import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError

from transformers import (
    AlbertTokenizer,
    AutoTokenizer,
    BertTokenizer,
    BertTokenizerFast,
    GPTaTokenizerFast,
    is_tokenizers_available,
)
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_tokenizers
from transformers.tokenization_utils import Trie


sys.path.append(str(Path(__file__).parent.parent / '''utils'''))

from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
   from test_module.custom_tokenization_fast import CustomTokenizerFast







class __snake_case       (		unittest.TestCase	):




   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   mock.Mock()
     SCREAMING_SNAKE_CASE__    							=   5_00
     SCREAMING_SNAKE_CASE__    							=   {}
     SCREAMING_SNAKE_CASE__    							=   HTTPError
     SCREAMING_SNAKE_CASE__    							=   {}

     # Download this model to make sure it's in the cache.
     SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained("""hf-internal-testing/tiny-random-bert"""   )

     # Under the mock environment we get a 500 error when trying to reach the tokenizer.
     with mock.patch("""requests.Session.request""" ,			return_value=lowerCAmelCase_   ) as mock_head:
       SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained("""hf-internal-testing/tiny-random-bert"""   )
       # This check we did call the fake head request
       mock_head.assert_called()




   @require_tokenizers
   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   mock.Mock()
     SCREAMING_SNAKE_CASE__    							=   5_00
     SCREAMING_SNAKE_CASE__    							=   {}
     SCREAMING_SNAKE_CASE__    							=   HTTPError
     SCREAMING_SNAKE_CASE__    							=   {}

     # Download this model to make sure it's in the cache.
     SCREAMING_SNAKE_CASE__    							=   GPTaTokenizerFast.from_pretrained("""gpt2"""   )

     # Under the mock environment we get a 500 error when trying to reach the tokenizer.
     with mock.patch("""requests.Session.request""" ,			return_value=lowerCAmelCase_   ) as mock_head:
       SCREAMING_SNAKE_CASE__    							=   GPTaTokenizerFast.from_pretrained("""gpt2"""   )
       # This check we did call the fake head request
       mock_head.assert_called()




   def 			__a		(					self    :       Any   ):



     """simple docstring"""






     try:
       SCREAMING_SNAKE_CASE__    							=   tempfile.mktemp()
       with open(lowerCAmelCase_ ,			"""wb"""   ) as f:
         http_get("""https://huggingface.co/albert-base-v1/resolve/main/spiece.model""" ,			lowerCAmelCase_   )

       SCREAMING_SNAKE_CASE__    							=   AlbertTokenizer.from_pretrained(lowerCAmelCase_   )
     finally:
       os.remove(lowerCAmelCase_   )

     # Supporting this legacy load introduced a weird bug where the tokenizer would load local files if they are in
     # the current folder and have the right name.
     if os.path.isfile("""tokenizer.json"""   ):
       # We skip the test if the user has a `tokenizer.json` in this folder to avoid deleting it.
       return
     try:
       with open("""tokenizer.json""" ,			"""wb"""   ) as f:
         http_get("""https://huggingface.co/hf-internal-testing/tiny-random-bert/blob/main/tokenizer.json""" ,			lowerCAmelCase_   )
       SCREAMING_SNAKE_CASE__    							=   AutoTokenizer.from_pretrained("""hf-internal-testing/tiny-random-gpt2"""   )
       # The tiny random BERT has a vocab size of 1024, tiny gpt2 as a vocab size of 1000
       self.assertEqual(tokenizer.vocab_size ,			10_00   )
       # Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

     finally:
       os.remove("""tokenizer.json"""   )




   def 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   AlbertTokenizer.from_pretrained("""https://huggingface.co/albert-base-v1/resolve/main/spiece.model"""   )







@is_staging_test
class __snake_case       (		unittest.TestCase	):
   lowerCAmelCase_														=							["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]




   @classmethod
   def 			__a		(					cls    :       Dict   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   TOKEN
     HfFolder.save_token(lowerCAmelCase_   )




   @classmethod
   def 			__a		(					cls    :       Optional[Any]   ):



