


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_mbartaa import MBartaaTokenizer
else:
  UpperCAmelCase__     			=							None


UpperCAmelCase__     			=							logging.get_logger(__name__)

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

UpperCAmelCase__     			=							{
    '''vocab_file''': {
        '''facebook/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase__     			=							{
    '''facebook/mbart-large-50-one-to-many-mmt''': 1024,
}

# fmt: off
UpperCAmelCase__     			=							['''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''', '''af_ZA''', '''az_AZ''', '''bn_IN''', '''fa_IR''', '''he_IL''', '''hr_HR''', '''id_ID''', '''ka_GE''', '''km_KH''', '''mk_MK''', '''ml_IN''', '''mn_MN''', '''mr_IN''', '''pl_PL''', '''ps_AF''', '''pt_XX''', '''sv_SE''', '''sw_KE''', '''ta_IN''', '''te_IN''', '''th_TH''', '''tl_XX''', '''uk_UA''', '''ur_PK''', '''xh_ZA''', '''gl_ES''', '''sl_SI''']







class    lowerCamelCase__     ( lowercase__):
     SCREAMING_SNAKE_CASE__       =    VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE__       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE__       =    PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE__       =    ["""input_ids""", """attention_mask"""]
     SCREAMING_SNAKE_CASE__       =    MBartaaTokenizer

     SCREAMING_SNAKE_CASE__       =    []
     SCREAMING_SNAKE_CASE__       =    []





     def __init__(self	,  UpperCAmelCase=None	,  UpperCAmelCase=None	,  UpperCAmelCase=None	,  UpperCAmelCase=None	,  UpperCAmelCase="</s>"	,  UpperCAmelCase="</s>"	,  UpperCAmelCase="<s>"	,  UpperCAmelCase="<unk>"	,  UpperCAmelCase="<pad>"	,  UpperCAmelCase="<mask>"	,  **UpperCAmelCase	,  )  ->     Dict:
      # Mask token behave like a normal word, i.e. include the space before it
      _lowercase							   =AddedToken(_A	,  lstrip=_A	,  rstrip=_A ) if isinstance(_A	,  _A ) else mask_token

      _lowercase							   =kwargs.get('''additional_special_tokens'''	,  [] )
      kwargs["additional_special_tokens"] += [
          code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
      ]

      super().__init__(
          _A	,  src_lang=_A	,  tgt_lang=_A	,  tokenizer_file=_A	,  eos_token=_A	,  sep_token=_A	,  cls_token=_A	,  unk_token=_A	,  pad_token=_A	,  mask_token=_A	,  **_A	,  )

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

      _lowercase							   ={
          lang_code: self.convert_tokens_to_ids(_A ) for lang_code in FAIRSEQ_LANGUAGE_CODES
      }

      _lowercase							   =src_lang if src_lang is not None else 'en_XX'
      _lowercase							   =tgt_lang
      _lowercase							   =self.lang_code_to_id[self._src_lang]
      self.set_src_lang_special_tokens(self._src_lang )





     @property
     def   __A      (self )  ->     str:
      return self._src_lang





     @src_lang.setter
     def   __A      (self	,  UpperCAmelCase )  ->     None:
      _lowercase							   =new_src_lang
      self.set_src_lang_special_tokens(self._src_lang )





     def   __A      (self	,  UpperCAmelCase	,  UpperCAmelCase = None )  ->     List[int]:
      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	,  UpperCAmelCase	,  UpperCAmelCase = "en_XX"	,  UpperCAmelCase = None	,  UpperCAmelCase = "ro_RO"	,  **UpperCAmelCase	,  )  ->     BatchEncoding:
      _lowercase							   =src_lang
      _lowercase							   =tgt_lang
      return super().prepare_seqaseq_batch(_A	,  _A	,  **_A )





     def   __A      (self )  ->     List[str]:
      return self.set_src_lang_special_tokens(self.src_lang )





     def   __A      (self )  ->     Dict:
      return self.set_tgt_lang_special_tokens(self.tgt_lang )





     def   __A      (self	,  UpperCAmelCase )  ->     None:
      _lowercase							   =self.convert_tokens_to_ids(_A )
      _lowercase							   =[self.cur_lang_code_id]
      _lowercase							   =[self.eos_token_id]

