






'''simple docstring'''

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

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__     =       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__     =       {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

SCREAMING_SNAKE_CASE__     =       {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

SCREAMING_SNAKE_CASE__     =       {'facebook/blenderbot_small-90M': 5_1_2}







def    lowercase__			(				__UpperCamelCase   )->			Optional[Any]:
      UpperCamelCase      = set()
      UpperCamelCase      = word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)   )
            UpperCamelCase      = char

      UpperCamelCase      = set(__UpperCamelCase   )
      return pairs






class     a_						(      lowerCamelCase    ):
  lowercase							=				VOCAB_FILES_NAMES
  lowercase							=				PRETRAINED_VOCAB_FILES_MAP
  lowercase							=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase							=				["""input_ids""", """attention_mask"""]

  def __init__(				self      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE="__start__"      ,		_SCREAMING_SNAKE_CASE="__end__"      ,		_SCREAMING_SNAKE_CASE="__unk__"      ,		_SCREAMING_SNAKE_CASE="__null__"      ,		**_SCREAMING_SNAKE_CASE      ,		)  ->				Any:



        """simple docstring"""






        super().__init__(unk_token=_SCREAMING_SNAKE_CASE      ,		bos_token=_SCREAMING_SNAKE_CASE      ,		eos_token=_SCREAMING_SNAKE_CASE      ,		pad_token=_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)

        with open(_SCREAMING_SNAKE_CASE      ,		encoding="""utf-8"""				) as vocab_handle:
              UpperCamelCase      = json.load(_SCREAMING_SNAKE_CASE				)
        UpperCamelCase      = {v: k for k, v in self.encoder.items()}
        with open(_SCREAMING_SNAKE_CASE      ,		encoding="""utf-8"""				) as merges_handle:
              UpperCamelCase      = merges_handle.read().split("""\n"""				)[1:-1]
        UpperCamelCase      = [tuple(merge.split()				) for merge in merges]
        UpperCamelCase      = dict(zip(_SCREAMING_SNAKE_CASE      ,		range(len(_SCREAMING_SNAKE_CASE				)				)				)				)
        UpperCamelCase      = {}

  @property
  def   A__						(				self				)  ->				int:



        """simple docstring"""






        return len(self.encoder				)

  def   A__						(				self				)  ->				Dict:



        """simple docstring"""






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

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				str:



        """simple docstring"""






        if token in self.cache:
              return self.cache[token]
        UpperCamelCase      = re.sub("""([.,!?()])"""      ,		R""" \1"""      ,		_SCREAMING_SNAKE_CASE				)
        UpperCamelCase      = re.sub("""(')"""      ,		R""" \1 """      ,		_SCREAMING_SNAKE_CASE				)
        UpperCamelCase      = re.sub(R"""\s{2,}"""      ,		""" """      ,		_SCREAMING_SNAKE_CASE				)
        if "\n" in token:
              UpperCamelCase      = token.replace("""\n"""      ,		""" __newln__"""				)

        UpperCamelCase      = token.split(""" """				)
        UpperCamelCase      = []
        for token in tokens:
              if not len(_SCREAMING_SNAKE_CASE				):
                    continue

              UpperCamelCase      = token.lower()
              UpperCamelCase      = tuple(_SCREAMING_SNAKE_CASE				)
              UpperCamelCase      = tuple(list(word[:-1]				) + [word[-1] + """</w>"""]				)
              UpperCamelCase      = get_pairs(_SCREAMING_SNAKE_CASE				)

              if not pairs:
                    words.append(_SCREAMING_SNAKE_CASE				)
                    continue

              while True:
                    UpperCamelCase      = min(_SCREAMING_SNAKE_CASE      ,		key=lambda _SCREAMING_SNAKE_CASE				: self.bpe_ranks.get(_SCREAMING_SNAKE_CASE      ,		float("""inf"""				)				)				)
                    if bigram not in self.bpe_ranks:
                          break
                    UpperCamelCase  ,UpperCamelCase      = bigram
                    UpperCamelCase      = []
                    UpperCamelCase      = 0

                    while i < len(_SCREAMING_SNAKE_CASE				):
                          try:
                                UpperCamelCase      = word.index(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
                                new_word.extend(word[i:j]				)
                                UpperCamelCase      = j
                          except ValueError:
                                new_word.extend(word[i:]				)
                                break

                          if word[i] == first and i < len(_SCREAMING_SNAKE_CASE				) - 1 and word[i + 1] == second:
                                new_word.append(first + second				)
                                i += 2
                          else:
                                new_word.append(word[i]				)
                                i += 1
                    UpperCamelCase      = tuple(_SCREAMING_SNAKE_CASE				)
                    UpperCamelCase      = new_word
                    if len(_SCREAMING_SNAKE_CASE				) == 1:
                          break
                    else:
                          UpperCamelCase      = get_pairs(_SCREAMING_SNAKE_CASE				)
              UpperCamelCase      = """@@ """.join(_SCREAMING_SNAKE_CASE				)
              UpperCamelCase      = word[:-4]

