


"""simple docstring"""






import json
import os
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

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


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

SCREAMING_SNAKE_CASE__				:  Tuple						= logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__				:  List[str]						= {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

SCREAMING_SNAKE_CASE__				:  List[Any]						= {
    """vocab_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"""
        ),
    },
}

SCREAMING_SNAKE_CASE__				:  Union[str, Any]						= {
    """microsoft/deberta-base""": 512,
    """microsoft/deberta-large""": 512,
    """microsoft/deberta-xlarge""": 512,
    """microsoft/deberta-base-mnli""": 512,
    """microsoft/deberta-large-mnli""": 512,
    """microsoft/deberta-xlarge-mnli""": 512,
}

SCREAMING_SNAKE_CASE__				:  Dict						= {
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}




def        A_					(					)     ->     List[str]:
   a   :	Union[str, Any]						=    (
       list(range(ord('!'				)       ,   ord('~'				) + 1				)				) + list(range(ord('¡'				)       ,   ord('¬'				) + 1				)				) + list(range(ord('®'				)       ,   ord('ÿ'				) + 1				)				)
   )
   a   :	int						=    bs[:]
   a   :	Optional[Any]						=    0
   for b in range(2**8				):
      if b not in bs:
         bs.append(UpperCAmelCase__				)
         cs.append(2**8 + n				)
         n += 1
   a   :	Dict						=    [chr(UpperCAmelCase__				) for n in cs]
   return dict(zip(UpperCAmelCase__       ,   UpperCAmelCase__				)				)




def        A_					(					UpperCAmelCase__				)     ->     Dict:
   a   :	str						=    set()
   a   :	List[str]						=    word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)				)
      a   :	Union[str, Any]						=    char
   return pairs


class 	A_       (     _snake_case   ):





  """simple docstring"""

  lowercase		:	Optional[int]   =						VOCAB_FILES_NAMES
  lowercase		:	List[Any]   =						PRETRAINED_VOCAB_FILES_MAP
  lowercase		:	Optional[int]   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase		:	Dict   =						["""input_ids""", """attention_mask""", """token_type_ids"""]
  def __init__(						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase="replace"  ,					__UpperCAmelCase="[CLS]"  ,					__UpperCAmelCase="[SEP]"  ,					__UpperCAmelCase="[SEP]"  ,					__UpperCAmelCase="[CLS]"  ,					__UpperCAmelCase="[UNK]"  ,					__UpperCAmelCase="[PAD]"  ,					__UpperCAmelCase="[MASK]"  ,					__UpperCAmelCase=False  ,					__UpperCAmelCase=False  ,					**__UpperCAmelCase  ,					)				->					int:
     a   :	Tuple						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else bos_token
     a   :	Optional[Any]						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else eos_token
     a   :	Dict						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else sep_token
     a   :	Optional[Any]						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else cls_token
     a   :	Dict						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else unk_token
     a   :	List[str]						=    AddedToken(snake_case_  ,					lstrip=snake_case_  ,					rstrip=snake_case_						) if isinstance(snake_case_  ,					snake_case_						) else pad_token

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

     super().__init__(
         errors=snake_case_  ,					bos_token=snake_case_  ,					eos_token=snake_case_  ,					unk_token=snake_case_  ,					sep_token=snake_case_  ,					cls_token=snake_case_  ,					pad_token=snake_case_  ,					mask_token=snake_case_  ,					add_prefix_space=snake_case_  ,					add_bos_token=snake_case_  ,					**snake_case_  ,					)
     a   :	List[Any]						=    add_bos_token

