
"""simple docstring"""

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			:       Dict									=				logging.get_logger(__name__)


UpperCamelCase			:       Tuple									=				{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase			:       Tuple									=				{
    "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			:       Optional[int]									=				{
    "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 __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):
					lowercase		     =		VOCAB_FILES_NAMES
					lowercase		     =		PRETRAINED_VOCAB_FILES_MAP
					lowercase		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase		     =		["input_ids", "attention_mask"]
					lowercase		     =		BartTokenizer





					def __init__(			self			,  __UpperCAmelCase=None			,  __UpperCAmelCase=None			,  __UpperCAmelCase=None			,  __UpperCAmelCase="replace"			,  __UpperCAmelCase="<s>"			,  __UpperCAmelCase="</s>"			,  __UpperCAmelCase="</s>"			,  __UpperCAmelCase="<s>"			,  __UpperCAmelCase="<unk>"			,  __UpperCAmelCase="<pad>"			,  __UpperCAmelCase="<mask>"			,  __UpperCAmelCase=False			,  __UpperCAmelCase=True			,  **__UpperCAmelCase			,  ):

						'''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 		UpperCAmelCase      (			self   ):

						'''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 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

						'''simple docstring'''




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





					def 		UpperCAmelCase      (			self			,  *__UpperCAmelCase			,  **__UpperCAmelCase   ):

						'''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 		UpperCAmelCase      (			self			,  *__UpperCAmelCase			,  **__UpperCAmelCase   ):

						'''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 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

						'''simple docstring'''




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





					def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase=None   ):

						'''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 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

						'''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]





"""simple docstring"""

from __future__ import annotations

import os
from typing import Any

import requests

UpperCamelCase			:       Union[str, Any]									=				"https://api.github.com"

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
UpperCamelCase			:       Union[str, Any]									=				BASE_URL + "/user"

# https://github.com/settings/tokens
UpperCamelCase			:       Optional[int]									=				os.environ.get("USER_TOKEN", "")






def 							A		(       snake_case   :str	)   ->			dict[Any, Any]:
 __UpperCamelCase       						= {
     'Authorization': f'token {auth_token}',
     'Accept': 'application/vnd.github.v3+json',
 }
 return requests.get(snake_case       ,      headers=snake_case	).json()


if __name__ == "__main__":  # pragma: no cover
      if USER_TOKEN:
            for key, value in fetch_github_info(USER_TOKEN).items():
                  print(f'''{key}: {value}''')
      else:
            raise ValueError("'USER_TOKEN' field cannot be empty.")



