
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:
	UpperCAmelCase	      = None


UpperCAmelCase	      = logging.get_logger(__name__)


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

UpperCAmelCase	      = {
    "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",
    },
}

UpperCAmelCase	      = {
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 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"]







class        A_   (			UpperCAmelCase__   ):




	'''simple docstring'''


	_UpperCamelCase     :     Dict							 =       VOCAB_FILES_NAMES
	_UpperCamelCase     :     List[str]							 =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCamelCase     :     str							 =       PRETRAINED_VOCAB_FILES_MAP
	_UpperCamelCase     :     Union[str, Any]							 =       ["""input_ids""", """attention_mask"""]
	_UpperCamelCase     :     Optional[Any]							 =       MBartTokenizer

	_UpperCamelCase     :     List[Any]							 =       []
	_UpperCamelCase     :     int							 =       []





	def __init__(       self		,    snake_case=None		,    snake_case=None		,    snake_case="<s>"		,    snake_case="</s>"		,    snake_case="</s>"		,    snake_case="<s>"		,    snake_case="<unk>"		,    snake_case="<pad>"		,    snake_case="<mask>"		,    snake_case=None		,    snake_case=None		,    snake_case=None		,    **snake_case		,    ):
		lowercase       =    AddedToken(__lowercase		,    lstrip=__lowercase		,    rstrip=__lowercase       ) if isinstance(__lowercase		,    __lowercase       ) else mask_token

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

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

		lowercase       =    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}       )
		lowercase       =    {
		    lang_code: self.convert_tokens_to_ids(__lowercase       ) for lang_code in FAIRSEQ_LANGUAGE_CODES
		}

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





	@property
	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		return self._src_lang





	@src_lang.setter
	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		lowercase       =    new_src_lang
		self.set_src_lang_special_tokens(self._src_lang       )





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case = 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 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case = None       ):
		lowercase       =    [self.sep_token_id]
		lowercase       =    [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 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case		,    snake_case		,    snake_case		,    **snake_case       ):






		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(__lowercase		,    add_special_tokens=__lowercase		,    return_tensors=__lowercase		,    **__lowercase       )
		lowercase       =    self.convert_tokens_to_ids(__lowercase       )
		lowercase       =    tgt_lang_id
		return inputs





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case = "en_XX"		,    snake_case = None		,    snake_case = "ro_RO"		,    **snake_case		,    ):
		lowercase       =    src_lang
		lowercase       =    tgt_lang
		return super().prepare_seqaseq_batch(__lowercase		,    __lowercase		,    **__lowercase       )





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





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





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		lowercase       =    self.convert_tokens_to_ids(__lowercase       )
		lowercase       =    []
		lowercase       =    [self.eos_token_id, self.cur_lang_code]

		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 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		lowercase       =    self.convert_tokens_to_ids(__lowercase       )
		lowercase       =    []
		lowercase       =    [self.eos_token_id, self.cur_lang_code]

		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 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case = 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(__lowercase       ):
			logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''       )
			return
		lowercase       =    os.path.join(
		    __lowercase		,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )

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

		return (out_vocab_file,)







def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	if n == 0:
		return 0
	snake_case_		    =     float("-inf"							)
	for i in range(1     ,	n + 1							):
		snake_case_		    =     max(
		    _A     ,	prices[i - 1] + naive_cut_rod_recursive(n - i     ,	_A							)							)

	return max_revue


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	return _top_down_cut_rod_recursive(_A     ,	_A     ,	_A							)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A							):







	'''simple docstring'''





	if max_rev[n] >= 0:
		return max_rev[n]
	elif n == 0:
		return 0
	else:
		snake_case_		    =     float("-inf"							)
		for i in range(1     ,	n + 1							):
			snake_case_		    =     max(
			    _A     ,	prices[i - 1] + _top_down_cut_rod_recursive(n - i     ,	_A     ,	_A							)     ,	)

		snake_case_		    =     max_revenue

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)

	# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
	# length 0.
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	snake_case_		    =     0

	for i in range(1     ,	n + 1							):
		snake_case_		    =     max_rev[i]
		for j in range(1     ,	i + 1							):
			snake_case_		    =     max(_A     ,	prices[j - 1] + max_rev[i - j]							)

		snake_case_		    =     max_revenue_i

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if n < 0:
		snake_case_		    =     f"n must be greater than or equal to 0. Got n = {n}"
		raise ValueError(_A							)

	if n > len(_A							):
		snake_case_		    =     (
		    "Each integral piece of rod must have a corresponding price. "
		    f"Got n = {n} but length of prices = {len(_A							)}"
		)
		raise ValueError(_A							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     [6, 10, 12, 15, 20, 23]
	snake_case_		    =     len(_A							)

	# the best revenue comes from cutting the rod into 6 pieces, each
	# of length 1 resulting in a revenue of 6 * 6 = 36.
	snake_case_		    =     36

	snake_case_		    =     top_down_cut_rod(_A     ,	_A							)
	snake_case_		    =     bottom_up_cut_rod(_A     ,	_A							)
	snake_case_		    =     naive_cut_rod_recursive(_A     ,	_A							)

	assert expected_max_revenue == max_rev_top_down
	assert max_rev_top_down == max_rev_bottom_up
	assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
		main()
