import random



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      bool:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   num - 1
  SCREAMING_SNAKE_CASE__    							=   0

  while s % 2 == 0:
    SCREAMING_SNAKE_CASE__    							=   s // 2
    t += 1

  for _ in range(5			):
    SCREAMING_SNAKE_CASE__    							=   random.randrange(2				,  num - 1			)
    SCREAMING_SNAKE_CASE__    							=   pow(__UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase			)
    if v != 1:
      SCREAMING_SNAKE_CASE__    							=   0
      while v != (num - 1):
        if i == t - 1:
          return False
        else:
          SCREAMING_SNAKE_CASE__    							=   i + 1
          SCREAMING_SNAKE_CASE__    							=   (v**2) % num
  return True



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      bool:







  """simple docstring"""





  if num < 2:
    return False

  SCREAMING_SNAKE_CASE__    							=   [
      2,
      3,
      5,
      7,
      11,
      13,
      17,
      19,
      23,
      29,
      31,
      37,
      41,
      43,
      47,
      53,
      59,
      61,
      67,
      71,
      73,
      79,
      83,
      89,
      97,
      1_01,
      1_03,
      1_07,
      1_09,
      1_13,
      1_27,
      1_31,
      1_37,
      1_39,
      1_49,
      1_51,
      1_57,
      1_63,
      1_67,
      1_73,
      1_79,
      1_81,
      1_91,
      1_93,
      1_97,
      1_99,
      2_11,
      2_23,
      2_27,
      2_29,
      2_33,
      2_39,
      2_41,
      2_51,
      2_57,
      2_63,
      2_69,
      2_71,
      2_77,
      2_81,
      2_83,
      2_93,
      3_07,
      3_11,
      3_13,
      3_17,
      3_31,
      3_37,
      3_47,
      3_49,
      3_53,
      3_59,
      3_67,
      3_73,
      3_79,
      3_83,
      3_89,
      3_97,
      4_01,
      4_09,
      4_19,
      4_21,
      4_31,
      4_33,
      4_39,
      4_43,
      4_49,
      4_57,
      4_61,
      4_63,
      4_67,
      4_79,
      4_87,
      4_91,
      4_99,
      5_03,
      5_09,
      5_21,
      5_23,
      5_41,
      5_47,
      5_57,
      5_63,
      5_69,
      5_71,
      5_77,
      5_87,
      5_93,
      5_99,
      6_01,
      6_07,
      6_13,
      6_17,
      6_19,
      6_31,
      6_41,
      6_43,
      6_47,
      6_53,
      6_59,
      6_61,
      6_73,
      6_77,
      6_83,
      6_91,
      7_01,
      7_09,
      7_19,
      7_27,
      7_33,
      7_39,
      7_43,
      7_51,
      7_57,
      7_61,
      7_69,
      7_73,
      7_87,
      7_97,
      8_09,
      8_11,
      8_21,
      8_23,
      8_27,
      8_29,
      8_39,
      8_53,
      8_57,
      8_59,
      8_63,
      8_77,
      8_81,
      8_83,
      8_87,
      9_07,
      9_11,
      9_19,
      9_29,
      9_37,
      9_41,
      9_47,
      9_53,
      9_67,
      9_71,
      9_77,
      9_83,
      9_91,
      9_97,
  ]

  if num in low_primes:
    return True

  for prime in low_primes:
    if (num % prime) == 0:
      return False

  return rabin_miller(__UpperCamelCase			)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int = 10_24			)							->      int:







  """simple docstring"""





  while True:
    SCREAMING_SNAKE_CASE__    							=   random.randrange(2 ** (keysize - 1)				,  2 ** (keysize)			)
    if is_prime_low_num(__UpperCamelCase			):
      return num


if __name__ == "__main__":
   __lowerCamelCase    :				Any							     =	generate_large_prime()
   print(('''Prime number:''', num))
   print(('''is_prime_low_num:''', is_prime_low_num(num)))

import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

__lowerCamelCase    :				str							     =	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
'''
)


__lowerCamelCase    :				str							     =	{
    '''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''': []},
                    ],
                },
            ],
        }
    ],
}


__lowerCamelCase    :				Any							     =	'''\
---
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
'''


__lowerCamelCase    :				List[Any]							     =	'''\
---
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
'''

__lowerCamelCase    :				Dict							     =	{
    '''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''': []},
                    ],
                },
            ],
        }
    ],
}

__lowerCamelCase    :				int							     =	'''\
---
---
# 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
'''

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

__lowerCamelCase    :				List[Any]							     =	'''\
# 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
'''

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

__lowerCamelCase    :				List[str]							     =	'''\
---
# 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
'''

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

__lowerCamelCase    :				str							     =	'''\
---
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
'''
__lowerCamelCase    :				Any							     =	'''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).'''


