"""simple docstring"""





from typing import List, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCamelCase       :						Any     =   logging.get_logger(__name__)

_UpperCamelCase       :						Optional[Any]     =   {
    "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 					UpperCAmelCase_     (   _a):
      lowerCamelCase__		:   Optional[Any]			  =  "led"
      lowerCamelCase__		:   int			  =  {
          "num_attention_heads": "encoder_attention_heads",
          "hidden_size": "d_model",
          "attention_probs_dropout_prob": "attention_dropout",
          "initializer_range": "init_std",
      }


      def __init__(       self		,      a=5_0_2_6_5		,      a=1_6_3_8_4		,      a=1_0_2_4		,      a=1_2		,      a=4_0_9_6		,      a=1_6		,      a=1_2		,      a=4_0_9_6		,      a=1_6		,      a=0.0		,      a=0.0		,      a=True		,      a=True		,      a="gelu"		,      a=1_0_2_4		,      a=0.1		,      a=0.0		,      a=0.0		,      a=0.02		,      a=2		,      a=0.0		,      a=1		,      a=0		,      a=2		,      a = 5_1_2		,      **a		,      )	-> Any:
             lowercase__      :		Optional[int]          =     vocab_size
             lowercase__      :		Tuple          =     max_encoder_position_embeddings
             lowercase__      :		List[Any]          =     max_decoder_position_embeddings
             lowercase__      :		int          =     d_model
             lowercase__      :		Tuple          =     encoder_ffn_dim
             lowercase__      :		Optional[int]          =     encoder_layers
             lowercase__      :		Tuple          =     encoder_attention_heads
             lowercase__      :		Any          =     decoder_ffn_dim
             lowercase__      :		Any          =     decoder_layers
             lowercase__      :		Tuple          =     decoder_attention_heads
             lowercase__      :		Tuple          =     dropout
             lowercase__      :		List[Any]          =     attention_dropout
             lowercase__      :		str          =     activation_dropout
             lowercase__      :		Union[str, Any]          =     activation_function
             lowercase__      :		Union[str, Any]          =     init_std
             lowercase__      :		Tuple          =     encoder_layerdrop
             lowercase__      :		Any          =     decoder_layerdrop
             lowercase__      :		List[str]          =     classifier_dropout
             lowercase__      :		str          =     use_cache
             lowercase__      :		Optional[int]          =     encoder_layers
             lowercase__      :		Any          =     attention_window

             super().__init__(
                 pad_token_id=a		,      bos_token_id=a		,      eos_token_id=a		,      is_encoder_decoder=a		,      decoder_start_token_id=a		,      **a		,      )


"""simple docstring"""





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


_UpperCamelCase       :						Optional[int]     =   "https://github.com/huggingface/datasets/tree/main/src/datasets/utils"
_UpperCamelCase       :						Union[str, Any]     =   f'''{BASE_REF_URL}/{__file__}'''
_UpperCamelCase       :						Any     =   logging.getLogger(__name__)





def     a_					(				_lowerCAmelCase  :			str					):





       '''simple docstring'''

       lowercase__      :		Optional[Any]          =     pkg_resources.read_text(_lowerCAmelCase       ,			_lowerCAmelCase					)
       return yaml.safe_load(_lowerCAmelCase					), f"""{BASE_REF_URL}/resources/{resource}"""


_UpperCamelCase   ,				_UpperCamelCase       :						int     =   load_yaml_resource("readme_structure.yaml")

_UpperCamelCase       :						Optional[Any]     =   [
    "[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
_UpperCamelCase       :						List[Any]     =   Tuple[dict, List[str], List[str]]


class 					UpperCAmelCase_     :


      def __init__(       self		,      a		,      a		,      a = None		,      a = False							)	-> str:
             lowercase__      :		List[str]          =     name
             lowercase__      :		int          =     level
             lowercase__      :		Dict          =     lines
             lowercase__      :		Optional[int]          =     ''
             lowercase__      :		List[str]          =     True
             lowercase__      :		Union[str, Any]          =     {}
             lowercase__      :		Any          =     []
             lowercase__      :		Optional[int]          =     []
             if self.lines is not None:
                    self.parse(suppress_parsing_errors=a							)


      def 		_UpperCAmelCase	(       self		,      a = False							)	-> Any:
             lowercase__      :		List[str]          =     ''
             lowercase__      :		int          =     []
             lowercase__      :		Any          =     False
             for line in self.lines:
                    if line.strip(' \n'							) == "":
                           continue
                    elif line.strip(' \n'							)[:3] == "```":
                           lowercase__      :		Optional[Any]          =     not code_start
                    elif line.split()[0] == self.level + "#" and not code_start:
                           if current_sub_level != "":
                                  lowercase__      :		Tuple          =     Section(a		,      self.level + '#'		,      a							)
                                  lowercase__      :		str          =     []
                           else:
                                  if current_lines != []:
                                         self.text += "".join(a							).strip()
                                         if self.text != "" and self.text not in FILLER_TEXT:
                                                lowercase__      :		List[Any]          =     False
                                         lowercase__      :		List[str]          =     []