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

      _lowercase							   =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	,  UpperCAmelCase )  ->     None:
      _lowercase							   =self.convert_tokens_to_ids(_A )
      _lowercase							   =[self.cur_lang_code_id]
      _lowercase							   =[self.eos_token_id]

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

      _lowercase							   =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	,  UpperCAmelCase	,  UpperCAmelCase	,  UpperCAmelCase	,  UpperCAmelCase	,  **UpperCAmelCase )  ->     Tuple:
      if src_lang is None or tgt_lang is None:
       raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model''' )
      _lowercase							   =src_lang
      _lowercase							   =self(_A	,  add_special_tokens=_A	,  return_tensors=_A	,  **_A )
      _lowercase							   =self.convert_tokens_to_ids(_A )
      _lowercase							   =tgt_lang_id
      return inputs





     def   __A      (self	,  UpperCAmelCase	,  UpperCAmelCase = None )  ->     Tuple[str]:
      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(_A ):
       logger.error(f"Vocabulary path ({save_directory}) should be a directory" )
       return
      _lowercase							   =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,)










UpperCAmelCase__     			=							[0.33, 0.44, 0.55, 0.44, 0.33]
UpperCAmelCase__     			=							3
UpperCAmelCase__     			=							5

# Buffer Space (with Parameters Space)
UpperCAmelCase__     			=							[]
UpperCAmelCase__     			=							[]

# Machine Time
UpperCAmelCase__     			=							0
def        UpperCAmelCase_      (							__snake_case		)  ->    Tuple:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

 # Choosing Dynamical Systems (All)
 for key, value in enumerate(__snake_case		):
  # Evolution Parameter
  _lowercase							   =float(seed / value		)

  # Control Theory: Orbit Change
  _lowercase							   =(buffer_space[(key + 1) % m] + e) % 1

  # Control Theory: Trajectory Change
  _lowercase							   =(params_space[key] + e) % 1 + 3

  # Modification (Transition Function) - Jumps
  _lowercase							   =round(float(r * value * (1 - value)		)  ,		10		)
  _lowercase							   =r  # Saving to Parameters Space

 # Logistic Map
 assert max(__snake_case		) < 1
 assert max(__snake_case		) < 4

 # Machine Time
 machine_time += 1
def        UpperCAmelCase_      (							)  ->    Union[str, Any]:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

 # PRNG (Xorshift by George Marsaglia)
 def xorshift(__snake_case  ,		__snake_case		):
  x ^= y >> 13
  y ^= x << 17
  x ^= y >> 5
  return x

 # Choosing Dynamical Systems (Increment)
 _lowercase							   =machine_time % m

 # Evolution (Time Length)
 for _ in range(0  ,		__snake_case		):
  # Variables (Position + Parameters)
  _lowercase							   =params_space[key]
  _lowercase							   =buffer_space[key]

  # Modification (Transition Function) - Flow
  _lowercase							   =round(float(r * value * (1 - value)		)  ,		10		)
  _lowercase							   =(machine_time * 0.01 + r * 1.01) % 1 + 3

 # Choosing Chaotic Data
 _lowercase							   =int(buffer_space[(key + 2) % m] * (10**10)		)
 _lowercase							   =int(buffer_space[(key - 2) % m] * (10**10)		)

 # Machine Time
 machine_time += 1

 return xorshift(__snake_case  ,		__snake_case		) % 0XF_F_F_F_F_F_F_F
def        UpperCAmelCase_      (							)  ->    int:







 """simple docstring"""


 global buffer_space, params_space, machine_time, K, m, t

 _lowercase							   =K
 _lowercase							   =[0] * m
 _lowercase							   =0


if __name__ == "__main__":
  # Initialization
  reset()

  # Pushing Data (Input)
  import random

  UpperCAmelCase__     			=							random.sample(range(0xffff_ffff), 100)
  for chunk in message:
    push(chunk)

  # for controlling
  UpperCAmelCase__     			=							''''''

  # Pulling Data (Output)
  while inp in ("e", "E"):
    print(f'''{format(pull(), '#04x')}''')
    print(buffer_space)
    print(params_space)
    UpperCAmelCase__     			=							input('''(e)exit? ''').strip()