     """simple docstring"""






     try:
       delete_repo(token=cls._token ,			repo_id="""test-tokenizer"""   )
     except HTTPError:
       pass

     try:
       delete_repo(token=cls._token ,			repo_id="""valid_org/test-tokenizer-org"""   )
     except HTTPError:
       pass

     try:
       delete_repo(token=cls._token ,			repo_id="""test-dynamic-tokenizer"""   )
     except HTTPError:
       pass




   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     with tempfile.TemporaryDirectory() as tmp_dir:
       SCREAMING_SNAKE_CASE__    							=   os.path.join(lowerCAmelCase_ ,			"""vocab.txt"""   )
       with open(lowerCAmelCase_ ,			"""w""" ,			encoding="""utf-8"""   ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in self.vocab_tokens]   )   )
       SCREAMING_SNAKE_CASE__    							=   BertTokenizer(lowerCAmelCase_   )

     tokenizer.push_to_hub("""test-tokenizer""" ,			use_auth_token=self._token   )
     SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained(f"""{USER}/test-tokenizer"""   )
     self.assertDictEqual(new_tokenizer.vocab ,			tokenizer.vocab   )

     # Reset repo
     delete_repo(token=self._token ,			repo_id="""test-tokenizer"""   )

     # Push to hub via save_pretrained
     with tempfile.TemporaryDirectory() as tmp_dir:
       tokenizer.save_pretrained(lowerCAmelCase_ ,			repo_id="""test-tokenizer""" ,			push_to_hub=lowerCAmelCase_ ,			use_auth_token=self._token   )

     SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained(f"""{USER}/test-tokenizer"""   )
     self.assertDictEqual(new_tokenizer.vocab ,			tokenizer.vocab   )




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     with tempfile.TemporaryDirectory() as tmp_dir:
       SCREAMING_SNAKE_CASE__    							=   os.path.join(lowerCAmelCase_ ,			"""vocab.txt"""   )
       with open(lowerCAmelCase_ ,			"""w""" ,			encoding="""utf-8"""   ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in self.vocab_tokens]   )   )
       SCREAMING_SNAKE_CASE__    							=   BertTokenizer(lowerCAmelCase_   )

     tokenizer.push_to_hub("""valid_org/test-tokenizer-org""" ,			use_auth_token=self._token   )
     SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained("""valid_org/test-tokenizer-org"""   )
     self.assertDictEqual(new_tokenizer.vocab ,			tokenizer.vocab   )

     # Reset repo
     delete_repo(token=self._token ,			repo_id="""valid_org/test-tokenizer-org"""   )

     # Push to hub via save_pretrained
     with tempfile.TemporaryDirectory() as tmp_dir:
       tokenizer.save_pretrained(
           lowerCAmelCase_ ,			repo_id="""valid_org/test-tokenizer-org""" ,			push_to_hub=lowerCAmelCase_ ,			use_auth_token=self._token   )

     SCREAMING_SNAKE_CASE__    							=   BertTokenizer.from_pretrained("""valid_org/test-tokenizer-org"""   )
     self.assertDictEqual(new_tokenizer.vocab ,			tokenizer.vocab   )




   @require_tokenizers
   def 			__a		(					self    :       Any   ):



     """simple docstring"""






     CustomTokenizer.register_for_auto_class()
     with tempfile.TemporaryDirectory() as tmp_dir:
       SCREAMING_SNAKE_CASE__    							=   os.path.join(lowerCAmelCase_ ,			"""vocab.txt"""   )
       with open(lowerCAmelCase_ ,			"""w""" ,			encoding="""utf-8"""   ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in self.vocab_tokens]   )   )
       SCREAMING_SNAKE_CASE__    							=   CustomTokenizer(lowerCAmelCase_   )

     # No fast custom tokenizer
     tokenizer.push_to_hub("""test-dynamic-tokenizer""" ,			use_auth_token=self._token   )

     SCREAMING_SNAKE_CASE__    							=   AutoTokenizer.from_pretrained(f"""{USER}/test-dynamic-tokenizer""" ,			trust_remote_code=lowerCAmelCase_   )
     # Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
     self.assertEqual(tokenizer.__class__.__name__ ,			"""CustomTokenizer"""   )

