


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


lowercase_           =	'https://github.com/huggingface/datasets/tree/main/src/datasets/utils'
lowercase_           =	F"""{BASE_REF_URL}/{__file__}"""
lowercase_           =	logging.getLogger(__name__)
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Dict							=						pkg_resources.read_text(SCREAMING_SNAKE_CASE__			,       SCREAMING_SNAKE_CASE__						)
 return yaml.safe_load(SCREAMING_SNAKE_CASE__						), f'{BASE_REF_URL}/resources/{resource}'


lowercase_    ,lowercase_           =	load_yaml_resource('readme_structure.yaml')

lowercase_           =	[
    '[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
lowercase_           =	Tuple[dict, List[str], List[str]]


class        A_					:




      '''simple docstring'''


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




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

         __lowerCamelCase		:							str							=						' '.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.'				)
         __lowerCamelCase		:							int							=						Section(a						,      self.level + '#'						,      a				)
        else:
         if current_lines != []:
          self.text += "".join(a				).strip()
          if self.text != "" and self.text not in FILLER_TEXT:
           __lowerCamelCase		:							str							=						False

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




      def      _snake_case	(				self:       Optional[Any]						,      a:       dict				):
       __lowerCamelCase		:							Optional[int]							=						[]
       __lowerCamelCase		:							List[str]							=						[]
       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
         __lowerCamelCase		:							Dict							=						[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
         __lowerCamelCase		:							List[str]							=						[subsection['name'] for subsection in structure['subsections']]
         __lowerCamelCase		:							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}`.'				)
           __lowerCamelCase		:							int							=						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:
            __lowerCamelCase					,     __lowerCamelCase					,     __lowerCamelCase		:							Tuple							=						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      _snake_case	(				self:       List[Any]				):
       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        A_					(       __UpperCamelCase    ):  # Level 0




      '''simple docstring'''


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




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




      @classmethod
      def      _snake_case	(				cls:       Optional[Any]						,      a:       Path						,      a:       dict = None						,      a:       bool = False				):
       with open(a						,      encoding='utf-8'				) as f:
        __lowerCamelCase		:							int							=						f.readlines()
       return cls(a						,      a						,      a						,      suppress_parsing_errors=a				)




      @classmethod
      def      _snake_case	(				cls:       Any						,      a:       str						,      a:       dict = None						,      a:       str = "root"						,      a:       bool = False				):
       __lowerCamelCase		:							str							=						string.split('\n'				)
       return cls(a						,      a						,      a						,      suppress_parsing_errors=a				)




      def      _snake_case	(				self:       Tuple						,      a:       bool = False				):
       # Skip Tags
       __lowerCamelCase		:							Union[str, Any]							=						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:
        __lowerCamelCase		:							Tuple							=						self.lines[line_count + 1 :]  # Get the last + 1 th item.
       else:
        __lowerCamelCase		:							Optional[int]							=						self.lines[self.tag_count :]
       super().parse(suppress_parsing_errors=a				)




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




      def      _snake_case	(				self:       Optional[Any]						,      a:       Union[str, Any]				):
       __lowerCamelCase		:							Dict							=						[]
       __lowerCamelCase		:							List[str]							=						[]
       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.
       __lowerCamelCase		:							Dict							=						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
        __lowerCamelCase		:							Optional[Any]							=						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
         __lowerCamelCase					,     __lowerCamelCase					,     __lowerCamelCase		:							int							=						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

       lowercase_           =	ArgumentParser(usage='Validate the content (excluding YAML tags) of a README.md file.')
       ap.add_argument('readme_filepath')
       lowercase_           =	ap.parse_args()
       lowercase_           =	Path(args.readme_filepath)
       lowercase_           =	ReadMe.from_readme(readme_filepath)





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       import torch

       from transformers import CamembertModel


@require_torch
@require_sentencepiece
@require_tokenizers
class        A_					(       unittest.TestCase    ):




      '''simple docstring'''


      @slow
      def      _snake_case	(				self:       Any				):
       __lowerCamelCase		:							Dict							=						CamembertModel.from_pretrained('camembert-base'				)
       model.to(a				)

       __lowerCamelCase		:							List[Any]							=						torch.tensor(
           [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]]						,      device=a						,      dtype=torch.long						,      )  # J'aime le camembert !
       with torch.no_grad():
        __lowerCamelCase		:							Tuple							=						model(a				)['last_hidden_state']
       __lowerCamelCase		:							Union[str, Any]							=						torch.Size((1, 10, 768)				)
       self.assertEqual(output.shape						,      a				)
       # compare the actual values for a slice.
       __lowerCamelCase		:							Tuple							=						torch.tensor(
           [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]						,      device=a						,      dtype=torch.float						,      )
       # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
       # camembert.eval()
       # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

       self.assertTrue(torch.allclose(output[:, :3, :3]						,      a						,      atol=1e-4				)				)

