import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCAmelCase__							= logging.get_logger(__name__)
lowerCAmelCase__							= {'vocab_file': 'spiece.model'}

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',
    },
}

lowerCAmelCase__							= {
    'google/fnet-base': 512,
    'google/fnet-large': 512,
}

lowerCAmelCase__							= '▁'
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					VOCAB_FILES_NAMES
 UpperCAmelCase_	 =					PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase_	 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase_	 =					['input_ids', 'token_type_ids']




 def __init__(			self					:  Optional[int]			,    lowercase__					:  Union[str, Any]			,    lowercase__					:  Dict=False			,    lowercase__					:  str=True			,    lowercase__					:  Tuple=True			,    lowercase__					:  Any="<unk>"			,    lowercase__					:  List[Any]="[SEP]"			,    lowercase__					:  List[str]="<pad>"			,    lowercase__					:  Tuple="[CLS]"			,    lowercase__					:  Dict="[MASK]"			,    lowercase__					:  Optional[Dict[str, Any]] = None			,    **lowercase__					:  Union[str, Any]			,    ):







        '''simple docstring'''



        lowerCAmelCase__     	=					(
            AddedToken(lowercase__			,    lstrip=lowercase__			,    rstrip=lowercase__			,    normalized=lowercase__)
            if isinstance(lowercase__			,    lowercase__)
            else mask_token
        )

        lowerCAmelCase__     	=					{} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            do_lower_case=lowercase__			,    remove_space=lowercase__			,    keep_accents=lowercase__			,    unk_token=lowercase__			,    sep_token=lowercase__			,    pad_token=lowercase__			,    cls_token=lowercase__			,    mask_token=lowercase__			,    sp_model_kwargs=self.sp_model_kwargs			,    **lowercase__			,    )

        lowerCAmelCase__     	=					do_lower_case
        lowerCAmelCase__     	=					remove_space
        lowerCAmelCase__     	=					keep_accents
        lowerCAmelCase__     	=					vocab_file

        lowerCAmelCase__     	=					spm.SentencePieceProcessor(**self.sp_model_kwargs)
        self.sp_model.Load(lowercase__)




 @property
 def 		__snake_case						(			self					:  int):







        '''simple docstring'''



        return len(self.sp_model)




 def 		__snake_case						(			self					:  Any):







        '''simple docstring'''



        lowerCAmelCase__     	=					{self.convert_ids_to_tokens(lowercase__): i for i in range(self.vocab_size)}
        vocab.update(self.added_tokens_encoder)
        return vocab




 def __getstate__(			self					:  int):







        '''simple docstring'''



        lowerCAmelCase__     	=					self.__dict__.copy()
        lowerCAmelCase__     	=					None
        return state




 def __setstate__(			self					:  Any			,    lowercase__					:  str):







        '''simple docstring'''



        lowerCAmelCase__     	=					d

        # for backward compatibility
        if not hasattr(self			,    'sp_model_kwargs'):
               lowerCAmelCase__     	=					{}

        lowerCAmelCase__     	=					spm.SentencePieceProcessor(**self.sp_model_kwargs)
        self.sp_model.Load(self.vocab_file)




 def 		__snake_case						(			self					:  Optional[Any]			,    lowercase__					:  Optional[int]):







        '''simple docstring'''



        if self.remove_space:
               lowerCAmelCase__     	=					' '.join(inputs.strip().split())
        else:
               lowerCAmelCase__     	=					inputs
        lowerCAmelCase__     	=					outputs.replace('``'			,    '"').replace('\'\''			,    '"')

        if not self.keep_accents:
               lowerCAmelCase__     	=					unicodedata.normalize('NFKD'			,    lowercase__)
               lowerCAmelCase__     	=					''.join([c for c in outputs if not unicodedata.combining(lowercase__)])
        if self.do_lower_case:
               lowerCAmelCase__     	=					outputs.lower()

        return outputs




 def 		__snake_case						(			self					:  Any			,    lowercase__					:  str):







        '''simple docstring'''



        lowerCAmelCase__     	=					self.preprocess_text(lowercase__)
        lowerCAmelCase__     	=					self.sp_model.encode(lowercase__			,    out_type=lowercase__)
        lowerCAmelCase__     	=					[]
        for piece in pieces:
               if len(lowercase__) > 1 and piece[-1] == str(',') and piece[-2].isdigit():
                      lowerCAmelCase__     	=					self.sp_model.EncodeAsPieces(piece[:-1].replace(lowercase__			,    ''))
                      if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                             if len(cur_pieces[0]) == 1:
                                    lowerCAmelCase__     	=					cur_pieces[1:]
                             else:
                                    lowerCAmelCase__     	=					cur_pieces[0][1:]
                      cur_pieces.append(piece[-1])
                      new_pieces.extend(lowercase__)
               else:
                      new_pieces.append(lowercase__)

        return new_pieces




 def 		__snake_case						(			self					:  Dict			,    lowercase__					:  Optional[int]):







        '''simple docstring'''



        return self.sp_model.PieceToId(lowercase__)




 def 		__snake_case						(			self					:  Any			,    lowercase__					:  int):







        '''simple docstring'''



        return self.sp_model.IdToPiece(lowercase__)




 def 		__snake_case						(			self					:  Optional[Any]			,    lowercase__					:  Dict):







