import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


UpperCamelCase__    							= logging.get_logger(__name__)


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

# 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',
    },
}

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,
}




@lru_cache()
def        lowerCAmelCase_			(					)					->    List[Any]:







      '''simple docstring'''


      UpperCAmelCase__								=  (
          list(range(ord("!"							),  ord("~"							) + 1							)							) + list(range(ord("¡"							),  ord("¬"							) + 1							)							) + list(range(ord("®"							),  ord("ÿ"							) + 1							)							)
      )
      UpperCAmelCase__								=  bs[:]
      UpperCAmelCase__								=  0
      for b in range(2**8							):
            if b not in bs:
                  bs.append(__A							)
                  cs.append(2**8 + n							)
                  n += 1
      UpperCAmelCase__								=  [chr(__A							) for n in cs]
      return dict(zip(__A,  __A							)							)




def        lowerCAmelCase_			(					__A							)					->    Dict:







      '''simple docstring'''


      UpperCAmelCase__								=  set()
      UpperCAmelCase__								=  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            UpperCAmelCase__								=  char
      return pairs







class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Tuple              =      VOCAB_FILES_NAMES
   __UpperCAmelCase			:			Any              =      PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:			Optional[int]              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:			int              =      ['input_ids', 'attention_mask']


   def __init__(self					:						Optional[int]	,  __UpperCAmelCase					:						Tuple	,  __UpperCAmelCase					:						List[str]	,  __UpperCAmelCase					:						Tuple="replace"	,  __UpperCAmelCase					:						Tuple="<s>"	,  __UpperCAmelCase					:						List[Any]="</s>"	,  __UpperCAmelCase					:						int="</s>"	,  __UpperCAmelCase					:						Optional[int]="<s>"	,  __UpperCAmelCase					:						int="<unk>"	,  __UpperCAmelCase					:						int="<pad>"	,  __UpperCAmelCase					:						Tuple="<mask>"	,  __UpperCAmelCase					:						Optional[int]=False	,  **__UpperCAmelCase					:						Any	,  )						->    Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else bos_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else eos_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else sep_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else cls_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else unk_token
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else pad_token

         # Mask token behave like a normal word, i.e. include the space before it
         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else mask_token

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

         with open(__UpperCAmelCase	,  encoding="utf-8"		) as vocab_handle:
               UpperCAmelCase__								=  json.load(__UpperCAmelCase		)
         UpperCAmelCase__								=  {v: k for k, v in self.encoder.items()}
         UpperCAmelCase__								=  errors  # how to handle errors in decoding
         UpperCAmelCase__								=  bytes_to_unicode()
         UpperCAmelCase__								=  {v: k for k, v in self.byte_encoder.items()}
         with open(__UpperCAmelCase	,  encoding="utf-8"		) as merges_handle:
               UpperCAmelCase__								=  merges_handle.read().split("\n"		)[1:-1]
         UpperCAmelCase__								=  [tuple(merge.split()		) for merge in bpe_merges]
         UpperCAmelCase__								=  dict(zip(__UpperCAmelCase	,  range(len(__UpperCAmelCase		)		)		)		)
         UpperCAmelCase__								=  {}
         UpperCAmelCase__								=  add_prefix_space

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         UpperCAmelCase__								=  re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"		)


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



         return len(self.encoder		)


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



         return dict(self.encoder	,  **self.added_tokens_encoder		)


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



         if token in self.cache:
               return self.cache[token]
         UpperCAmelCase__								=  tuple(__UpperCAmelCase		)
         UpperCAmelCase__								=  get_pairs(__UpperCAmelCase		)

         if not pairs:
               return token

         while True:
               UpperCAmelCase__								=  min(__UpperCAmelCase	,  key=lambda __UpperCAmelCase		: self.bpe_ranks.get(__UpperCAmelCase	,  float("inf"		)		)		)
               if bigram not in self.bpe_ranks:
                     break
               UpperCAmelCase__		,				UpperCAmelCase__								=  bigram
               UpperCAmelCase__								=  []
               UpperCAmelCase__								=  0
               while i < len(__UpperCAmelCase		):
                     try:
                           UpperCAmelCase__								=  word.index(__UpperCAmelCase	,  __UpperCAmelCase		)
                     except ValueError:
                           new_word.extend(word[i:]		)
                           break
                     else:
                           new_word.extend(word[i:j]		)
                           UpperCAmelCase__								=  j

                     if word[i] == first and i < len(__UpperCAmelCase		) - 1 and word[i + 1] == second:
                           new_word.append(first + second		)
                           i += 2
                     else:
                           new_word.append(word[i]		)
                           i += 1
               UpperCAmelCase__								=  tuple(__UpperCAmelCase		)
               UpperCAmelCase__								=  new_word
               if len(__UpperCAmelCase		) == 1:
                     break
               else:
                     UpperCAmelCase__								=  get_pairs(__UpperCAmelCase		)
         UpperCAmelCase__								=  " ".join(__UpperCAmelCase		)
         UpperCAmelCase__								=  word
         return word


