





'''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:
   lowercase__						:      str	=    None


lowercase__						:      List[Any]	=    logging.get_logger(__name__)


lowercase__						:      int	=    {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowercase__						:      Union[str, Any]	=    {
    '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',
    },
}

lowercase__						:      Union[str, Any]	=    {
    'facebook/mbart-large-en-ro': 10_24,
    'facebook/mbart-large-cc25': 10_24,
}

# fmt: off
lowercase__						:      Dict	=    ['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     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					Any						    =   VOCAB_FILES_NAMES
       _snake_case     :					int						    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case     :					Union[str, Any]						    =   PRETRAINED_VOCAB_FILES_MAP
       _snake_case     :					Any						    =   ['input_ids', 'attention_mask']
       _snake_case     :					str						    =   MBartTokenizer

       _snake_case     :					List[int]						    =   []
       _snake_case     :					List[int]						    =   []





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

            '''simple docstring'''




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

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

            _UpperCamelCase       =	vocab_file
            _UpperCamelCase       =	False if not self.vocab_file else True

            _UpperCamelCase       =	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       =	{
                lang_code: self.convert_tokens_to_ids(lowerCAmelCase__					) for lang_code in FAIRSEQ_LANGUAGE_CODES
            }

            _UpperCamelCase       =	src_lang if src_lang is not None else '''en_XX'''
            _UpperCamelCase       =	self.convert_tokens_to_ids(self._src_lang					)
            _UpperCamelCase       =	tgt_lang
            self.set_src_lang_special_tokens(self._src_lang					)





       @property
       def snake_case__						(							self       :		int					)   ->					str:

            '''simple docstring'''




            return self._src_lang





       @src_lang.setter
       def snake_case__						(							self       :		Optional[int]	,			lowerCAmelCase__       :		str					)   ->					None:

            '''simple docstring'''




            _UpperCamelCase       =	new_src_lang
            self.set_src_lang_special_tokens(self._src_lang					)





       def snake_case__						(							self       :		Union[str, Any]	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None					)   ->					List[int]:

            '''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 snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None					)   ->					List[int]:

            '''simple docstring'''




            _UpperCamelCase       =	[self.sep_token_id]
            _UpperCamelCase       =	[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 snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		Union[str, Any]	,			lowerCAmelCase__       :		str	,			lowerCAmelCase__       :		Optional[str]	,			lowerCAmelCase__       :		Optional[str]	,			**lowerCAmelCase__       :		List[str]					)   ->					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       =	src_lang
            _UpperCamelCase       =	self(lowerCAmelCase__	,			add_special_tokens=lowerCAmelCase__	,			return_tensors=lowerCAmelCase__	,			**lowerCAmelCase__					)
            _UpperCamelCase       =	self.convert_tokens_to_ids(lowerCAmelCase__					)
            _UpperCamelCase       =	tgt_lang_id
            return inputs





       def snake_case__						(							self       :		str	,			lowerCAmelCase__       :		List[str]	,			lowerCAmelCase__       :		str = "en_XX"	,			lowerCAmelCase__       :		Optional[List[str]] = None	,			lowerCAmelCase__       :		str = "ro_RO"	,			**lowerCAmelCase__       :		Tuple	,			)   ->					BatchEncoding:

            '''simple docstring'''




            _UpperCamelCase       =	src_lang
            _UpperCamelCase       =	tgt_lang
            return super().prepare_seqaseq_batch(lowerCAmelCase__	,			lowerCAmelCase__	,			**lowerCAmelCase__					)





       def snake_case__						(							self       :		str					)   ->					Optional[Any]:

            '''simple docstring'''




            return self.set_src_lang_special_tokens(self.src_lang					)





       def snake_case__						(							self       :		int					)   ->					str:

            '''simple docstring'''




            return self.set_tgt_lang_special_tokens(self.tgt_lang					)





       def snake_case__						(							self       :		Dict	,			lowerCAmelCase__       :		Union[str, Any]					)   ->					None:

            '''simple docstring'''




            _UpperCamelCase       =	self.convert_tokens_to_ids(lowerCAmelCase__					)
            _UpperCamelCase       =	[]
            _UpperCamelCase       =	[self.eos_token_id, self.cur_lang_code]

            _UpperCamelCase       =	self.convert_ids_to_tokens(self.prefix_tokens					)
            _UpperCamelCase       =	self.convert_ids_to_tokens(self.suffix_tokens					)

            _UpperCamelCase       =	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 snake_case__						(							self       :		Optional[Any]	,			lowerCAmelCase__       :		str					)   ->					None:

            '''simple docstring'''




            _UpperCamelCase       =	self.convert_tokens_to_ids(lowerCAmelCase__					)
            _UpperCamelCase       =	[]
            _UpperCamelCase       =	[self.eos_token_id, self.cur_lang_code]

            _UpperCamelCase       =	self.convert_ids_to_tokens(self.prefix_tokens					)
            _UpperCamelCase       =	self.convert_ids_to_tokens(self.suffix_tokens					)

            _UpperCamelCase       =	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 snake_case__						(							self       :		str	,			lowerCAmelCase__       :		str	,			lowerCAmelCase__       :		Optional[str] = None					)   ->					Tuple[str]:

            '''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(lowerCAmelCase__					):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory."""					)
                 return
            _UpperCamelCase       =	os.path.join(
                lowerCAmelCase__	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

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

            return (out_vocab_file,)










'''simple docstring'''

import math







def  a__    (    lowercase :					float, lowercase :					float				)		->		float:





     """simple docstring"""

     if initial_intensity < 0:
          raise ValueError('''The value of intensity cannot be negative'''				)
          # handling of negative values of initial intensity
     if angle < 0 or angle > 360:
          raise ValueError('''In Malus Law, the angle is in the range 0-360 degrees'''				)
          # handling of values out of allowed range
     return initial_intensity * (math.cos(math.radians(lowercase				)				) ** 2)


if __name__ == "__main__":
   import doctest

   doctest.testmod(name='malus_law')



