



"""simple docstring"""




from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCamelCase:				Optional[Any]    							=  logging.get_logger(__name__)


class   a__		(						SCREAMING_SNAKE_CASE__     ):
   _lowerCamelCase												=				['''input_ids''', '''attention_mask''']


   def __init__(							self      :							Optional[int],     lowerCAmelCase      :							int="[PAD]",     lowerCAmelCase      :							Any="[BOS]",     lowerCAmelCase      :							int="[EOS]",     lowerCAmelCase      :							Tuple="[MASK]",     lowerCAmelCase      :							int="[CLS]",     lowerCAmelCase      :							int="[SEP]",     lowerCAmelCase      :							Optional[int]=2048,     **lowerCAmelCase      :							Optional[Any],     )    ->       None:
         lowercase  :      Tuple					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else pad_token
         lowercase  :      Optional[int]					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else bos_token
         lowercase  :      List[str]					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else eos_token
         lowercase  :      Dict					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else mask_token
         lowercase  :      Optional[int]					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else cls_token
         lowercase  :      Dict					=   AddedToken(a_,     lstrip=a_,     rstrip=a_			) if isinstance(a_,     a_			) else sep_token

         super().__init__(
             pad_token=a_,     bos_token=a_,     eos_token=a_,     mask_token=a_,     cls_token=a_,     sep_token=a_,     model_max_length=a_,     **a_,     )

         lowercase  :      Union[str, Any]					=   2**8  # utf is 8 bits

         # define special tokens dict
         lowercase  :      str					=   {
             self.pad_token: 0,
             self.bos_token: 1,
             self.eos_token: 2,
             self.mask_token: 3,
             self.cls_token: 4,
             self.sep_token: 5,
         }
         lowercase  :      str					=   len(self.special_tokens_encoder			)
         lowercase  :      List[Any]					=   {v: k for k, v in self.special_tokens_encoder.items()}


   def        lowercase				(							self      :							Dict			)    ->       Dict[str, int]:
         lowercase  :      Optional[int]					=   self.special_tokens_encoder.copy()
         vocab.update(self.added_tokens_encoder			)
         for i in range(self._utf_vocab_size			):
               lowercase  :      List[str]					=   chr(a_			)
               lowercase  :      Optional[Any]					=   i + len(self.special_tokens_encoder			)
         return vocab


   @property
   def        lowercase				(							self      :							Optional[int]			)    ->       Union[str, Any]:
         return self._utf_vocab_size + self._num_special_tokens


   def        lowercase				(							self      :							str,     lowerCAmelCase      :							Optional[Any],     lowerCAmelCase      :							Union[str, Any] = None,     lowerCAmelCase      :							str = False			)    ->       List[int]:
         if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=a_,     token_ids_a=a_,     already_has_special_tokens=a_			)

         # normal case: some special tokens
         if token_ids_a is None:
               return [1] + [0] * len(a_			) + [1]
         return [1] + ([0] * len(a_			)) + [1] + ([0] * len(a_			)) + [1]


   def        lowercase				(							self      :							int,     lowerCAmelCase      :							List[Any],     lowerCAmelCase      :							Tuple = None			)    ->       List[int]:
         if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         else:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]


   def        lowercase				(							self      :							Optional[int],     lowerCAmelCase      :							Tuple			)    ->       List[str]:
         lowercase  :      str					=   [chr(a_			) for i in text.encode('utf-8'			)]
         return tokens


   def        lowercase				(							self      :							Union[str, Any],     lowerCAmelCase      :							List[str]			)    ->       Union[str, Any]:
         if token in self.special_tokens_encoder:
               lowercase  :      Union[str, Any]					=   self.special_tokens_encoder[token]
         elif token in self.added_tokens_encoder:
               lowercase  :      List[str]					=   self.added_tokens_encoder[token]
         elif len(a_			) != 1:
               lowercase  :      List[Any]					=   self.unk_token_id
         else:
               lowercase  :      List[str]					=   ord(a_			) + self._num_special_tokens
         return token_id


   def        lowercase				(							self      :							str,     lowerCAmelCase      :							Tuple			)    ->       Union[str, Any]:
         if index in self.special_tokens_decoder:
               lowercase  :      int					=   self.special_tokens_decoder[index]
         elif index in self.added_tokens_decoder:
               lowercase  :      List[Any]					=   self.added_tokens_decoder[index]
         else:
               lowercase  :      List[str]					=   chr(index - self._num_special_tokens			)
         return token