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



         UpperCAmelCase__								=  []
         for token in re.findall(self.pat	,  __UpperCAmelCase		):
               UpperCAmelCase__								=  "".join(
                   self.byte_encoder[b] for b in token.encode("utf-8"		)		)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
               bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__UpperCAmelCase		).split(" "		)		)
         return bpe_tokens


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



         return self.encoder.get(__UpperCAmelCase	,  self.encoder.get(self.unk_token		)		)


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



         return self.decoder.get(__UpperCAmelCase		)


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



         UpperCAmelCase__								=  "".join(__UpperCAmelCase		)
         UpperCAmelCase__								=  bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"	,  errors=self.errors		)
         return text


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



         if not os.path.isdir(__UpperCAmelCase		):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
               return
         UpperCAmelCase__								=  os.path.join(
             __UpperCAmelCase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
         UpperCAmelCase__								=  os.path.join(
             __UpperCAmelCase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

         with open(__UpperCAmelCase	,  "w"	,  encoding="utf-8"		) as f:
               f.write(json.dumps(self.encoder	,  indent=2	,  sort_keys=__UpperCAmelCase	,  ensure_ascii=__UpperCAmelCase		) + "\n"		)

         UpperCAmelCase__								=  0
         with open(__UpperCAmelCase	,  "w"	,  encoding="utf-8"		) as writer:
               writer.write("#version: 0.2\n"		)
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,  key=lambda __UpperCAmelCase		: kv[1]		):
                     if index != token_index:
                           logger.warning(
                               f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                               " Please check that the tokenizer is not corrupted!"		)
                           UpperCAmelCase__								=  token_index
                     writer.write(" ".join(__UpperCAmelCase		) + "\n"		)
                     index += 1

         return vocab_file, merge_file


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



         if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]
         UpperCAmelCase__								=  [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep


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



         if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=__UpperCAmelCase	,  token_ids_a=__UpperCAmelCase	,  already_has_special_tokens=__UpperCAmelCase		)

         if token_ids_a is None:
               return [1] + ([0] * len(__UpperCAmelCase		)) + [1]
         return [1] + ([0] * len(__UpperCAmelCase		)) + [1, 1] + ([0] * len(__UpperCAmelCase		)) + [1]


   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]





   def       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						Dict	,  __UpperCAmelCase					:						Optional[Any]=False	,  **__UpperCAmelCase					:						Union[str, Any]		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  kwargs.pop("add_prefix_space"	,  self.add_prefix_space		)
         if (is_split_into_words or add_prefix_space) and (len(__UpperCAmelCase		) > 0 and not text[0].isspace()):
               UpperCAmelCase__								=  " " + text
         return (text, kwargs)




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			List[Any]              =      'facebook/bart-large-mnli'
   __UpperCAmelCase			:			Optional[Any]              =      (
       'This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which '
       'should be the text to classify, and `labels`, which should be the list of labels to use for classification. '
       'It returns the most likely label in the list of provided `labels` for the input text.'
   )
   __UpperCAmelCase			:			Optional[int]              =      'text_classifier'
   __UpperCAmelCase			:			int              =      AutoTokenizer
   __UpperCAmelCase			:			Dict              =      AutoModelForSequenceClassification

   __UpperCAmelCase			:			int              =      ['text', ['text']]
   __UpperCAmelCase			:			Optional[int]              =      ['text']


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



         super().setup()
         UpperCAmelCase__								=  self.model.config
         UpperCAmelCase__								=  -1
         for idx, label in config.idalabel.items():
               if label.lower().startswith("entail"		):
                     UpperCAmelCase__								=  int(__UpperCAmelCase		)
         if self.entailment_id == -1:
               raise ValueError("Could not determine the entailment ID from the model config, please pass it at init."		)


   def       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						Dict	,  __UpperCAmelCase					:						int		)						->    Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  labels
         return self.pre_processor(
             [text] * len(__UpperCAmelCase		)	,  [f"""This example is {label}""" for label in labels]	,  return_tensors="pt"	,  padding="max_length"	,  )





   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						Tuple		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  outputs.logits
         UpperCAmelCase__								=  torch.argmax(logits[:, 2]		).item()
         return self._labels[label_id]