                           lowercase__      :		Dict          =     ' '.join(line.split()[1:]							).strip(' \n'							)
                    else:
                           current_lines.append(a							)
             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__      :		Tuple          =     Section(a		,      self.level + '#'		,      a							)
                    else:
                           if current_lines != []:
                                  self.text += "".join(a							).strip()
                                  if self.text != "" and self.text not in FILLER_TEXT:
                                         lowercase__      :		Dict          =     False

             if self.level == "" and not suppress_parsing_errors:
                    if self.parsing_error_list != [] or self.parsing_warning_list != []:
                           lowercase__      :		Optional[Any]          =     '\n'.join('-\t' + x for x in self.parsing_error_list + self.parsing_warning_list							)
                           lowercase__      :		int          =     f"""The following issues were found while parsing the README at `{self.name}`:\n""" + errors
                           raise ValueError(a							)


      def 		_UpperCAmelCase	(       self		,      a							)	-> ReadmeValidatorOutput:
             lowercase__      :		Tuple          =     []
             lowercase__      :		int          =     []
             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__      :		str          =     [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__      :		Union[str, Any]          =     [subsection['name'] for subsection in structure['subsections']]
                           lowercase__      :		Any          =     False
                           for idx, name in enumerate(a							):
                                  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__      :		str          =     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__      :		Optional[Any]          =     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 		_UpperCAmelCase	(       self							)	-> dict:
             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 					UpperCAmelCase_     (   _a):  # Level 0


      def __init__(       self		,      a		,      a		,      a = None		,      a = False							)	-> Any:
             super().__init__(name=a		,      level=''							)  # Not using lines here as we need to use a child class parse
             lowercase__      :		List[Any]          =     structure
             lowercase__      :		Dict          =     -2
             lowercase__      :		Union[str, Any]          =     0
             lowercase__      :		Dict          =     lines
             if self.lines is not None:
                    self.parse(suppress_parsing_errors=a							)


      def 		_UpperCAmelCase	(       self							)	-> Tuple:
             if self.structure is None:
                    lowercase__   ,				lowercase__   ,				lowercase__      :		Any          =     self._validate(a							)
             else:
                    lowercase__   ,				lowercase__   ,				lowercase__      :		Dict          =     self._validate(self.structure							)
             if error_list != [] or warning_list != []:
                    lowercase__      :		Optional[Any]          =     '\n'.join(['-\t' + x for x in error_list + warning_list]							)
                    lowercase__      :		Union[str, Any]          =     f"""The following issues were found for the README at `{self.name}`:\n""" + errors
                    raise ValueError(a							)


      @classmethod
      def 		_UpperCAmelCase	(       cls		,      a		,      a = None		,      a = False							)	-> Tuple:
             with open(a		,      encoding='utf-8'							) as f:
                    lowercase__      :		List[Any]          =     f.readlines()
             return cls(a		,      a		,      a		,      suppress_parsing_errors=a							)


      @classmethod
      def 		_UpperCAmelCase	(       cls		,      a		,      a = None		,      a = "root"		,      a = False							)	-> int:
             lowercase__      :		Optional[Any]          =     string.split('\n'							)
             return cls(a		,      a		,      a		,      suppress_parsing_errors=a							)


      def 		_UpperCAmelCase	(       self		,      a = False							)	-> List[Any]:
             # Skip Tags
             lowercase__      :		Tuple          =     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__      :		Optional[int]          =     self.lines[line_count + 1 :]  # Get the last + 1 th item.
             else:
                    lowercase__      :		List[str]          =     self.lines[self.tag_count :]
             super().parse(suppress_parsing_errors=a							)


      def __str__(       self							)	-> Any:
             return str(self.to_dict()							)


      def 		_UpperCAmelCase	(       self		,      a							)	-> str:
             lowercase__      :		Any          =     []
             lowercase__      :		Optional[int]          =     []
             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__      :		int          =     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__      :		Dict          =     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__      :		Any          =     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

       _UpperCamelCase       :						Tuple     =   ArgumentParser(usage="Validate the content (excluding YAML tags) of a README.md file.")
       ap.add_argument("readme_filepath")
       _UpperCamelCase       :						str     =   ap.parse_args()
       _UpperCamelCase       :						Optional[int]     =   Path(args.readme_filepath)
       _UpperCamelCase       :						Dict     =   ReadMe.from_readme(readme_filepath)

