





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:
	_lowerCamelCase 					=      None


_lowerCamelCase 					=      logging.get_logger(__name__)


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

_lowerCamelCase 					=      {
    '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',
    },
}

_lowerCamelCase 					=      {
    'facebook/mbart-large-en-ro': 1024,
    'facebook/mbart-large-cc25': 1024,
}

# fmt: off
_lowerCamelCase 					=      ['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 	UpperCamelCase_							(  UpperCamelCase__     ):
							lowerCamelCase_							     =       VOCAB_FILES_NAMES
							lowerCamelCase_							     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase_							     =       PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase_							     =       ["input_ids", "attention_mask"]
							lowerCamelCase_							     =       MBartTokenizer

							lowerCamelCase_							     =       []
							lowerCamelCase_							     =       []


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



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else mask_token

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

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

									SCREAMING_SNAKE_CASE__								=   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}		)
									SCREAMING_SNAKE_CASE__								=   {
									    lang_code: self.convert_tokens_to_ids(__A		) for lang_code in FAIRSEQ_LANGUAGE_CODES
									}

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


							@property
							def   _snake_case	(				self     :Union[str, Any]		) -> str:



									"""simple docstring"""



									return self._src_lang


							@src_lang.setter
							def   _snake_case	(				self     :Tuple				,					__A     :str		) -> None:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   new_src_lang
									self.set_src_lang_special_tokens(self._src_lang		)


							def   _snake_case	(				self     :Any				,					__A     :List[int]				,					__A     :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     :Any				,					__A     :List[int]				,					__A     :Optional[List[int]] = None		) -> List[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   [self.sep_token_id]
									SCREAMING_SNAKE_CASE__								=   [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     :List[str]				,					__A     :Dict				,					__A     :str				,					__A     :Optional[str]				,					__A     :Optional[str]				,					**__A     :int		) -> Dict:



									"""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"""		)
									SCREAMING_SNAKE_CASE__								=   src_lang
									SCREAMING_SNAKE_CASE__								=   self(__A				,					add_special_tokens=__A				,					return_tensors=__A				,					**__A		)
									SCREAMING_SNAKE_CASE__								=   self.convert_tokens_to_ids(__A		)
									SCREAMING_SNAKE_CASE__								=   tgt_lang_id
									return inputs


							def   _snake_case	(				self     :Optional[int]				,					__A     :List[str]				,					__A     :str = "en_XX"				,					__A     :Optional[List[str]] = None				,					__A     :str = "ro_RO"				,					**__A     :Optional[int]				,					) -> BatchEncoding:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   src_lang
									SCREAMING_SNAKE_CASE__								=   tgt_lang
									return super().prepare_seqaseq_batch(__A				,					__A				,					**__A		)


							def   _snake_case	(				self     :List[str]		) -> Union[str, Any]:



									"""simple docstring"""



									return self.set_src_lang_special_tokens(self.src_lang		)


							def   _snake_case	(				self     :Optional[int]		) -> List[Any]:



									"""simple docstring"""



									return self.set_tgt_lang_special_tokens(self.tgt_lang		)


							def   _snake_case	(				self     :Any				,					__A     :Tuple		) -> None:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   self.convert_tokens_to_ids(__A		)
									SCREAMING_SNAKE_CASE__								=   []
									SCREAMING_SNAKE_CASE__								=   [self.eos_token_id, self.cur_lang_code]

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

									SCREAMING_SNAKE_CASE__								=   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     :Any				,					__A     :str		) -> None:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   self.convert_tokens_to_ids(__A		)
									SCREAMING_SNAKE_CASE__								=   []
									SCREAMING_SNAKE_CASE__								=   [self.eos_token_id, self.cur_lang_code]

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

									SCREAMING_SNAKE_CASE__								=   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				,					__A     :str				,					__A     :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(__A		):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''		)
											return
									SCREAMING_SNAKE_CASE__								=   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,)

# Function to print upper half of diamond (pyramid)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(0		,    __magic_name__						):
								for _ in range(0		,    n - i - 1						):  # printing spaces
												print(" "		,    end=""						)
								for _ in range(0		,    i + 1						):  # printing stars
												print("* "		,    end=""						)
								print()

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(__magic_name__		,    0		,    -1						):
								for _ in range(__magic_name__		,    0		,    -1						):  # printing stars
												print("* "		,    end=""						)
								print()
								for _ in range(n - i + 1		,    0		,    -1						):  # printing spaces
												print(" "		,    end=""						)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				if n <= 0:
								print("       ...       ....        nothing printing :("						)
								return
				floyd(__magic_name__						)  # upper half
				reverse_floyd(__magic_name__						)  # lower half


if __name__ == "__main__":
						print(r"| /\ | |- |  |-  |--| |\  /| |-")
						print(r"|/  \| |- |_ |_  |__| | \/ | |_")
						_snake_case      :							Union[str, Any]     	=    1
						while K:
												_snake_case      :							Dict     	=    int(input("enter the number and , and see the magic : "))
												print()
												pretty_print(user_number)
												_snake_case      :							Tuple     	=    int(input("press 0 to exit... and 1 to continue..."))

						print("Good Bye...")
