
import json
import os
from functools import lru_cache
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

__magic_name__  :  Tuple     			=   logging.get_logger(__name__)

__magic_name__  :  List[Any]     			=   {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

__magic_name__  :  Tuple     			=   {
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

__magic_name__  :  int     			=   {
    'gpt2': 1_0_2_4,
    'gpt2-medium': 1_0_2_4,
    'gpt2-large': 1_0_2_4,
    'gpt2-xl': 1_0_2_4,
    'distilgpt2': 1_0_2_4,
}





@lru_cache()
def        lowerCAmelCase       (				)->			Optional[Any]:
    A_								=					(
        list(range(ord("!" )				,					ord("~" ) + 1 ) ) + list(range(ord("¡" )				,					ord("¬" ) + 1 ) ) + list(range(ord("®" )				,					ord("ÿ" ) + 1 ) )
    )
    A_								=					bs[:]
    A_								=					0
    for b in range(2**8 ):
        if b not in bs:
            bs.append(snake_case__ )
            cs.append(2**8 + n )
            n += 1
    A_								=					[chr(snake_case__ ) for n in cs]
    return dict(zip(snake_case__				,					snake_case__ ) )





def        lowerCAmelCase       (				snake_case__   :      Tuple )->			Tuple:
    A_								=					set()
    A_								=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        A_								=					char
    return pairs



class 							lowerCamelCase       (		__snake_case					):



  """simple docstring"""





  lowerCAmelCase_								=		VOCAB_FILES_NAMES
  lowerCAmelCase_								=		PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase_								=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCAmelCase_								=		["""input_ids""", """attention_mask"""]

  def __init__(					self						,    __UpperCamelCase						,    __UpperCamelCase						,    __UpperCamelCase="replace"						,    __UpperCamelCase="<|endoftext|>"						,    __UpperCamelCase="<|endoftext|>"						,    __UpperCamelCase="<|endoftext|>"						,    __UpperCamelCase=None						,    __UpperCamelCase=False						,    __UpperCamelCase=False						,    **__UpperCamelCase						,    ):
      A_								=					AddedToken(__UpperCamelCase						,    lstrip=__UpperCamelCase						,    rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase						,    __UpperCamelCase					) else bos_token
      A_								=					AddedToken(__UpperCamelCase						,    lstrip=__UpperCamelCase						,    rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase						,    __UpperCamelCase					) else eos_token
      A_								=					AddedToken(__UpperCamelCase						,    lstrip=__UpperCamelCase						,    rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase						,    __UpperCamelCase					) else unk_token
      A_								=					AddedToken(__UpperCamelCase						,    lstrip=__UpperCamelCase						,    rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase						,    __UpperCamelCase					) else pad_token
      super().__init__(
          errors=__UpperCamelCase						,    unk_token=__UpperCamelCase						,    bos_token=__UpperCamelCase						,    eos_token=__UpperCamelCase						,    pad_token=__UpperCamelCase						,    add_prefix_space=__UpperCamelCase						,    add_bos_token=__UpperCamelCase						,    **__UpperCamelCase						,    )
      A_								=					add_bos_token

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

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      A_								=					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					):
      return len(self.encoder					)

  def 					lowercase_						(					self					):
      return dict(self.encoder						,    **self.added_tokens_encoder					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      if token in self.cache:
          return self.cache[token]
      A_								=					tuple(__UpperCamelCase					)
      A_								=					get_pairs(__UpperCamelCase					)

      if not pairs:
          return token

      while True:
          A_								=					min(__UpperCamelCase						,    key=lambda __UpperCamelCase					: self.bpe_ranks.get(__UpperCamelCase						,    float("inf"					)					)					)
          if bigram not in self.bpe_ranks:
              break
          A_	,	A_								=					bigram
          A_								=					[]
          A_								=					0
          while i < len(__UpperCamelCase					):
              try:
                  A_								=					word.index(__UpperCamelCase						,    __UpperCamelCase					)
              except ValueError:
                  new_word.extend(word[i:]					)
                  break
              else:
                  new_word.extend(word[i:j]					)
                  A_								=					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
          A_								=					tuple(__UpperCamelCase					)
          A_								=					new_word
          if len(__UpperCamelCase					) == 1:
              break
          else:
              A_								=					get_pairs(__UpperCamelCase					)
      A_								=					" ".join(__UpperCamelCase					)
      A_								=					word
      return word

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase=None					):
      if self.add_bos_token:
          A_								=					[self.bos_token_id]
      else:
          A_								=					[]

      A_								=					bos_token_ids + token_ids_a

      if token_ids_a is None:
          return output

      return output + bos_token_ids + token_ids_a

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase = None						,    __UpperCamelCase = False					):
      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 not self.add_bos_token:
          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					))
      return [1] + ([0] * len(__UpperCamelCase					)) + [1] + ([0] * len(__UpperCamelCase					))

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      A_								=					[]
      for token in re.findall(self.pat						,    __UpperCamelCase					):
          A_								=					"".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						,    __UpperCamelCase					):
      return self.encoder.get(__UpperCamelCase						,    self.encoder.get(self.unk_token					)					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      return self.decoder.get(__UpperCamelCase					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      A_								=					"".join(__UpperCamelCase					)
      A_								=					bytearray([self.byte_decoder[c] for c in text]					).decode("utf-8"						,    errors=self.errors					)
      return text

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase = None					):
      if not os.path.isdir(__UpperCamelCase					):
          logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
          return
      A_								=					os.path.join(
          __UpperCamelCase						,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)
      A_								=					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"					)

      A_								=					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!"					)
                  A_								=					token_index
              writer.write(" ".join(__UpperCamelCase					) + "\n"					)
              index += 1

      return vocab_file, merge_file

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase=False						,    **__UpperCamelCase					):
      A_								=					kwargs.pop("add_prefix_space"						,    self.add_prefix_space					)
      if is_split_into_words or add_prefix_space:
          A_								=					" " + text
      return (text, kwargs)

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








import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
     from PIL import Image


class 							lowerCamelCase       (		unittest.TestCase			,  __snake_case					):



  """simple docstring"""





  def 					lowercase_						(					self					):
      A_								=					load_tool("image-question-answering"					)
      self.tool.setup()
      A_								=					load_tool("image-question-answering"						,    remote=__UpperCamelCase					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.tool(__UpperCamelCase						,    "How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.remote_tool(__UpperCamelCase						,    "How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.tool(image=__UpperCamelCase						,    question="How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.remote_tool(image=__UpperCamelCase						,    question="How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)






