


import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

__magic_name__  	=     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
'''
)


__magic_name__  	=     {
    '''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''': []},
                    ],
                },
            ],
        }
    ],
}


__magic_name__  	=     '''\
---
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
'''


__magic_name__  	=     '''\
---
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
'''

__magic_name__  	=     {
    '''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''': []},
                    ],
                },
            ],
        }
    ],
}

__magic_name__  	=     '''\
---
---
# 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
'''

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

__magic_name__  	=     '''\
# 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
'''

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

__magic_name__  	=     '''\
---
# 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
'''

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

__magic_name__  	=     '''\
---
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
'''
__magic_name__  	=     '''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).'''


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

# Dataset Card for My Dataset
'''
__magic_name__  	=     '''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\'.'''

__magic_name__  	=     '''\
---
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
'''

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


__magic_name__  	=     '''\
---
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
'''

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

__magic_name__  	=     '''\
---
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
'''
__magic_name__  	=     '''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.'''

__magic_name__  	=     '''\
---
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
'''

__magic_name__  	=     '''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.'''

__magic_name__  	=     '''\
---
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
'''

__magic_name__  	=     '''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.'''

__magic_name__  	=     ''''''

__magic_name__  	=     '''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.'''

__magic_name__  	=     '''\
---
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
'''

__magic_name__  	=     '''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 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


	assert ReadMe.from_string(_snake_case     ,	_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 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


	with pytest.raises(_snake_case     ,	match=re.escape(expected_error.format(path="root"))):
		lowerCamelCase_					:				List[str]              =  ReadMe.from_string(_snake_case     ,	_snake_case)
		readme.validate()







@pytest.mark.parametrize(
    "readme_md, expected_error"     ,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]     ,	)
def 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


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







@pytest.mark.parametrize(
    "readme_md,"     ,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]     ,	)
def 							__magic_name__    (     lowerCAmelCase_):
	'''simple docstring'''


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







@pytest.mark.parametrize(
    "readme_md, expected_dict"     ,	[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]     ,	)
def 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


	with tempfile.TemporaryDirectory() as tmp_dir:
		lowerCamelCase_					:				List[Any]              =  Path(_snake_case) / "README.md"
		with open(_snake_case     ,	"w+") as readme_file:
			readme_file.write(_snake_case)
		lowerCamelCase_					:				Optional[int]              =  ReadMe.from_readme(_snake_case     ,	_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 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


	with tempfile.TemporaryDirectory() as tmp_dir:
		lowerCamelCase_					:				Dict              =  Path(_snake_case) / "README.md"
		with open(_snake_case     ,	"w+") as readme_file:
			readme_file.write(_snake_case)
		lowerCamelCase_					:				List[Any]              =  expected_error.format(path=_snake_case)
		with pytest.raises(_snake_case     ,	match=re.escape(_snake_case)):
			lowerCamelCase_					:				Optional[int]              =  ReadMe.from_readme(_snake_case     ,	_snake_case)
			readme.validate()







@pytest.mark.parametrize(
    "readme_md, expected_error"     ,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]     ,	)
def 							__magic_name__    (     lowerCAmelCase_     ,	lowerCAmelCase_):
	'''simple docstring'''


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







@pytest.mark.parametrize(
    "readme_md,"     ,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]     ,	)
def 							__magic_name__    (     lowerCAmelCase_):
	'''simple docstring'''


	with tempfile.TemporaryDirectory() as tmp_dir:
		lowerCamelCase_					:				str              =  Path(_snake_case) / "README.md"
		with open(_snake_case     ,	"w+") as readme_file:
			readme_file.write(_snake_case)
		ReadMe.from_readme(_snake_case     ,	_snake_case     ,	suppress_parsing_errors=_snake_case)






import itertools
import math

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int				)  ->     bool:

   if 1 < number < 4:
      # 2 and 3 are primes
      return True
   elif number < 2 or number % 2 == 0 or number % 3 == 0:
      # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
      return False

   # All primes number are in format of 6k +/- 1
   for i in range(5	,   int(math.sqrt(_snake_case				) + 1				)	,   6				):
      if number % i == 0 or number % (i + 2) == 0:
         return False
   return True

def 	SCREAMING_SNAKE_CASE_							(	)  ->     Dict:
   _A      =       2
   while True:
      if is_prime(_snake_case				):
         yield num
      num += 1

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int = 10_001				)  ->     int:
   return next(itertools.islice(prime_generator()	,   nth - 1	,   _snake_case				)				)


if __name__ == "__main__":
   print(f'{solution() = }')



