code: 
  
  
  
  
  
  
  import logging
  from pathlib import Path
  from typing import Any, List, Tuple
  
  import yaml
  
  
  # loading package files: https://stackoverflow.com/a/20885799
  try:
     import importlib.resources as pkg_resources
  except ImportError:
     # Try backported to PY<37 `importlib_resources`.
     import importlib_resources as pkg_resources
  
  from . import resources
  
  
  lowerCamelCase										=  '''https://github.com/huggingface/datasets/tree/main/src/datasets/utils'''
  lowerCamelCase										=  f"{BASE_REF_URL}/{__file__}"
  lowerCamelCase										=  logging.getLogger(__name__)
  def        UpperCAmelCase      (   _lowercase      ):
  
  
      '''simple docstring'''
  
  
  
      _lowercase     =	pkg_resources.read_text(_lowercase,      _lowercase      )
      return yaml.safe_load(_lowercase      ), f'''{BASE_REF_URL}/resources/{resource}'''
  
  
  lowerCamelCase						,		lowerCamelCase										=  load_yaml_resource('''readme_structure.yaml''')
  
  lowerCamelCase										=  [
      '''[Needs More Information]''',
      '''[More Information Needed]''',
      '''(https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)''',
  ]
  
  # Dictionary representation of section/readme, error_list, warning_list
  lowerCamelCase										=  Tuple[dict, List[str], List[str]]
  
  class 					snake_case_							:
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
     def __init__(    self:	Optional[Any]   ,       snake_case__:	str   ,       snake_case__:	str   ,       snake_case__:	List[str] = None   ,       snake_case__:	bool = False	)  ->		Optional[Any]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	name
         _lowercase     =	level
         _lowercase     =	lines
         _lowercase     =	''
         _lowercase     =	True
         _lowercase     =	{}
         _lowercase     =	[]
         _lowercase     =	[]
         if self.lines is not None:
             self.parse(suppress_parsing_errors=snake_case__	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[int]   ,       snake_case__:	bool = False	)  ->		Tuple:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	''
         _lowercase     =	[]
         _lowercase     =	False
         for line in self.lines:
             if line.strip(' \n'	) == "":
                 continue
             elif line.strip(' \n'	)[:3] == "```":
                 _lowercase     =	not code_start
             elif line.split()[0] == self.level + "#" and not code_start:
                 if current_sub_level != "":
                     _lowercase     =	Section(snake_case__   ,       self.level + '#'   ,       snake_case__	)
                     _lowercase     =	[]
                 else:
                     if current_lines != []:
                         self.text += "".join(snake_case__	).strip()
                         if self.text != "" and self.text not in FILLER_TEXT:
                             _lowercase     =	False
                         _lowercase     =	[]
  
                 _lowercase     =	' '.join(line.split()[1:]	).strip(' \n'	)
             else:
                 current_lines.append(snake_case__	)
         else:
             if current_sub_level != "":
                 if current_sub_level in self.content:
                     self.parsing_error_list.append(
                         f'''Multiple sections with the same heading `{current_sub_level}` have been found. Please keep only one of these sections.'''	)
                 _lowercase     =	Section(snake_case__   ,       self.level + '#'   ,       snake_case__	)
             else:
                 if current_lines != []:
                     self.text += "".join(snake_case__	).strip()
                     if self.text != "" and self.text not in FILLER_TEXT:
                         _lowercase     =	False
  
         if self.level == "" and not suppress_parsing_errors:
             if self.parsing_error_list != [] or self.parsing_warning_list != []:
                 _lowercase     =	_lowercase     =	'\n'.join('-\t' + x for x in self.parsing_error_list + self.parsing_warning_list	)
                 _lowercase     =	f'''The following issues were found while parsing the README at `{self.name}`:\n''' + errors
                 raise ValueError(snake_case__	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	List[Any]   ,       snake_case__:	dict	)  ->		ReadmeValidatorOutput:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	[]
         _lowercase     =	[]
         if structure["allow_empty"] is False:
             # If content is expected
             if self.is_empty_text and self.content == {}:
                 # If no content is found, mention it in the error_list
                 error_list.append(f'''Expected some content in section `{self.name}` but it is empty.'''	)
  
         if structure["allow_empty_text"] is False:
             # If some text is expected
             if self.is_empty_text:
                 # If no text is found, mention it in the error_list
                 error_list.append(
                     f'''Expected some text in section `{self.name}` but it is empty (text in subsections are ignored).'''	)
          # Subsections Validation
         if structure["subsections"] is not None:
             # If subsections are expected
             if self.content == {}:
                 # If no subsections are present
                 _lowercase     =	[subsection['name'] for subsection in structure['subsections']]
                 # Mention the expected values in the error_list
                 error_list.append(
                     f'''Section `{self.name}` expected the following subsections: {", ".join(["`"+x+"`" for x in values]	)}. Found \'None\'.'''	)
             else:
                 # If some subsections are present
                 _lowercase     =	[subsection['name'] for subsection in structure['subsections']]
                 _lowercase     =	False
                 for idx, name in enumerate(snake_case__	):
                     if name not in self.content:
                         # If the expected subsection is not present
                         error_list.append(f'''Section `{self.name}` is missing subsection: `{name}`.'''	)
                         _lowercase     =	True
                     else:
                         # If the subsection is present, validate subsection, return the result
                         # and concat the errors from subsection to section error_list
  
