"""simple docstring"""







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:
	_a  :  List[str]=				None

_a  :  Optional[Any]=				logging.get_logger(__name__)
_a  :  Tuple=				{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_a  :  Optional[int]=				{
    "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",
    },
}

_a  :  Tuple=				{
    "google/fnet-base": 512,
    "google/fnet-large": 512,
}

_a  :  Optional[int]=				"▁"

class 	UpperCamelCase    (					lowercase		):
				UpperCAmelCase       :   Dict					=	VOCAB_FILES_NAMES
				UpperCAmelCase       :   int					=	PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase       :   Union[str, Any]					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase       :   Any					=	["""input_ids""", """token_type_ids"""]
				UpperCAmelCase       :   List[Any]					=	FNetTokenizer



				def __init__(self       :   int			,						_A       :   Optional[Any]=None			,						_A       :   Optional[int]=None			,						_A       :   Optional[Any]=False			,						_A       :   Optional[Any]=True			,						_A       :   Optional[int]=True			,						_A       :   List[Any]="<unk>"			,						_A       :   Tuple="[SEP]"			,						_A       :   Tuple="<pad>"			,						_A       :   Union[str, Any]="[CLS]"			,						_A       :   List[Any]="[MASK]"			,						**_A       :   Optional[Any]			,						)					->			Dict:
					# 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.
					__snake_case    :							int   	=				(
					    AddedToken(_A			,						lstrip=_A			,						rstrip=_A			,						normalized=_A)
					    if isinstance(_A			,						_A)
					    else mask_token
					)

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

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



				def       _lowercase  (self       :   List[str]			,						_A       :   List[int]			,						_A       :   Optional[List[int]] = None)					->			List[int]:
					__snake_case    :							Tuple   	=				[self.sep_token_id]
					__snake_case    :							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       _lowercase  (self       :   List[str]			,						_A       :   List[int]			,						_A       :   Optional[List[int]] = None)					->			List[int]:
					__snake_case    :							str   	=				[self.sep_token_id]
					__snake_case    :							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       _lowercase  (self       :   Optional[int]			,						_A       :   str			,						_A       :   Optional[str] = None)					->			Tuple[str]:
					if not os.path.isdir(_A):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory")
						return
					__snake_case    :							Optional[Any]   	=				os.path.join(
					    _A			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

					return (out_vocab_file,)






"""simple docstring"""







import numpy as np
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       np.array						)							->    np.array:

	'''simple docstring'''





	return 1 / (1 + np.exp(-vector						))


if __name__ == "__main__":
	import doctest

	doctest.testmod()





