




"""simple docstring"""





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

from tokenizers import processors

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


if is_sentencepiece_available():
					from .tokenization_mbart import MBartTokenizer
else:
					A   =       None


A   =       logging.get_logger(__name__)


A   =       {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

A   =       {
    """vocab_file""": {
        """facebook/mbart-large-en-ro""": (
            """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"""
        ),
        """facebook/mbart-large-cc25""": (
            """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/mbart-large-en-ro""": """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json""",
        """facebook/mbart-large-cc25""": """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json""",
    },
}

A   =       {
    """facebook/mbart-large-en-ro""": 1_024,
    """facebook/mbart-large-cc25""": 1_024,
}

# fmt: off
A   =       ["""ar_AR""", """cs_CZ""", """de_DE""", """en_XX""", """es_XX""", """et_EE""", """fi_FI""", """fr_XX""", """gu_IN""", """hi_IN""", """it_IT""", """ja_XX""", """kk_KZ""", """ko_KR""", """lt_LT""", """lv_LV""", """my_MM""", """ne_NP""", """nl_XX""", """ro_RO""", """ru_RU""", """si_LK""", """tr_TR""", """vi_VN""", """zh_CN"""]



class      a__				(	__magic_name__   ):
			lowercase_    =	VOCAB_FILES_NAMES
			lowercase_    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowercase_    =	PRETRAINED_VOCAB_FILES_MAP
			lowercase_    =	["input_ids", "attention_mask"]
			lowercase_    =	MBartTokenizer

			lowercase_    =	[]
			lowercase_    =	[]


			def __init__(      self      :    int      ,  UpperCamelCase_      :    List[Any]=None      ,  UpperCamelCase_      :    List[str]=None      ,  UpperCamelCase_      :    Union[str, Any]="<s>"      ,  UpperCamelCase_      :    Union[str, Any]="</s>"      ,  UpperCamelCase_      :    str="</s>"      ,  UpperCamelCase_      :    Any="<s>"      ,  UpperCamelCase_      :    Any="<unk>"      ,  UpperCamelCase_      :    Any="<pad>"      ,  UpperCamelCase_      :    Any="<mask>"      ,  UpperCamelCase_      :    List[Any]=None      ,  UpperCamelCase_      :    Optional[int]=None      ,  UpperCamelCase_      :    List[str]=None      ,  **UpperCamelCase_      :    List[Any]      ,  ):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					AddedToken(UpperCamelCase_      ,  lstrip=UpperCamelCase_      ,  rstrip=UpperCamelCase_) if isinstance(UpperCamelCase_      ,  UpperCamelCase_) else mask_token

						super().__init__(
						    vocab_file=UpperCamelCase_      ,  tokenizer_file=UpperCamelCase_      ,  bos_token=UpperCamelCase_      ,  eos_token=UpperCamelCase_      ,  sep_token=UpperCamelCase_      ,  cls_token=UpperCamelCase_      ,  unk_token=UpperCamelCase_      ,  pad_token=UpperCamelCase_      ,  mask_token=UpperCamelCase_      ,  src_lang=UpperCamelCase_      ,  tgt_lang=UpperCamelCase_      ,  additional_special_tokens=UpperCamelCase_      ,  **UpperCamelCase_      ,  )

						__UpperCAmelCase	: Optional[Any]		=					vocab_file
						__UpperCAmelCase	: Dict		=					False if not self.vocab_file else True

						__UpperCAmelCase	: Union[str, Any]		=					FAIRSEQ_LANGUAGE_CODES.copy()

						if additional_special_tokens is not None:
									# Only add those special tokens if they are not already there.
									_additional_special_tokens.extend(
									    [t for t in additional_special_tokens if t not in _additional_special_tokens])

						self.add_special_tokens({"additional_special_tokens": _additional_special_tokens})
						__UpperCAmelCase	: List[str]		=					{
						    lang_code: self.convert_tokens_to_ids(UpperCamelCase_) for lang_code in FAIRSEQ_LANGUAGE_CODES
						}

						__UpperCAmelCase	: Tuple		=					src_lang if src_lang is not None else "en_XX"
						__UpperCAmelCase	: List[str]		=					self.convert_tokens_to_ids(self._src_lang)
						__UpperCAmelCase	: Any		=					tgt_lang
						self.set_src_lang_special_tokens(self._src_lang)


			@property
			def       a_     (      self      :    str):


						"""simple docstring"""




						return self._src_lang


			@src_lang.setter
			def       a_     (      self      :    Dict      ,  UpperCamelCase_      :    str):


						"""simple docstring"""




						__UpperCAmelCase	: List[Any]		=					new_src_lang
						self.set_src_lang_special_tokens(self._src_lang)


			def       a_     (      self      :    Dict      ,  UpperCamelCase_      :    List[int]      ,  UpperCamelCase_      :    Optional[List[int]] = None):