                         # Skip sublevel validation if current level is `###`
                         if self.level == "###":
                             continue
                         else:
                             _lowercase ,    _lowercase ,    _lowercase     =	self.content[name].validate(
                                 structure['subsections'][idx]	)
                         error_list += subsec_error_list
                         warning_list += subsec_warning_list
  
                 if has_missing_subsections:  # we only allow to have extra subsections if all the other ones are here
                     for name in self.content:
                         if name not in structure_names:
                             # If an extra subsection is present
                             warning_list.append(
                                 f'''`{self.name}` has an extra subsection: `{name}`. Skipping further validation checks for this subsection as expected structure is unknown.'''	)
         if error_list:
             # If there are errors, do not return the dictionary as it is invalid
             return {}, error_list, warning_list
         else:
             return self.to_dict(), error_list, warning_list
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		dict:
  
  
         """simple docstring"""
  
  
  
         return {
             "name": self.name,
             "text": self.text,
             "is_empty_text": self.is_empty_text,
             "subsections": [value.to_dict() for value in self.content.values()],
         }
  
  
  
  
  
  
  class 					snake_case_							(       lowercase_      ):  # Level 0
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
     def __init__(    self:	Tuple   ,       snake_case__:	str   ,       snake_case__:	List[str]   ,       snake_case__:	dict = None   ,       snake_case__:	bool = False	)  ->		Optional[Any]:
  
  
         """simple docstring"""
  
  
  
         super().__init__(name=snake_case__   ,       level=''	)  # Not using lines here as we need to use a child class parse
         _lowercase     =	structure
         _lowercase     =	-2
         _lowercase     =	0
         _lowercase     =	lines
         if self.lines is not None:
             self.parse(suppress_parsing_errors=snake_case__	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		Union[str, Any]:
  
  
         """simple docstring"""
  
  
  
         if self.structure is None:
             _lowercase ,    _lowercase ,    _lowercase     =	self._validate(snake_case__	)
         else:
             _lowercase ,    _lowercase ,    _lowercase     =	self._validate(self.structure	)
         if error_list != [] or warning_list != []:
             _lowercase     =	'\n'.join(['-\t' + x for x in error_list + warning_list]	)
             _lowercase     =	f'''The following issues were found for the README at `{self.name}`:\n''' + errors
             raise ValueError(snake_case__	)
  
     @classmethod
     def 			SCREAMING_SNAKE_CASE__				(    cls:	int   ,       snake_case__:	Path   ,       snake_case__:	dict = None   ,       snake_case__:	bool = False	)  ->		Any:
  
  
         """simple docstring"""
  
  
  
         with open(snake_case__   ,       encoding='utf-8'	) as f:
             _lowercase     =	f.readlines()
         return cls(snake_case__   ,       snake_case__   ,       snake_case__   ,       suppress_parsing_errors=snake_case__	)
  
     @classmethod
     def 			SCREAMING_SNAKE_CASE__				(    cls:	Union[str, Any]   ,       snake_case__:	str   ,       snake_case__:	dict = None   ,       snake_case__:	str = "root"   ,       snake_case__:	bool = False	)  ->		Union[str, Any]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	string.split('\n'	)
         return cls(snake_case__   ,       snake_case__   ,       snake_case__   ,       suppress_parsing_errors=snake_case__	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	str   ,       snake_case__:	bool = False	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	0
  
         for line in self.lines:
             self.yaml_tags_line_count += 1
             if line.strip(' \n'	) == "---":
                 self.tag_count += 1
                 if self.tag_count == 2:
                     break
             line_count += 1
         if self.tag_count == 2:
             _lowercase     =	self.lines[line_count + 1 :]  # Get the last + 1 th item.
         else:
             _lowercase     =	self.lines[self.tag_count :]
         super().parse(suppress_parsing_errors=snake_case__	)
  
     def __str__(    self:	Union[str, Any]	)  ->		Optional[Any]:
  
  
         """simple docstring"""
  