              UpperCamelCase      = word
              words.append(_SCREAMING_SNAKE_CASE				)
        return " ".join(_SCREAMING_SNAKE_CASE				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				List[str]:



        """simple docstring"""






        UpperCamelCase      = []

        UpperCamelCase      = re.findall(R"""\S+\n?"""      ,		_SCREAMING_SNAKE_CASE				)

        for token in words:
              split_tokens.extend(list(self.bpe(_SCREAMING_SNAKE_CASE				).split(""" """				)				)				)
        return split_tokens

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				int:



        """simple docstring"""






        UpperCamelCase      = token.lower()
        return self.encoder.get(_SCREAMING_SNAKE_CASE      ,		self.encoder.get(self.unk_token				)				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				str:



        """simple docstring"""






        return self.decoder.get(_SCREAMING_SNAKE_CASE      ,		self.unk_token				)

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				str:



        """simple docstring"""






        UpperCamelCase      = """ """.join(_SCREAMING_SNAKE_CASE				).replace("""@@ """      ,		""""""				).strip()
        return out_string


  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE = None				)  ->				Tuple[str]:



        """simple docstring"""






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

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

        UpperCamelCase      = 0
        with open(_SCREAMING_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 _SCREAMING_SNAKE_CASE				: 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(_SCREAMING_SNAKE_CASE				) + """\n"""				)
                    index += 1

        return vocab_file, merge_file








'''simple docstring'''

import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)






class     a_						(      unittest.TestCase    ):

  def   A__						(				self				)  ->				Tuple:



        """simple docstring"""






        UpperCamelCase      = ["""a""", """b""", """c"""]

        # Defaults to last layer if both are None
        UpperCamelCase  ,UpperCamelCase      = get_aligned_output_features_output_indices(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		["""c"""]				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		[2]				)

        # Out indices set to match out features
        UpperCamelCase  ,UpperCamelCase      = get_aligned_output_features_output_indices(["""a""", """c"""]      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		["""a""", """c"""]				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		[0, 2]				)

        # Out features set to match out indices
        UpperCamelCase  ,UpperCamelCase      = get_aligned_output_features_output_indices(_SCREAMING_SNAKE_CASE      ,		[0, 2]      ,		_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		["""a""", """c"""]				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		[0, 2]				)

        # Out features selected from negative indices
        UpperCamelCase  ,UpperCamelCase      = get_aligned_output_features_output_indices(_SCREAMING_SNAKE_CASE      ,		[-3, -1]      ,		_SCREAMING_SNAKE_CASE				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		["""a""", """c"""]				)
        self.assertEqual(_SCREAMING_SNAKE_CASE      ,		[-3, -1]				)

  def   A__						(				self				)  ->				str:



        """simple docstring"""






        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(["""a""", """b"""]      ,		(0, 1)      ,		_SCREAMING_SNAKE_CASE				)

        # Out features must be a list
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(("""a""", """b""")      ,		(0, 1)      ,		["""a""", """b"""]				)

        # Out features must be a subset of stage names
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(["""a""", """b"""]      ,		(0, 1)      ,		["""a"""]				)

        # Out indices must be a list or tuple
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(_SCREAMING_SNAKE_CASE      ,		0      ,		["""a""", """b"""]				)

        # Out indices must be a subset of stage names
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(_SCREAMING_SNAKE_CASE      ,		(0, 1)      ,		["""a"""]				)

        # Out features and out indices must be the same length
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(["""a""", """b"""]      ,		(0,)      ,		["""a""", """b""", """c"""]				)

        # Out features should match out indices
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(["""a""", """b"""]      ,		(0, 2)      ,		["""a""", """b""", """c"""]				)

        # Out features and out indices should be in order
        with self.assertRaises(_SCREAMING_SNAKE_CASE				):
              verify_out_features_out_indices(["""b""", """a"""]      ,		(0, 1)      ,		["""a""", """b"""]				)

        # Check passes with valid inputs
        verify_out_features_out_indices(["""a""", """b""", """d"""]      ,		(0, 1, -1)      ,		["""a""", """b""", """c""", """d"""]				)


  def   A__						(				self				)  ->				Union[str, Any]:



        """simple docstring"""






        UpperCamelCase      = BackboneMixin()

        UpperCamelCase      = ["""a""", """b""", """c"""]
        UpperCamelCase      = ["""a""", """c"""]
        UpperCamelCase      = [0, 2]

        # Check that the output features and indices are set correctly
        self.assertEqual(backbone.out_features      ,		["""a""", """c"""]				)
        self.assertEqual(backbone.out_indices      ,		[0, 2]				)

        # Check out features and indices are updated correctly
        UpperCamelCase      = ["""a""", """b"""]
        self.assertEqual(backbone.out_features      ,		["""a""", """b"""]				)
        self.assertEqual(backbone.out_indices      ,		[0, 1]				)

        UpperCamelCase      = [-3, -1]
        self.assertEqual(backbone.out_features      ,		["""a""", """c"""]				)
        self.assertEqual(backbone.out_indices      ,		[-3, -1]				)