   def        lowercase				(							self      :							Union[str, Any],     lowerCAmelCase      :							Tuple			)    ->       Union[str, Any]:
         lowercase  :      int					=   b''
         for token in tokens:
               if token in self.special_tokens_decoder:
                     lowercase  :      List[str]					=   self.special_tokens_decoder[token].encode('utf-8'			)
               elif token in self.added_tokens_decoder:
                     lowercase  :      Optional[Any]					=   self.special_tokens_decoder[token].encode('utf-8'			)
               elif token in self.special_tokens_encoder:
                     lowercase  :      Any					=   token.encode('utf-8'			)
               elif token in self.added_tokens_encoder:
                     lowercase  :      List[Any]					=   token.encode('utf-8'			)
               else:
                     lowercase  :      List[str]					=   bytes([ord(a_			)]			)
               bstring += tok_string
         lowercase  :      List[str]					=   bstring.decode('utf-8',     errors='replace'			)
         return string






   def        lowercase				(							self      :							Tuple,     lowerCAmelCase      :							List[str],     lowerCAmelCase      :							Union[str, Any] = None			)    ->       Tuple[str]:
         return ()





"""simple docstring"""




import re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata


def   lowercase__     (			_UpperCAmelCase				)     ->			str:






      '''simple docstring'''


      lowercase  :      List[str]					=   min(re.search('^ +'	,      _UpperCAmelCase				).end() if t.startswith(' '				) else 0 for t in string.splitlines()				)
      return "\n".join([line[indent_level:] for line in string.splitlines() if indent_level < len(_UpperCAmelCase				)]				)


_UpperCamelCase:				Any    							=  '\\n---\nlanguage:\n- zh\n- en\ntask_ids:\n- sentiment-classification\n---\n# Begin of markdown\n\nSome cool dataset card\n'

_UpperCamelCase:				Dict    							=  '\\n---\n---\n# Begin of markdown\n\nSome cool dataset card\n'


_UpperCamelCase:				Dict    							=  '\\n# Begin of markdown\n\nSome cool dataset card\n'





class   a__		(						unittest.TestCase     ):


   def        lowercase				(							self      :							int			)    ->       Dict:
         with tempfile.TemporaryDirectory() as tmp_dir:
               lowercase  :      Tuple					=   Path(lowerCAmelCase			) / 'README.md'
               with open(lowerCAmelCase,     'w+'			) as readme_file:
                     readme_file.write(lowerCAmelCase			)
               lowercase  :      List[str]					=   DatasetMetadata.from_readme(lowerCAmelCase			)
               self.assertDictEqual(lowerCAmelCase,     {'language': ['zh', 'en'], 'task_ids': ['sentiment-classification']}			)

               with open(lowerCAmelCase,     'w+'			) as readme_file:
                     readme_file.write(lowerCAmelCase			)
               lowercase  :      str					=   DatasetMetadata.from_readme(lowerCAmelCase			)
               self.assertDictEqual(lowerCAmelCase,     {}			)

               with open(lowerCAmelCase,     'w+'			) as readme_file:
                     readme_file.write(lowerCAmelCase			)
               lowercase  :      Optional[Any]					=   DatasetMetadata.from_readme(lowerCAmelCase			)
               self.assertEqual(lowerCAmelCase,     {}			)






   def        lowercase				(							self      :							Optional[Any]			)    ->       List[Any]:
         lowercase  :      Union[str, Any]					=   _dedent(
             '\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            '			)
         assert DatasetMetadata.from_yaml_string(lowerCAmelCase			)

         lowercase  :      Any					=   _dedent(
             '\\n            annotations_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            task_ids:\n            - open-domain-qa\n            '			)
         with self.assertRaises(lowerCAmelCase			):
               DatasetMetadata.from_yaml_string(lowerCAmelCase			)

         lowercase  :      int					=   _dedent(
             '\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - text-classification\n            task_ids:\n            - multi-class-classification\n            paperswithcode_id:\n            - squad\n            configs:\n            - en\n            train-eval-index:\n            - config: en\n              task: text-classification\n              task_id: multi_class_classification\n              splits:\n                train_split: train\n                eval_split: test\n              col_mapping:\n                text: text\n                label: target\n              metrics:\n                - type: accuracy\n                  name: Accuracy\n            extra_gated_prompt: |\n              By clicking on “Access repository” below, you also agree to ImageNet Terms of Access:\n              [RESEARCHER_FULLNAME] (the "Researcher") has requested permission to use the ImageNet database (the "Database") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n              1. Researcher shall use the Database only for non-commercial research and educational purposes.\n            extra_gated_fields:\n              Company: text\n              Country: text\n              I agree to use this model for non-commerical use ONLY: checkbox\n            '			)
         assert DatasetMetadata.from_yaml_string(lowerCAmelCase			)