     with open(snake_case_  ,					encoding='utf-8'						) as vocab_handle:
        a   :	Dict						=    json.load(snake_case_						)
     a   :	Tuple						=    {v: k for k, v in self.encoder.items()}
     a   :	str						=    errors  # how to handle errors in decoding
     a   :	Optional[Any]						=    bytes_to_unicode()
     a   :	str						=    {v: k for k, v in self.byte_encoder.items()}
     with open(snake_case_  ,					encoding='utf-8'						) as merges_handle:
        a   :	Union[str, Any]						=    merges_handle.read().split('\n'						)[1:-1]
     a   :	List[str]						=    [tuple(merge.split()						) for merge in bpe_merges]
     a   :	Any						=    dict(zip(snake_case_  ,					range(len(snake_case_						)						)						)						)
     a   :	Optional[int]						=    {}
     a   :	Dict						=    add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     a   :	Optional[Any]						=    re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'						)
  @property
  # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
  def 							lowercase_     (						self						)				->					Optional[Any]:
     return len(self.encoder						)
  def 							lowercase_     (						self						)				->					List[str]:
     return dict(self.encoder  ,					**self.added_tokens_encoder						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Optional[Any]:
     if token in self.cache:
        return self.cache[token]
     a   :	Optional[Any]						=    tuple(snake_case_						)
     a   :	List[str]						=    get_pairs(snake_case_						)

     if not pairs:
        return token

     while True:
        a   :	Optional[int]						=    min(snake_case_  ,					key=lambda __UpperCAmelCase						: self.bpe_ranks.get(snake_case_  ,					float('inf'						)						)						)
        if bigram not in self.bpe_ranks:
           break
        a   :	Tuple						=    bigram
        a   :	List[str]						=    []
        a   :	Optional[int]						=    0
        while i < len(snake_case_						):
           try:
              a   :	Union[str, Any]						=    word.index(snake_case_  ,					snake_case_						)
           except ValueError:
              new_word.extend(word[i:]						)
              break
           else:
              new_word.extend(word[i:j]						)
              a   :	Optional[int]						=    j

           if word[i] == first and i < len(snake_case_						) - 1 and word[i + 1] == second:
              new_word.append(first + second						)
              i += 2
           else:
              new_word.append(word[i]						)
              i += 1
        a   :	Tuple						=    tuple(snake_case_						)
        a   :	str						=    new_word
        if len(snake_case_						) == 1:
           break
        else:
           a   :	Optional[Any]						=    get_pairs(snake_case_						)
     a   :	Dict						=    " ".join(snake_case_						)
     a   :	Any						=    word
     return word
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					List[Any]:
     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     a   :	int						=    [self.cls_token_id]
     a   :	Optional[int]						=    [self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None  ,					__UpperCAmelCase = False						)				->					Optional[Any]:
     if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=snake_case_  ,					token_ids_a=snake_case_  ,					already_has_special_tokens=snake_case_						)

     if token_ids_a is None:
        return [1] + ([0] * len(snake_case_						)) + [1]
     return [1] + ([0] * len(snake_case_						)) + [1] + ([0] * len(snake_case_						)) + [1]
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					List[str]:
     a   :	List[Any]						=    [self.sep_token_id]
     a   :	List[Any]						=    [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						) * [0] + len(token_ids_a + sep						) * [1]
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Tuple:
     a   :	str						=    []
     for token in re.findall(self.pat  ,					snake_case_						):
        a   :	List[str]						=    "".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(snake_case_						).split(' '						)						)
     return bpe_tokens
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Optional[int]:
     return self.encoder.get(snake_case_  ,					self.encoder.get(self.unk_token						)						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Union[str, Any]:
     return self.decoder.get(snake_case_						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					List[Any]:
     a   :	List[Any]						=    "".join(snake_case_						)
     a   :	Optional[Any]						=    bytearray([self.byte_decoder[c] for c in text]						).decode('utf-8'  ,					errors=self.errors						)
     return text
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					List[str]:
     if not os.path.isdir(snake_case_						):
        logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
        return
     a   :	Tuple						=    os.path.join(
         snake_case_  ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
     a   :	Union[str, Any]						=    os.path.join(
         snake_case_  ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

