





'''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:
  __lowerCAmelCase							:	List[str]			=None

__lowerCAmelCase							:	int			=logging.get_logger(__name__)
__lowerCAmelCase							:	Tuple			={"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__lowerCAmelCase							:	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",
    },
    "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							:	int			={
    "google/fnet-base": 512,
    "google/fnet-large": 512,
}

__lowerCAmelCase							:	Optional[Any]			="▁"






class    UpperCAmelCase	(       UpperCamelCase__				):
 __lowercase   		=				VOCAB_FILES_NAMES
 __lowercase   		=				PRETRAINED_VOCAB_FILES_MAP
 __lowercase   		=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase   		=				["""input_ids""", """token_type_ids"""]
 __lowercase   		=				FNetTokenizer
 def __init__(				self      :Optional[int]						,       lowercase_      :int=None						,       lowercase_      :Tuple=None						,       lowercase_      :List[Any]=False						,       lowercase_      :Optional[Any]=True						,       lowercase_      :List[Any]=True						,       lowercase_      :str="<unk>"						,       lowercase_      :str="[SEP]"						,       lowercase_      :Union[str, Any]="<pad>"						,       lowercase_      :int="[CLS]"						,       lowercase_      :Any="[MASK]"						,       **lowercase_      :Tuple						,       )->							List[Any]:
     # 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.
     A__				=			(
         AddedToken(lowercase_						,       lstrip=lowercase_						,       rstrip=lowercase_						,       normalized=lowercase_							)
         if isinstance(lowercase_						,       lowercase_							)
         else mask_token
     )

     super().__init__(
         lowercase_						,       tokenizer_file=lowercase_						,       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_						,       **lowercase_						,       )

     A__				=			do_lower_case
     A__				=			remove_space
     A__				=			keep_accents
     A__				=			vocab_file
     A__				=			False if not self.vocab_file else True
 def      UpperCAmelCase_							(				self      :Optional[Any]						,       lowercase_      :List[int]						,       lowercase_      :Optional[List[int]] = None							)->							List[int]:
     A__				=			[self.sep_token_id]
     A__				=			[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      UpperCAmelCase_							(				self      :Optional[Any]						,       lowercase_      :List[int]						,       lowercase_      :Optional[List[int]] = None							)->							List[int]:
     A__				=			[self.sep_token_id]
     A__				=			[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      UpperCAmelCase_							(				self      :Any						,       lowercase_      :str						,       lowercase_      :Optional[str] = None							)->							Tuple[str]:
     if not os.path.isdir(lowercase_							):
         logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
         return
     A__				=			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_							):
         copyfile(self.vocab_file						,       lowercase_							)

     return (out_vocab_file,)










'''simple docstring'''

from __future__ import annotations






class    UpperCAmelCase	:
 def __init__(				self      :Optional[int]						,       lowercase_      :int							)->							None:
     A__				=			order

     # a_{0} ... a_{k}
     A__				=			[1.0] + [0.0] * order
     # b_{0} ... b_{k}
     A__				=			[1.0] + [0.0] * order

     # x[n-1] ... x[n-k]
     A__				=			[0.0] * self.order
     # y[n-1] ... y[n-k]
     A__				=			[0.0] * self.order
 def      UpperCAmelCase_							(				self      :List[str]						,       lowercase_      :list[float]						,       lowercase_      :list[float]							)->							None:
     if len(lowercase_							) < self.order:
         A__				=			[1.0, *a_coeffs]

     if len(lowercase_							) != self.order + 1:
         A__				=			(
             F"Expected a_coeffs to have {self.order + 1} elements "
             F"for {self.order}-order filter, got {len(lowercase_							)}"
         )
         raise ValueError(lowercase_							)

     if len(lowercase_							) != self.order + 1:
         A__				=			(
             F"Expected b_coeffs to have {self.order + 1} elements "
             F"for {self.order}-order filter, got {len(lowercase_							)}"
         )
         raise ValueError(lowercase_							)

     A__				=			a_coeffs
     A__				=			b_coeffs



 def      UpperCAmelCase_							(				self      :Optional[int]						,       lowercase_      :float							)->							float:
     A__				=			0.0

     # Start at index 1 and do index 0 at the end.
     for i in range(1						,       self.order + 1							):
         result += (
             self.b_coeffs[i] * self.input_history[i - 1]
             - self.a_coeffs[i] * self.output_history[i - 1]
         )

     A__				=			(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

     A__				=			self.input_history[:-1]
     A__				=			self.output_history[:-1]

     A__				=			sample
     A__				=			result

     return result