						"""simple docstring"""




						if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + self.suffix_tokens
						# We don't expect to process pairs, but leave the pair logic for API consistency
						return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    List[int]      ,  UpperCamelCase_      :    Optional[List[int]] = None):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					[self.sep_token_id]
						__UpperCAmelCase	: Optional[int]		=					[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 + sep + token_ids_a + sep) * [0]


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    Optional[Any]      ,  UpperCamelCase_      :    str      ,  UpperCamelCase_      :    Optional[str]      ,  UpperCamelCase_      :    Optional[str]      ,  **UpperCamelCase_      :    Optional[int]):


						"""simple docstring"""




						if src_lang is None or tgt_lang is None:
									raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model")
						__UpperCAmelCase	: Dict		=					src_lang
						__UpperCAmelCase	: int		=					self(UpperCamelCase_      ,  add_special_tokens=UpperCamelCase_      ,  return_tensors=UpperCamelCase_      ,  **UpperCamelCase_)
						__UpperCAmelCase	: Any		=					self.convert_tokens_to_ids(UpperCamelCase_)
						__UpperCAmelCase	: str		=					tgt_lang_id
						return inputs


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    List[str]      ,  UpperCamelCase_      :    str = "en_XX"      ,  UpperCamelCase_      :    Optional[List[str]] = None      ,  UpperCamelCase_      :    str = "ro_RO"      ,  **UpperCamelCase_      :    Union[str, Any]      ,  ):


						"""simple docstring"""




						__UpperCAmelCase	: Tuple		=					src_lang
						__UpperCAmelCase	: Optional[Any]		=					tgt_lang
						return super().prepare_seqaseq_batch(UpperCamelCase_      ,  UpperCamelCase_      ,  **UpperCamelCase_)


			def       a_     (      self      :    str):


						"""simple docstring"""




						return self.set_src_lang_special_tokens(self.src_lang)


			def       a_     (      self      :    int):


						"""simple docstring"""




						return self.set_tgt_lang_special_tokens(self.tgt_lang)


			def       a_     (      self      :    List[Any]      ,  UpperCamelCase_      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: Optional[int]		=					self.convert_tokens_to_ids(UpperCamelCase_)
						__UpperCAmelCase	: Dict		=					[]
						__UpperCAmelCase	: Optional[Any]		=					[self.eos_token_id, self.cur_lang_code]

						__UpperCAmelCase	: Dict		=					self.convert_ids_to_tokens(self.prefix_tokens)
						__UpperCAmelCase	: List[Any]		=					self.convert_ids_to_tokens(self.suffix_tokens)

						__UpperCAmelCase	: Tuple		=					processors.TemplateProcessing(
						    single=prefix_tokens_str + ["$A"] + suffix_tokens_str      ,  pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str      ,  special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str      ,  self.prefix_tokens + self.suffix_tokens))      ,  )


			def       a_     (      self      :    Optional[Any]      ,  UpperCamelCase_      :    str):


						"""simple docstring"""




						__UpperCAmelCase	: int		=					self.convert_tokens_to_ids(UpperCamelCase_)
						__UpperCAmelCase	: int		=					[]
						__UpperCAmelCase	: List[str]		=					[self.eos_token_id, self.cur_lang_code]

						__UpperCAmelCase	: List[Any]		=					self.convert_ids_to_tokens(self.prefix_tokens)
						__UpperCAmelCase	: int		=					self.convert_ids_to_tokens(self.suffix_tokens)

						__UpperCAmelCase	: Optional[Any]		=					processors.TemplateProcessing(
						    single=prefix_tokens_str + ["$A"] + suffix_tokens_str      ,  pair=prefix_tokens_str + ["$A", "$B"] + suffix_tokens_str      ,  special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str      ,  self.prefix_tokens + self.suffix_tokens))      ,  )


			def       a_     (      self      :    Optional[int]      ,  UpperCamelCase_      :    str      ,  UpperCamelCase_      :    Optional[str] = None):


						"""simple docstring"""




						if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer.")

						if not os.path.isdir(UpperCamelCase_):
									logger.error(F"Vocabulary path ({save_directory}) should be a directory.")
									return
						__UpperCAmelCase	: int		=					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_):
									copyfile(self.vocab_file      ,  UpperCamelCase_)

						return (out_vocab_file,)








"""simple docstring"""





from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: List[str]		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Any		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: Tuple		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Optional[Any]		=					(1 - _cos) / 2
			__UpperCAmelCase	: Any		=					1 - _cos

			__UpperCAmelCase	: List[str]		=					1 + alpha
			__UpperCAmelCase	: List[Any]		=					-2 * _cos
			__UpperCAmelCase	: Dict		=					1 - alpha