  
  
         return str(self.to_dict()	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	str   ,       snake_case__:	Tuple	)  ->		Union[str, Any]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	[]
         _lowercase     =	[]
         if self.yaml_tags_line_count == 0:
             warning_list.append('Empty YAML markers are present in the README.'	)
         elif self.tag_count == 0:
             warning_list.append('No YAML markers are present in the README.'	)
         elif self.tag_count == 1:
             warning_list.append('Only the start of YAML tags present in the README.'	)
         # Check how many first level sections are present.
         _lowercase     =	len(self.content.keys()	)
         if num_first_level_keys > 1:
             # If more than one, add to the error list, continue
             error_list.append(
                 f'''The README has several first-level headings: {", ".join(["`"+x+"`" for x in list(self.content.keys()	)]	)}. Only one heading is expected. Skipping further validation for this README.'''	)
         elif num_first_level_keys < 1:
             # If less than one, append error.
             error_list.append(
                 'The README has no first-level headings. One heading is expected. Skipping further validation for this README.'	)
  
         else:
             # If one exactly
             _lowercase     =	list(self.content.keys()	)[0]  # Get the key
             if start_key.startswith('Dataset Card for'	):  # Check correct start
                 # If the starting is correct, validate all the sections
                 _lowercase ,    _lowercase ,    _lowercase     =	self.content[start_key].validate(
                     readme_structure['subsections'][0]	)
                 error_list += sec_error_list
                 warning_list += sec_warning_list
             else:
                 # If not found, append error
                 error_list.append(
                     'No first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README.'	)
         if error_list:
             # If there are errors, do not return the dictionary as it is invalid
             return {}, error_list, warning_list
         else:
             return self.to_dict(), error_list, warning_list
  
  
  if __name__ == "__main__":
     from argparse import ArgumentParser
  
     lowerCamelCase										=  ArgumentParser(usage='''Validate the content (excluding YAML tags) of a README.md file.''')
     ap.add_argument('''readme_filepath''')
     lowerCamelCase										=  ap.parse_args()
     lowerCamelCase										=  Path(args.readme_filepath)
     lowerCamelCase										=  ReadMe.from_readme(readme_filepath)
  
  
  
  
style_context: 
  
  
  
  
  
  
  from typing import List, Union
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCamelCase										=  logging.get_logger(__name__)
  
  lowerCamelCase										=  {
      '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/config.json''',
      # See all LED models at https://huggingface.co/models?filter=led
  }
  
  class 					snake_case_							(       lowercase_      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
     __lowerCAmelCase      =						"""led"""
     __lowerCAmelCase      =						{
         """num_attention_heads""": """encoder_attention_heads""",
         """hidden_size""": """d_model""",
         """attention_probs_dropout_prob""": """attention_dropout""",
         """initializer_range""": """init_std""",
     }
  
     def __init__(    self:	int   ,       snake_case__:	str=50_265   ,       snake_case__:	Dict=16_384   ,       snake_case__:	str=1_024   ,       snake_case__:	Tuple=12   ,       snake_case__:	int=4_096   ,       snake_case__:	Union[str, Any]=16   ,       snake_case__:	int=12   ,       snake_case__:	Union[str, Any]=4_096   ,       snake_case__:	Optional[Any]=16   ,       snake_case__:	str=0.0   ,       snake_case__:	Optional[Any]=0.0   ,       snake_case__:	List[Any]=True   ,       snake_case__:	List[Any]=True   ,       snake_case__:	List[Any]="gelu"   ,       snake_case__:	Optional[int]=1_024   ,       snake_case__:	List[Any]=0.1   ,       snake_case__:	int=0.0   ,       snake_case__:	List[str]=0.0   ,       snake_case__:	List[str]=0.02   ,       snake_case__:	Dict=2   ,       snake_case__:	int=0.0   ,       snake_case__:	Optional[int]=1   ,       snake_case__:	Tuple=0   ,       snake_case__:	Union[str, Any]=2   ,       snake_case__:	Union[List[int], int] = 512   ,       **snake_case__:	int   ,       )  ->		List[Any]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	vocab_size
         _lowercase     =	max_encoder_position_embeddings
         _lowercase     =	max_decoder_position_embeddings
         _lowercase     =	d_model
         _lowercase     =	encoder_ffn_dim
         _lowercase     =	encoder_layers
         _lowercase     =	encoder_attention_heads
         _lowercase     =	decoder_ffn_dim
         _lowercase     =	decoder_layers
         _lowercase     =	decoder_attention_heads
         _lowercase     =	dropout
         _lowercase     =	attention_dropout
         _lowercase     =	activation_dropout
         _lowercase     =	activation_function
         _lowercase     =	init_std
         _lowercase     =	encoder_layerdrop
         _lowercase     =	decoder_layerdrop
         _lowercase     =	classifier_dropout
         _lowercase     =	use_cache
         _lowercase     =	encoder_layers
         _lowercase     =	attention_window
  
         super().__init__(
             pad_token_id=snake_case__   ,       bos_token_id=snake_case__   ,       eos_token_id=snake_case__   ,       is_encoder_decoder=snake_case__   ,       decoder_start_token_id=snake_case__   ,       **snake_case__   ,       )
  