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

     a   :	Union[str, Any]						=    0
     with open(snake_case_  ,					'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!'						)
              a   :	List[str]						=    token_index
           writer.write(' '.join(snake_case_						) + '\n'						)
           index += 1

     return vocab_file, merge_file
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase=False  ,					**__UpperCAmelCase						)				->					Tuple:
     a   :	List[str]						=    kwargs.pop('add_prefix_space'  ,					self.add_prefix_space						)
     if (is_split_into_words or add_prefix_space) and (len(snake_case_						) > 0 and not text[0].isspace()):
        a   :	List[Any]						=    " " + text
     return (text, kwargs)






  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Any:
     a   :	Any						=    []
     for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(snake_case_  ,					add_special_tokens=snake_case_						) + [self.eos_token_id]						)
     if len(snake_case_						) > self.model_max_length:
        a   :	str						=    input_ids[-self.model_max_length :]
     return input_ids







"""simple docstring"""
import unittest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    SummarizationPipeline,
    TFPreTrainedModel,
    pipeline,
)
from transformers.testing_utils import get_gpu_count, is_pipeline_test, require_tf, require_torch, slow, torch_device
from transformers.tokenization_utils import TruncationStrategy

from .test_pipelines_common import ANY


_a   :      List[Any]       =				-1 if torch_device == """cpu""" else 0






@is_pipeline_test
class   _UpperCAmelCase					(       unittest.TestCase):
    __lowercase				:			List[str]	=       MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
    __lowercase				:			str	=       TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_    ,     snake_case_  ):
      _snake_case  :    int            = SummarizationPipeline(model=snake_case_    ,     tokenizer=snake_case_  )
      return summarizer, ["(CNN)The Palestinian Authority officially became", "Some other text"]
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_  ):
      _snake_case  :    str            = summarizer.model

      _snake_case  :    Optional[int]            = summarizer("(CNN)The Palestinian Authority officially became"  )
      self.assertEqual(snake_case_    ,     [{"summary_text": ANY(snake_case_  )}]  )

      _snake_case  :    List[str]            = summarizer(
          "(CNN)The Palestinian Authority officially became "    ,     num_beams=2    ,     min_length=2    ,     max_length=5    ,     )
      self.assertEqual(snake_case_    ,     [{"summary_text": ANY(snake_case_  )}]  )

      # Some models (Switch Transformers, LED, T5, LongT5, etc) can handle long sequences.
      _snake_case  :    Tuple            = [
          "SwitchTransformersConfig",
          "T5Config",
          "LongT5Config",
          "LEDConfig",
          "PegasusXConfig",
          "FSMTConfig",
          "M2M100Config",
          "ProphetNetConfig",  # positional embeddings up to a fixed maximum size (otherwise clamping the values)
      ]
      if model.config.__class__.__name__ not in model_can_handle_longer_seq:
        # Too long and exception is expected.
        # For TF models, if the weights are initialized in GPU context, we won't get expected index error from
        # the embedding layer.
        if not (
            isinstance(snake_case_    ,     snake_case_  )
            and get_gpu_count() > 0
            and len(summarizer.model.trainable_weights  ) > 0
        ):
          with self.assertRaises(snake_case_  ):
            _snake_case  :    Tuple            = summarizer("This " * 10_00  )
      _snake_case  :    Any            = summarizer("This " * 10_00    ,     truncation=TruncationStrategy.ONLY_FIRST  )
    @require_torch
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    List[Any]            = pipeline(task="summarization"    ,     model="sshleifer/tiny-mbart"    ,     framework="pt"  )
      _snake_case  :    List[Any]            = summarizer("This is a small test"  )
      self.assertEqual(
          snake_case_    ,     [
              {
                  "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
              }
          ]    ,     )
    @require_tf
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Dict            = pipeline(task="summarization"    ,     model="sshleifer/tiny-mbart"    ,     framework="tf"  )
      _snake_case  :    Union[str, Any]            = summarizer("This is a small test"  )
      self.assertEqual(
          snake_case_    ,     [
              {
                  "summary_text": "เข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไปเข้าไป"
              }
          ]    ,     )


