from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset





class 					A							(    UpperCAmelCase_					):


   def       lowercase_				(self					:						int		)						->    List[str]:
         """simple docstring"""



         return [
             {"col_1": 3, "col_2": "a"},
             {"col_1": 2, "col_2": "b"},
             {"col_1": 1, "col_2": "c"},
             {"col_1": 0, "col_2": "d"},
         ]


   def       lowercase_				(self					:						Tuple		)						->    Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  {"col_1": [3, 2, 1, 0], "col_2": ["a", "b", "c", "d"]}
         return Dataset.from_dict(__UpperCAmelCase		)


   def       lowercase_				(self					:						List[str]		)						->    Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  self._create_example_records()
         UpperCAmelCase__								=  Dataset.from_list(__UpperCAmelCase		)
         self.assertListEqual(dset.column_names	,  ["col_1", "col_2"]		)
         for i, r in enumerate(__UpperCAmelCase		):
               self.assertDictEqual(__UpperCAmelCase	,  example_records[i]		)


   def       lowercase_				(self					:						Optional[int]		)						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  self._create_example_records()
         UpperCAmelCase__								=  Dataset.from_list(__UpperCAmelCase		)
         UpperCAmelCase__								=  Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}		)
         self.assertEqual(dset.info	,  dset_from_dict.info		)


   def       lowercase_				(self					:						List[Any]		)						->    Optional[int]:  # checks what happens with missing columns
         """simple docstring"""



         UpperCAmelCase__								=  [{"col_1": 1}, {"col_2": "x"}]
         UpperCAmelCase__								=  Dataset.from_list(__UpperCAmelCase		)
         self.assertDictEqual(dset[0]	,  {"col_1": 1}		)
         self.assertDictEqual(dset[1]	,  {"col_1": None}		)  # NB: first record is used for columns


   def       lowercase_				(self					:						List[str]		)						->    Union[str, Any]:  # checks if the type can be inferred from the second record
         """simple docstring"""



         UpperCAmelCase__								=  [{"col_1": []}, {"col_1": [1, 2]}]
         UpperCAmelCase__								=  Dataset.from_list(__UpperCAmelCase		)
         self.assertEqual(dset.info.features["col_1"]	,  Sequence(Value("int64"		)		)		)





   def       lowercase_				(self					:						Union[str, Any]		)						->    List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  Dataset.from_list([]		)
         self.assertEqual(len(__UpperCAmelCase		)	,  0		)
         self.assertListEqual(dset.column_names	,  []		)




import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


UpperCamelCase__    							= logging.get_logger(__name__)


UpperCamelCase__    							= {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__    							= {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json',
    },
}

UpperCamelCase__    							= {
    'facebook/bart-base': 1_0_2_4,
    'facebook/bart-large': 1_0_2_4,
    'facebook/bart-large-mnli': 1_0_2_4,
    'facebook/bart-large-cnn': 1_0_2_4,
    'facebook/bart-large-xsum': 1_0_2_4,
    'yjernite/bart_eli5': 1_0_2_4,
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			List[str]              =      VOCAB_FILES_NAMES
   __UpperCAmelCase			:			int              =      PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:			int              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:			str              =      ['input_ids', 'attention_mask']
   __UpperCAmelCase			:			str              =      BartTokenizer


   def __init__(self					:						Tuple	,  __UpperCAmelCase					:						int=None	,  __UpperCAmelCase					:						Optional[int]=None	,  __UpperCAmelCase					:						int=None	,  __UpperCAmelCase					:						str="replace"	,  __UpperCAmelCase					:						List[str]="<s>"	,  __UpperCAmelCase					:						Tuple="</s>"	,  __UpperCAmelCase					:						List[Any]="</s>"	,  __UpperCAmelCase					:						Tuple="<s>"	,  __UpperCAmelCase					:						List[str]="<unk>"	,  __UpperCAmelCase					:						Optional[int]="<pad>"	,  __UpperCAmelCase					:						List[Any]="<mask>"	,  __UpperCAmelCase					:						Any=False	,  __UpperCAmelCase					:						str=True	,  **__UpperCAmelCase					:						Tuple	,  )						->    Any:
         """simple docstring"""



         super().__init__(
             __UpperCAmelCase	,  __UpperCAmelCase	,  tokenizer_file=__UpperCAmelCase	,  errors=__UpperCAmelCase	,  bos_token=__UpperCAmelCase	,  eos_token=__UpperCAmelCase	,  sep_token=__UpperCAmelCase	,  cls_token=__UpperCAmelCase	,  unk_token=__UpperCAmelCase	,  pad_token=__UpperCAmelCase	,  mask_token=__UpperCAmelCase	,  add_prefix_space=__UpperCAmelCase	,  trim_offsets=__UpperCAmelCase	,  **__UpperCAmelCase	,  )

