
'''simple docstring'''







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


_snake_case					: Any     			=					logging.get_logger(__name__)
_snake_case					: int     			=					{"""vocab_file""": """spiece.model"""}

_snake_case					: Tuple     			=					{
    """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""",
    },
}

_snake_case					: Union[str, Any]     			=					{
    """google/fnet-base""": 512,
    """google/fnet-large""": 512,
}

_snake_case					: Optional[int]     			=					"""▁"""


class       lowerCAmelCase			(					__UpperCAmelCase      ):
		a				:       int							=       VOCAB_FILES_NAMES
		a				:       Optional[int]							=       PRETRAINED_VOCAB_FILES_MAP
		a				:       Union[str, Any]							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a				:       Any							=       ["""input_ids""", """token_type_ids"""]




		def __init__(					self       ,    UpperCamelCase       ,    UpperCamelCase=False       ,    UpperCamelCase=True       ,    UpperCamelCase=True       ,    UpperCamelCase="<unk>"       ,    UpperCamelCase="[SEP]"       ,    UpperCamelCase="<pad>"       ,    UpperCamelCase="[CLS]"       ,    UpperCamelCase="[MASK]"       ,    UpperCamelCase = None       ,    **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.
								_SCREAMING_SNAKE_CASE					=			(
								    AddedToken(UpperCamelCase       ,    lstrip=UpperCamelCase       ,    rstrip=UpperCamelCase       ,    normalized=UpperCamelCase   )
								    if isinstance(UpperCamelCase       ,    UpperCamelCase   )
								    else mask_token
								)

								_SCREAMING_SNAKE_CASE					=			{} if sp_model_kwargs is None else sp_model_kwargs

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

								_SCREAMING_SNAKE_CASE					=			do_lower_case
								_SCREAMING_SNAKE_CASE					=			remove_space
								_SCREAMING_SNAKE_CASE					=			keep_accents
								_SCREAMING_SNAKE_CASE					=			vocab_file

								_SCREAMING_SNAKE_CASE					=			spm.SentencePieceProcessor(**self.sp_model_kwargs   )
								self.sp_model.Load(UpperCamelCase   )




		@property
		def      lowercase							(					self   ):
								return len(self.sp_model   )




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			{self.convert_ids_to_tokens(UpperCamelCase   ): i for i in range(self.vocab_size   )}
								vocab.update(self.added_tokens_encoder   )
								return vocab




		def __getstate__(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.__dict__.copy()
								_SCREAMING_SNAKE_CASE					=			None
								return state




		def __setstate__(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			d

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

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




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

								if not self.keep_accents:
														_SCREAMING_SNAKE_CASE					=			unicodedata.normalize("NFKD"       ,    UpperCamelCase   )
														_SCREAMING_SNAKE_CASE					=			"".join([c for c in outputs if not unicodedata.combining(UpperCamelCase   )]   )
								if self.do_lower_case:
														_SCREAMING_SNAKE_CASE					=			outputs.lower()

								return outputs




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

								return new_pieces




		def      lowercase							(					self       ,    UpperCamelCase   ):
								return self.sp_model.PieceToId(UpperCamelCase   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								return self.sp_model.IdToPiece(UpperCamelCase   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			[]
								_SCREAMING_SNAKE_CASE					=			""
								_SCREAMING_SNAKE_CASE					=			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(UpperCamelCase   ) + token
																				_SCREAMING_SNAKE_CASE					=			True
																				_SCREAMING_SNAKE_CASE					=			[]
														else:
																				current_sub_tokens.append(UpperCamelCase   )
																				_SCREAMING_SNAKE_CASE					=			False
								out_string += self.sp_model.decode(UpperCamelCase   )
								return out_string.strip()




		def      lowercase							(					self       ,    UpperCamelCase       ,    UpperCamelCase = False       ,    UpperCamelCase = None       ,    UpperCamelCase = True       ,    **UpperCamelCase       ,    ):
								_SCREAMING_SNAKE_CASE					=			kwargs.pop("use_source_tokenizer"       ,    UpperCamelCase   )

								_SCREAMING_SNAKE_CASE					=			self.convert_ids_to_tokens(UpperCamelCase       ,    skip_special_tokens=UpperCamelCase   )

								# 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
								_SCREAMING_SNAKE_CASE					=			[]
								_SCREAMING_SNAKE_CASE					=			[]
								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(UpperCamelCase   )   )
																										_SCREAMING_SNAKE_CASE					=			[]
																				sub_texts.append(UpperCamelCase   )
														else:
																				current_sub_text.append(UpperCamelCase   )
								if current_sub_text:
														sub_texts.append(self.convert_tokens_to_string(UpperCamelCase   )   )

								# Mimic the behavior of the Rust tokenizer:
								# No space after <unk>
								if spaces_between_special_tokens:
														_SCREAMING_SNAKE_CASE					=			re.sub(R"(<unk>) "       ,    R"\1"       ,    " ".join(UpperCamelCase   )   )
								else:
														_SCREAMING_SNAKE_CASE					=			"".join(UpperCamelCase   )

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




		def      lowercase							(					self       ,    UpperCamelCase       ,    UpperCamelCase = None   ):
								_SCREAMING_SNAKE_CASE					=			[self.sep_token_id]
								_SCREAMING_SNAKE_CASE					=			[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      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 token_ids_a is not None:
														return [1] + ([0] * len(UpperCamelCase   )) + [1] + ([0] * len(UpperCamelCase   )) + [1]
								return [1] + ([0] * len(UpperCamelCase   )) + [1]




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

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

								return (out_vocab_file,)

'''simple docstring'''







from ..utils import DummyObject, requires_backends


class       lowerCAmelCase			(					metaclass=__UpperCAmelCase      ):
		a				:       Any							=       ["""torch""", """transformers""", """invisible_watermark"""]




		def __init__(					self       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(self       ,    ["torch", "transformers", "invisible_watermark"]   )




		@classmethod
		def      lowercase							(					cls       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(cls       ,    ["torch", "transformers", "invisible_watermark"]   )




		@classmethod
		def      lowercase							(					cls       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(cls       ,    ["torch", "transformers", "invisible_watermark"]   )


class       lowerCAmelCase			(					metaclass=__UpperCAmelCase      ):
		a				:       Optional[Any]							=       ["""torch""", """transformers""", """invisible_watermark"""]




		def __init__(					self       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(self       ,    ["torch", "transformers", "invisible_watermark"]   )




		@classmethod
		def      lowercase							(					cls       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(cls       ,    ["torch", "transformers", "invisible_watermark"]   )




		@classmethod
		def      lowercase							(					cls       ,    *UpperCamelCase       ,    **UpperCamelCase   ):
								requires_backends(cls       ,    ["torch", "transformers", "invisible_watermark"]   )