__lowerCamelCase    :				List[Any]							     =	'''\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
'''
__lowerCamelCase    :				int							     =	'''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\'.'''

__lowerCamelCase    :				Optional[int]							     =	'''\
---
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
'''

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


__lowerCamelCase    :				Optional[Any]							     =	'''\
---
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
'''

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

__lowerCamelCase    :				List[str]							     =	'''\
---
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
'''
__lowerCamelCase    :				List[str]							     =	'''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.'''

__lowerCamelCase    :				int							     =	'''\
---
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
'''

__lowerCamelCase    :				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.'''

__lowerCamelCase    :				List[Any]							     =	'''\
---
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
'''

__lowerCamelCase    :				int							     =	'''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.'''

__lowerCamelCase    :				Optional[Any]							     =	''''''

__lowerCamelCase    :				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.\n-\tNo YAML markers are present in the README.'''

__lowerCamelCase    :				str							     =	'''\
---
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
'''

__lowerCamelCase    :				Dict							     =	'''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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Union[str, Any]				,  __UpperCamelCase					: Union[str, Any]			)							->      Dict:







  """simple docstring"""





  assert ReadMe.from_string(__UpperCamelCase				,  __UpperCamelCase			).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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[Any]				,  __UpperCamelCase					: Dict			)							->      Union[str, Any]:







  """simple docstring"""





  with pytest.raises(__UpperCamelCase				,  match=re.escape(expected_error.format(path="""root"""			)			)			):
    SCREAMING_SNAKE_CASE__    							=   ReadMe.from_string(__UpperCamelCase				,  __UpperCamelCase			)
    readme.validate()



@pytest.mark.parametrize(
    """readme_md, expected_error"""				,  [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]				,  )
def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: Optional[Any]			)							->      Any:







  """simple docstring"""





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



@pytest.mark.parametrize(
    """readme_md,"""				,  [
        (README_MULTIPLE_SAME_HEADING_1),
    ]				,  )
def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]			)							->      List[Any]:







  """simple docstring"""





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



@pytest.mark.parametrize(
    """readme_md, expected_dict"""				,  [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]				,  )
def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Any				,  __UpperCamelCase					: Union[str, Any]			)							->      Dict:







  """simple docstring"""





  with tempfile.TemporaryDirectory() as tmp_dir:
    SCREAMING_SNAKE_CASE__    							=   Path(__UpperCamelCase			) / """README.md"""
    with open(__UpperCamelCase				,  """w+"""			) as readme_file:
      readme_file.write(__UpperCamelCase			)
    SCREAMING_SNAKE_CASE__    							=   ReadMe.from_readme(__UpperCamelCase				,  __UpperCamelCase			).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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: List[str]				,  __UpperCamelCase					: Any			)							->      Optional[Any]:







  """simple docstring"""





  with tempfile.TemporaryDirectory() as tmp_dir:
    SCREAMING_SNAKE_CASE__    							=   Path(__UpperCamelCase			) / """README.md"""
    with open(__UpperCamelCase				,  """w+"""			) as readme_file:
      readme_file.write(__UpperCamelCase			)
    SCREAMING_SNAKE_CASE__    							=   expected_error.format(path=__UpperCamelCase			)
    with pytest.raises(__UpperCamelCase				,  match=re.escape(__UpperCamelCase			)			):
      SCREAMING_SNAKE_CASE__    							=   ReadMe.from_readme(__UpperCamelCase				,  __UpperCamelCase			)
      readme.validate()



@pytest.mark.parametrize(
    """readme_md, expected_error"""				,  [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]				,  )
def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: List[Any]				,  __UpperCamelCase					: Optional[int]			)							->      Optional[Any]:







  """simple docstring"""





  with tempfile.TemporaryDirectory() as tmp_dir:
    SCREAMING_SNAKE_CASE__    							=   Path(__UpperCamelCase			) / """README.md"""
    with open(__UpperCamelCase				,  """w+"""			) as readme_file:
      readme_file.write(__UpperCamelCase			)
    SCREAMING_SNAKE_CASE__    							=   expected_error.format(path=__UpperCamelCase			)
    with pytest.raises(__UpperCamelCase				,  match=re.escape(__UpperCamelCase			)			):
      ReadMe.from_readme(__UpperCamelCase				,  __UpperCamelCase			)






@pytest.mark.parametrize(
    """readme_md,"""				,  [
        (README_MULTIPLE_SAME_HEADING_1),
    ]				,  )
def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[Any]			)							->      List[Any]:







  """simple docstring"""





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