        '''simple docstring'''



        lowerCAmelCase__     	=					[]
        lowerCAmelCase__     	=					''
        lowerCAmelCase__     	=					False
        for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                      if not prev_is_special:
                             out_string += " "
                      out_string += self.sp_model.decode(lowercase__) + token
                      lowerCAmelCase__     	=					True
                      lowerCAmelCase__     	=					[]
               else:
                      current_sub_tokens.append(lowercase__)
                      lowerCAmelCase__     	=					False
        out_string += self.sp_model.decode(lowercase__)
        return out_string.strip()




 def 		__snake_case						(			self					:  Optional[int]			,    lowercase__					:  List[int]			,    lowercase__					:  bool = False			,    lowercase__					:  bool = None			,    lowercase__					:  bool = True			,    **lowercase__					:  Any			,    ):







        '''simple docstring'''



        lowerCAmelCase__     	=					kwargs.pop('use_source_tokenizer'			,    lowercase__)

        lowerCAmelCase__     	=					self.convert_ids_to_tokens(lowercase__			,    skip_special_tokens=lowercase__)

        # To avoid mixing byte-level and unicode for byte-level BPT
        # we need to build string separately for added tokens and byte-level tokens
        # cf. https://github.com/huggingface/transformers/issues/1133
        lowerCAmelCase__     	=					[]
        lowerCAmelCase__     	=					[]
        for token in filtered_tokens:
               if skip_special_tokens and token in self.all_special_ids:
                      continue
               if token in self.added_tokens_encoder:
                      if current_sub_text:
                             sub_texts.append(self.convert_tokens_to_string(lowercase__))
                             lowerCAmelCase__     	=					[]
                      sub_texts.append(lowercase__)
               else:
                      current_sub_text.append(lowercase__)
        if current_sub_text:
               sub_texts.append(self.convert_tokens_to_string(lowercase__))

        # Mimic the behavior of the Rust tokenizer:
        # No space after <unk>
        if spaces_between_special_tokens:
               lowerCAmelCase__     	=					re.sub(r'(<unk>) '			,    r'\1'			,    ' '.join(lowercase__))
        else:
               lowerCAmelCase__     	=					''.join(lowercase__)

        lowerCAmelCase__     	=					(
            clean_up_tokenization_spaces
            if clean_up_tokenization_spaces is not None
            else self.clean_up_tokenization_spaces
        )
        if clean_up_tokenization_spaces:
               lowerCAmelCase__     	=					self.clean_up_tokenization(lowercase__)
               return clean_text
        else:
               return text




 def 		__snake_case						(			self					:  Union[str, Any]			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					[self.sep_token_id]
        lowerCAmelCase__     	=					[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 		__snake_case						(			self					:  List[Any]			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = None			,    lowercase__					:  bool = False):







        '''simple docstring'''



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

        if token_ids_a is not None:
               return [1] + ([0] * len(lowercase__)) + [1] + ([0] * len(lowercase__)) + [1]
        return [1] + ([0] * len(lowercase__)) + [1]




 def 		__snake_case						(			self					:  Optional[Any]			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					[self.sep_token_id]
        lowerCAmelCase__     	=					[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 		__snake_case						(			self					:  Union[str, Any]			,    lowercase__					:  str			,    lowercase__					:  Optional[str] = None):







        '''simple docstring'''



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

        if os.path.abspath(self.vocab_file) != os.path.abspath(lowercase__) and os.path.isfile(self.vocab_file):
               copyfile(self.vocab_file			,    lowercase__)
        elif not os.path.isfile(self.vocab_file):
               with open(lowercase__			,    'wb') as fi:
                      lowerCAmelCase__     	=					self.sp_model.serialized_model_proto()
                      fi.write(lowercase__)

        return (out_vocab_file,)








import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
							lowercase     :							List[Any]	     =			[]

							lowercase     :							Optional[int]	     =			os.path.join('''tests''', '''models''', '''**''', '''test_modeling_*.py''')
							lowercase     :							Optional[Any]	     =			glob.glob(pattern)
							# TODO: deal with TF/Flax too
							lowercase     :							Tuple	     =			[
							    x for x in test_files if not (x.startswith('''test_modeling_tf_''') or x.startswith('''test_modeling_flax_'''))
							]

							for test_file in test_files:
														lowercase     :							Union[str, Any]	     =			get_tester_classes(test_file)
														for tester_class in tester_classes:
																					# A few tester classes don't have `parent` parameter in `__init__`.
																					# TODO: deal this better
																					try:
																												lowercase     :							Union[str, Any]	     =			tester_class(parent=None)
																					except Exception:
																												continue
																					if hasattr(tester, '''get_config'''):
																												lowercase     :							Tuple	     =			tester.get_config()
																												for k, v in config.to_dict().items():
																																			if isinstance(v, int):
																																										lowercase     :							Tuple	     =			None
																																										if k in ["vocab_size"]:
																																																	lowercase     :							str	     =			1_00
																																										elif k in ["max_position_embeddings"]:
																																																	lowercase     :							List[str]	     =			1_28
																																										elif k in ["hidden_size", "d_model"]:
																																																	lowercase     :							Union[str, Any]	     =			40
																																										elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																																	lowercase     :							List[str]	     =			5
																																										if target is not None and v > target:
																																																	failures.append(
																																																	    F"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
																																																	    F""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
																																																	    F""" than {target}."""
																																																	)

							if len(failures) > 0:
														raise Exception(F"""There were {len(failures)} failures:\n""" + '''\n'''.join(failures))
