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:
						lowerCAmelCase__  	=      None


lowerCAmelCase__  	=      logging.get_logger(__name__)

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

lowerCAmelCase__  	=      {
    "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"
        ),
    },
}

lowerCAmelCase__  	=      {
    "facebook/mbart-large-50-one-to-many-mmt": 1_0_2_4,
}

# 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", "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 	_a  (							lowerCamelCase_					):



	"""simple docstring"""



	__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       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_=None       ,  lowerCAmelCase_="</s>"       ,  lowerCAmelCase_="</s>"       ,  lowerCAmelCase_="<s>"       ,  lowerCAmelCase_="<unk>"       ,  lowerCAmelCase_="<pad>"       ,  lowerCAmelCase_="<mask>"       ,  **lowerCAmelCase_       ,  ):
		# Mask token behave like a normal word, i.e. include the space before it
		_lowercase   =AddedToken(lowerCAmelCase_       ,  lstrip=lowerCAmelCase_       ,  rstrip=lowerCAmelCase_       ) if isinstance(lowerCAmelCase_       ,  lowerCAmelCase_       ) 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__(
		    lowerCAmelCase_       ,  src_lang=lowerCAmelCase_       ,  tgt_lang=lowerCAmelCase_       ,  tokenizer_file=lowerCAmelCase_       ,  eos_token=lowerCAmelCase_       ,  sep_token=lowerCAmelCase_       ,  cls_token=lowerCAmelCase_       ,  unk_token=lowerCAmelCase_       ,  pad_token=lowerCAmelCase_       ,  mask_token=lowerCAmelCase_       ,  **lowerCAmelCase_       ,  )

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

		_lowercase   ={
		    lang_code: self.convert_tokens_to_ids(lowerCAmelCase_       ) 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 __lowerCAmelCase      (   self       ):
		return self._src_lang


	@src_lang.setter
	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =new_src_lang
		self.set_src_lang_special_tokens(self._src_lang       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		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 __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = "en_XX"       ,  lowerCAmelCase_ = None       ,  lowerCAmelCase_ = "ro_RO"       ,  **lowerCAmelCase_       ,  ):
		_lowercase   =src_lang
		_lowercase   =tgt_lang
		return super().prepare_seqaseq_batch(lowerCAmelCase_       ,  lowerCAmelCase_       ,  **lowerCAmelCase_       )


	def __lowerCAmelCase      (   self       ):
		return self.set_src_lang_special_tokens(self.src_lang       )


	def __lowerCAmelCase      (   self       ):
		return self.set_tgt_lang_special_tokens(self.tgt_lang       )


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =self.convert_tokens_to_ids(lowerCAmelCase_       )
		_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 __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ):
		_lowercase   =self.convert_tokens_to_ids(lowerCAmelCase_       )
		_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 __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  lowerCAmelCase_       ,  **lowerCAmelCase_       ):
		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(lowerCAmelCase_       ,  add_special_tokens=lowerCAmelCase_       ,  return_tensors=lowerCAmelCase_       ,  **lowerCAmelCase_       )
		_lowercase   =self.convert_tokens_to_ids(lowerCAmelCase_       )
		_lowercase   =tgt_lang_id
		return inputs


	def __lowerCAmelCase      (   self       ,  lowerCAmelCase_       ,  lowerCAmelCase_ = None       ):
		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
		_lowercase   =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,)





def 	__lowerCamelCase							(				__a    : float		)      ->       float:
	return -num if num < 0 else num

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_min() arg is an empty sequence"		)
	_lowercase   =x[0]
	for i in x:
		if abs_val(__a		) < abs_val(__a		):
			_lowercase   =i
	return j

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_max() arg is an empty sequence"		)
	_lowercase   =x[0]
	for i in x:
		if abs(__a		) > abs(__a		):
			_lowercase   =i
	return j

def 	__lowerCamelCase							(				__a    : list[int]		)      ->       int:
	if len(__a		) == 0:
		raise ValueError("abs_max_sort() arg is an empty sequence"		)
	return sorted(__a      ,							key=__a		)[-1]

def 	__lowerCamelCase							(				)      ->       Optional[Any]:
	assert abs_val(0		) == 0
	assert abs_val(34		) == 34
	assert abs_val(-100_000_000_000		) == 100_000_000_000

	_lowercase   =[-3, -1, 2, -11]
	assert abs_max(__a		) == -11
	assert abs_max_sort(__a		) == -11
	assert abs_min(__a		) == -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						test_abs_val()
						print(abs_val(-3_4))  # --> 34