         UpperCAmelCase__								=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
         if pre_tok_state.get("add_prefix_space"	,  __UpperCAmelCase		) != add_prefix_space:
               UpperCAmelCase__								=  getattr(__UpperCAmelCase	,  pre_tok_state.pop("type"		)		)
               UpperCAmelCase__								=  add_prefix_space
               UpperCAmelCase__								=  pre_tok_class(**__UpperCAmelCase		)

         UpperCAmelCase__								=  add_prefix_space

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         UpperCAmelCase__								=  "post_processor"
         UpperCAmelCase__								=  getattr(self.backend_tokenizer	,  __UpperCAmelCase	,  __UpperCAmelCase		)
         if tokenizer_component_instance:
               UpperCAmelCase__								=  json.loads(tokenizer_component_instance.__getstate__()		)

               # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
               if "sep" in state:
                     UpperCAmelCase__								=  tuple(state["sep"]		)
               if "cls" in state:
                     UpperCAmelCase__								=  tuple(state["cls"]		)

               UpperCAmelCase__								=  False

               if state.get("add_prefix_space"	,  __UpperCAmelCase		) != add_prefix_space:
                     UpperCAmelCase__								=  add_prefix_space
                     UpperCAmelCase__								=  True

               if state.get("trim_offsets"	,  __UpperCAmelCase		) != trim_offsets:
                     UpperCAmelCase__								=  trim_offsets
                     UpperCAmelCase__								=  True

               if changes_to_apply:
                     UpperCAmelCase__								=  getattr(__UpperCAmelCase	,  state.pop("type"		)		)
                     UpperCAmelCase__								=  component_class(**__UpperCAmelCase		)
                     setattr(self.backend_tokenizer	,  __UpperCAmelCase	,  __UpperCAmelCase		)


   @property
   def       lowercase_				(self					:						Tuple		)						->    str:
         """simple docstring"""



         if self._mask_token is None:
               if self.verbose:
                     logger.error("Using mask_token, but it is not set yet."		)
               return None
         return str(self._mask_token		)


   @mask_token.setter
   def       lowercase_				(self					:						Optional[int]	,  __UpperCAmelCase					:						Union[str, Any]		)						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else value
         UpperCAmelCase__								=  value


   def       lowercase_				(self					:						List[str]	,  *__UpperCAmelCase					:						str	,  **__UpperCAmelCase					:						List[str]		)						->    BatchEncoding:
         """simple docstring"""



         UpperCAmelCase__								=  kwargs.get("is_split_into_words"	,  __UpperCAmelCase		)

         if is_split_into_words and not self.add_prefix_space:
               raise ValueError(
                   f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                   "to use it with pretokenized inputs."		)

         return super()._batch_encode_plus(*__UpperCAmelCase	,  **__UpperCAmelCase		)


   def       lowercase_				(self					:						List[Any]	,  *__UpperCAmelCase					:						Optional[Any]	,  **__UpperCAmelCase					:						Optional[Any]		)						->    BatchEncoding:
         """simple docstring"""



         UpperCAmelCase__								=  kwargs.get("is_split_into_words"	,  __UpperCAmelCase		)

         if is_split_into_words and not self.add_prefix_space:
               raise ValueError(
                   f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                   "to use it with pretokenized inputs."		)

         return super()._encode_plus(*__UpperCAmelCase	,  **__UpperCAmelCase		)


   def       lowercase_				(self					:						Any	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						Optional[str] = None		)						->    Tuple[str]:
         """simple docstring"""



         UpperCAmelCase__								=  self._tokenizer.model.save(__UpperCAmelCase	,  name=__UpperCAmelCase		)
         return tuple(__UpperCAmelCase		)


   def       lowercase_				(self					:						Optional[Any]	,  __UpperCAmelCase					:						int	,  __UpperCAmelCase					:						Dict=None		)						->    Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
               return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





   def       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None		)						->    List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]

         if token_ids_a is None:
               return len(cls + token_ids_a + sep		) * [0]
         return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]



