercase__   :       Any				=	ReadMe.from_readme(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      ).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      snake_case__      (   SCREAMING_SNAKE_CASE_		:   List[Any]     ,					SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





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

@pytest.mark.parametrize(
    'readme_md, expected_error'     ,					[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]     ,					)
def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[int]     ,					SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





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

@pytest.mark.parametrize(
    'readme_md,'     ,					[
        (README_MULTIPLE_SAME_HEADING_1),
    ]     ,					)
def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Tuple      ):



     '''simple docstring'''





     with tempfile.TemporaryDirectory() as tmp_dir:
          lowercase__   :       Union[str, Any]				=	Path(SCREAMING_SNAKE_CASE_      ) / 'README.md'
          with open(SCREAMING_SNAKE_CASE_     ,					'w+'      ) as readme_file:
               readme_file.write(SCREAMING_SNAKE_CASE_      )
          ReadMe.from_readme(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_     ,					suppress_parsing_errors=SCREAMING_SNAKE_CASE_      )




import math
import sys

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     if number != int(SCREAMING_SNAKE_CASE_      ):
          raise ValueError('the value of input must be a natural number'      )
     if number < 0:
          raise ValueError('the value of input must not be a negative number'      )
     if number == 0:
          return 1
     lowercase__   :       Tuple				=	[-1] * (number + 1)
     lowercase__   :       Tuple				=	0
     for i in range(1     ,					number + 1      ):
          lowercase__   :       Tuple				=	sys.maxsize
          lowercase__   :       str				=	int(math.sqrt(SCREAMING_SNAKE_CASE_      )      )
          for j in range(1     ,					root + 1      ):
               lowercase__   :       List[Any]				=	1 + answers[i - (j**2)]
               lowercase__   :       str				=	min(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
          lowercase__   :       List[str]				=	answer
     return answers[number]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