    @require_torch
    @slow
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Tuple            = pipeline(task="summarization"    ,     device=snake_case_  )
      _snake_case  :    Any            = (
          " (CNN)The Palestinian Authority officially became the 123rd member of the International Criminal Court on"
          " Wednesday, a step that gives the court jurisdiction over alleged crimes in Palestinian territories. The"
          " formal accession was marked with a ceremony at The Hague, in the Netherlands, where the court is based."
          " The Palestinians signed the ICC's founding Rome Statute in January, when they also accepted its"
          " jurisdiction over alleged crimes committed \"in the occupied Palestinian territory, including East"
          " Jerusalem, since June 13, 2014.\" Later that month, the ICC opened a preliminary examination into the"
          " situation in Palestinian territories, paving the way for possible war crimes investigations against"
          " Israelis. As members of the court, Palestinians may be subject to counter-charges as well. Israel and"
          " the United States, neither of which is an ICC member, opposed the Palestinians' efforts to join the"
          " body. But Palestinian Foreign Minister Riad al-Malki, speaking at Wednesday's ceremony, said it was a"
          " move toward greater justice. \"As Palestine formally becomes a State Party to the Rome Statute today, the"
          " world is also a step closer to ending a long era of impunity and injustice,\" he said, according to an"
          " ICC news release. \"Indeed, today brings us closer to our shared goals of justice and peace.\" Judge"
          " Kuniko Ozaki, a vice president of the ICC, said acceding to the treaty was just the first step for the"
          " Palestinians. \"As the Rome Statute today enters into force for the State of Palestine, Palestine"
          " acquires all the rights as well as responsibilities that come with being a State Party to the Statute."
          " These are substantive commitments, which cannot be taken lightly,\" she said. Rights group Human Rights"
          " Watch welcomed the development. \"Governments seeking to penalize Palestine for joining the ICC should"
          " immediately end their pressure, and countries that support universal acceptance of the court's treaty"
          " should speak out to welcome its membership,\" said Balkees Jarrah, international justice counsel for the"
          " group. \"What's objectionable is the attempts to undermine international justice, not Palestine's"
          " decision to join a treaty to which over 100 countries around the world are members.\" In January, when"
          " the preliminary ICC examination was opened, Israeli Prime Minister Benjamin Netanyahu described it as an"
          " outrage, saying the court was overstepping its boundaries. The United States also said it \"strongly\""
          " disagreed with the court's decision. \"As we have said repeatedly, we do not believe that Palestine is a"
          " state and therefore we do not believe that it is eligible to join the ICC,\" the State Department said in"
          " a statement. It urged the warring sides to resolve their differences through direct negotiations. \"We"
          " will continue to oppose actions against Israel at the ICC as counterproductive to the cause of peace,\""
          " it said. But the ICC begs to differ with the definition of a state for its purposes and refers to the"
          " territories as \"Palestine.\" While a preliminary examination is not a formal investigation, it allows the"
          " court to review evidence and determine whether to investigate suspects on both sides. Prosecutor Fatou"
          " Bensouda said her office would \"conduct its analysis in full independence and impartiality.\" The war"
          " between Israel and Hamas militants in Gaza last summer left more than 2,000 people dead. The inquiry"
          " will include alleged war crimes committed since June. The International Criminal Court was set up in"
          " 2002 to prosecute genocide, crimes against humanity and war crimes. CNN's Vasco Cotovio, Kareem Khadder"
          " and Faith Karimi contributed to this report."
      )
      _snake_case  :    int            = (
          " The Palestinian Authority becomes the 123rd member of the International Criminal Court . The move gives"
          " the court jurisdiction over alleged crimes in Palestinian territories . Israel and the United States"
          " opposed the Palestinians' efforts to join the court . Rights group Human Rights Watch welcomes the move,"
          " says governments seeking to penalize Palestine should end pressure ."
      )
      _snake_case  :    Union[str, Any]            = summarizer(snake_case_  )
      self.assertEqual(result[0]["summary_text"]    ,     snake_case_  )