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: int		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[Any]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Dict		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: Tuple		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Dict		=					(1 + _cos) / 2
			__UpperCAmelCase	: Tuple		=					-1 - _cos

			__UpperCAmelCase	: Any		=					1 + alpha
			__UpperCAmelCase	: int		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha

			__UpperCAmelCase	: Union[str, Any]		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Tuple		=					tau * frequency / samplerate
			__UpperCAmelCase	: Tuple		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: List[str]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[Any]		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Any		=					_sin / 2
			__UpperCAmelCase	: Optional[int]		=					0
			__UpperCAmelCase	: int		=					-ba

			__UpperCAmelCase	: Dict		=					1 + alpha
			__UpperCAmelCase	: List[str]		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha

			__UpperCAmelCase	: int		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)							)			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: str		=					tau * frequency / samplerate
			__UpperCAmelCase	: List[Any]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Any		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[str]		=					_sin / (2 * q_factor)

			__UpperCAmelCase	: Optional[Any]		=					1 - alpha
			__UpperCAmelCase	: Tuple		=					-2 * _cos
			__UpperCAmelCase	: List[Any]		=					1 + alpha

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([ba, ba, ba]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Dict		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: List[Any]		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: List[Any]		=					10 ** (gain_db / 40)

			__UpperCAmelCase	: List[str]		=					1 + alpha * big_a
			__UpperCAmelCase	: Optional[Any]		=					-2 * _cos
			__UpperCAmelCase	: int		=					1 - alpha * big_a
			__UpperCAmelCase	: Optional[int]		=					1 + alpha / big_a
			__UpperCAmelCase	: Union[str, Any]		=					-2 * _cos
			__UpperCAmelCase	: Dict		=					1 - alpha / big_a

			__UpperCAmelCase	: Dict		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: str		=					tau * frequency / samplerate
			__UpperCAmelCase	: int		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Optional[Any]		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: str		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: str		=					10 ** (gain_db / 40)
			__UpperCAmelCase	: Union[str, Any]		=					(big_a + 1) - (big_a - 1) * _cos
			__UpperCAmelCase	: Optional[int]		=					(big_a + 1) + (big_a - 1) * _cos
			__UpperCAmelCase	: List[str]		=					(big_a - 1) - (big_a + 1) * _cos
			__UpperCAmelCase	: List[Any]		=					(big_a - 1) + (big_a + 1) * _cos
			__UpperCAmelCase	: Optional[Any]		=					2 * sqrt(UpperCamelCase							) * alpha

			__UpperCAmelCase	: Tuple		=					big_a * (pmc + aaa)
			__UpperCAmelCase	: Union[str, Any]		=					2 * big_a * mpc
			__UpperCAmelCase	: Optional[int]		=					big_a * (pmc - aaa)
			__UpperCAmelCase	: Any		=					ppmc + aaa
			__UpperCAmelCase	: Dict		=					-2 * pmpc
			__UpperCAmelCase	: Any		=					ppmc - aaa

			__UpperCAmelCase	: str		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt





def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase = 1 / sqrt(2							)				,       )			->			IIRFilter:


			"""simple docstring"""
			__UpperCAmelCase	: Dict		=					tau * frequency / samplerate
			__UpperCAmelCase	: Optional[int]		=					sin(UpperCamelCase							)
			__UpperCAmelCase	: Dict		=					cos(UpperCamelCase							)
			__UpperCAmelCase	: str		=					_sin / (2 * q_factor)
			__UpperCAmelCase	: int		=					10 ** (gain_db / 40)
			__UpperCAmelCase	: Optional[Any]		=					(big_a + 1) - (big_a - 1) * _cos
			__UpperCAmelCase	: Optional[int]		=					(big_a + 1) + (big_a - 1) * _cos
			__UpperCAmelCase	: Union[str, Any]		=					(big_a - 1) - (big_a + 1) * _cos
			__UpperCAmelCase	: Tuple		=					(big_a - 1) + (big_a + 1) * _cos
			__UpperCAmelCase	: Optional[Any]		=					2 * sqrt(UpperCamelCase							) * alpha

			__UpperCAmelCase	: Tuple		=					big_a * (ppmc + aaa)
			__UpperCAmelCase	: Any		=					-2 * big_a * pmpc
			__UpperCAmelCase	: int		=					big_a * (ppmc - aaa)
			__UpperCAmelCase	: int		=					pmc + aaa
			__UpperCAmelCase	: Tuple		=					2 * mpc
			__UpperCAmelCase	: Union[str, Any]		=					pmc - aaa

			__UpperCAmelCase	: Any		=					IIRFilter(2							)
			filt.set_coefficients([aa, aa, aa]				,       [ba, ba, ba]							)
			return filt