     # Fast and slow custom tokenizer
     CustomTokenizerFast.register_for_auto_class()
     with tempfile.TemporaryDirectory() as tmp_dir:
       SCREAMING_SNAKE_CASE__    							=   os.path.join(lowerCAmelCase_ ,			"""vocab.txt"""   )
       with open(lowerCAmelCase_ ,			"""w""" ,			encoding="""utf-8"""   ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in self.vocab_tokens]   )   )

       SCREAMING_SNAKE_CASE__    							=   BertTokenizerFast.from_pretrained(lowerCAmelCase_   )
       bert_tokenizer.save_pretrained(lowerCAmelCase_   )
       SCREAMING_SNAKE_CASE__    							=   CustomTokenizerFast.from_pretrained(lowerCAmelCase_   )

     tokenizer.push_to_hub("""test-dynamic-tokenizer""" ,			use_auth_token=self._token   )

     SCREAMING_SNAKE_CASE__    							=   AutoTokenizer.from_pretrained(f"""{USER}/test-dynamic-tokenizer""" ,			trust_remote_code=lowerCAmelCase_   )
     # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
     self.assertEqual(tokenizer.__class__.__name__ ,			"""CustomTokenizerFast"""   )
     SCREAMING_SNAKE_CASE__    							=   AutoTokenizer.from_pretrained(
         f"""{USER}/test-dynamic-tokenizer""" ,			use_fast=lowerCAmelCase_ ,			trust_remote_code=lowerCAmelCase_   )
     # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
     self.assertEqual(tokenizer.__class__.__name__ ,			"""CustomTokenizer"""   )







class __snake_case       (		unittest.TestCase	):




   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""Hello 友達"""   )
     self.assertEqual(trie.data ,			{"""H""": {"""e""": {"""l""": {"""l""": {"""o""": {""" """: {"""友""": {"""達""": {"""""": 1}}}}}}}}}   )
     trie.add("""Hello"""   )
     trie.data
     self.assertEqual(trie.data ,			{"""H""": {"""e""": {"""l""": {"""l""": {"""o""": {"""""": 1, """ """: {"""友""": {"""達""": {"""""": 1}}}}}}}}}   )




   def 			__a		(					self    :       List[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     self.assertEqual(trie.split("""[CLS] This is a extra_id_100"""   ) ,			["""[CLS] This is a extra_id_100"""]   )
     trie.add("""[CLS]"""   )
     trie.add("""extra_id_1"""   )
     trie.add("""extra_id_100"""   )
     self.assertEqual(trie.split("""[CLS] This is a extra_id_100"""   ) ,			["""[CLS]""", """ This is a """, """extra_id_100"""]   )




   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""A"""   )
     self.assertEqual(trie.split("""ABC"""   ) ,			["""A""", """BC"""]   )
     self.assertEqual(trie.split("""BCA"""   ) ,			["""BC""", """A"""]   )




   def 			__a		(					self    :       Any   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""TOKEN]"""   )
     trie.add("""[SPECIAL_TOKEN]"""   )
     self.assertEqual(trie.split("""This is something [SPECIAL_TOKEN]"""   ) ,			["""This is something """, """[SPECIAL_TOKEN]"""]   )




   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""A"""   )
     trie.add("""P"""   )
     trie.add("""[SPECIAL_TOKEN]"""   )
     self.assertEqual(trie.split("""This is something [SPECIAL_TOKEN]"""   ) ,			["""This is something """, """[SPECIAL_TOKEN]"""]   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""AB"""   )
     trie.add("""B"""   )
     trie.add("""C"""   )
     self.assertEqual(trie.split("""ABC"""   ) ,			["""AB""", """C"""]   )




   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     trie.add("""ABC"""   )
     trie.add("""B"""   )
     trie.add("""CD"""   )
     self.assertEqual(trie.split("""ABCD"""   ) ,			["""ABC""", """D"""]   )




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Trie()
     SCREAMING_SNAKE_CASE__    							=   trie.cut_text("""ABC""" ,			[0, 0, 2, 1, 2, 3]   )
     self.assertEqual(lowerCAmelCase_ ,			["""AB""", """C"""]   )

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			)
