

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_fnet import FNetTokenizer
else:
     lowerCAmelCase_					    = None

lowerCAmelCase_					    = logging.get_logger(__name__)
lowerCAmelCase_					    = {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_					    = {
    '''vocab_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/spiece.model''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json''',
    },
}

lowerCAmelCase_					    = {
    '''google/fnet-base''': 5_12,
    '''google/fnet-large''': 5_12,
}

lowerCAmelCase_					    = '''▁'''






class  _lowerCAmelCase     (  a__	):
      A__		     =		VOCAB_FILES_NAMES
      A__		     =		PRETRAINED_VOCAB_FILES_MAP
      A__		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A__		     =		["""input_ids""", """token_type_ids"""]
      A__		     =		FNetTokenizer

      def __init__(   self      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=False      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase="<unk>"      ,				__UpperCAmelCase="[SEP]"      ,				__UpperCAmelCase="<pad>"      ,				__UpperCAmelCase="[CLS]"      ,				__UpperCAmelCase="[MASK]"      ,				**__UpperCAmelCase      ,				):
        # Mask token behave like a normal word, i.e. include the space before it and
        # is included in the raw text, there should be a match in a non-normalized sentence.
        lowerCAmelCase__				:  str		       =     (
            AddedToken(lowerCAmelCase__      ,				lstrip=lowerCAmelCase__      ,				rstrip=lowerCAmelCase__      ,				normalized=lowerCAmelCase__		)
            if isinstance(lowerCAmelCase__      ,				lowerCAmelCase__		)
            else mask_token
        )

        super().__init__(
            lowerCAmelCase__      ,				tokenizer_file=lowerCAmelCase__      ,				do_lower_case=lowerCAmelCase__      ,				remove_space=lowerCAmelCase__      ,				keep_accents=lowerCAmelCase__      ,				unk_token=lowerCAmelCase__      ,				sep_token=lowerCAmelCase__      ,				pad_token=lowerCAmelCase__      ,				cls_token=lowerCAmelCase__      ,				mask_token=lowerCAmelCase__      ,				**lowerCAmelCase__      ,				)

        lowerCAmelCase__				:  Any		       =     do_lower_case
        lowerCAmelCase__				:  str		       =     remove_space
        lowerCAmelCase__				:  Any		       =     keep_accents
        lowerCAmelCase__				:  Optional[Any]		       =     vocab_file
        lowerCAmelCase__				:  int		       =     False if not self.vocab_file else True

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Optional[Any]		       =     [self.sep_token_id]
        lowerCAmelCase__				:  Union[str, Any]		       =     [self.cls_token_id]
        if token_ids_a is None:
          return cls + token_ids_a + sep
        return cls + token_ids_a + sep + token_ids_a + sep

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Any		       =     [self.sep_token_id]
        lowerCAmelCase__				:  Optional[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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        if not os.path.isdir(lowerCAmelCase__		):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
          return
        lowerCAmelCase__				:  Union[str, Any]		       =     os.path.join(
            lowerCAmelCase__      ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

        if os.path.abspath(self.vocab_file		) != os.path.abspath(lowerCAmelCase__		):
          copyfile(self.vocab_file      ,				lowerCAmelCase__		)

        return (out_vocab_file,)







import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    """The `inpainting.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionInpaintPipeline` instead."""
)

