"""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_mbartaa import MBartaaTokenizer
else:
						UpperCamelCase_       :       str							   =		None


UpperCamelCase_       :       Tuple							   =		logging.get_logger(__name__)

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

UpperCamelCase_       :       Optional[int]							   =		{
    """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_       :       Optional[Any]							   =		{
    """facebook/mbart-large-50-one-to-many-mmt""": 1024,
}

# fmt: off
UpperCamelCase_       :       Union[str, Any]							   =		["""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 			_lowercase		(   __lowerCamelCase  ):
				lowerCamelCase__						=       VOCAB_FILES_NAMES
				lowerCamelCase__						=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase__						=       PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase__						=       ['input_ids', 'attention_mask']
				lowerCamelCase__						=       MBartaaTokenizer

				lowerCamelCase__						=       []
				lowerCamelCase__						=       []

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


										'''simple docstring'''
										# Mask token behave like a normal word, i.e. include the space before it
										UpperCAmelCase__						=		AddedToken(__lowerCamelCase       ,    lstrip=__lowerCamelCase       ,    rstrip=__lowerCamelCase     ) if isinstance(__lowerCamelCase       ,    __lowerCamelCase     ) else mask_token

										UpperCAmelCase__						=		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       ,    )

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

										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__						=		tgt_lang
										UpperCAmelCase__						=		self.lang_code_to_id[self._src_lang]
										self.set_src_lang_special_tokens(self._src_lang     )

				@property
				def        A (     self       :    str     ):


										'''simple docstring'''
										return self._src_lang

				@src_lang.setter
				def        A (     self       :    Any       ,    _lowercase       :    str     ):


										'''simple docstring'''
										UpperCAmelCase__						=		new_src_lang
										self.set_src_lang_special_tokens(self._src_lang     )

				def        A (     self       :    Tuple       ,    _lowercase       :    List[Any]       ,    _lowercase       :    Union[str, Any] = None     ):


										'''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        A (     self       :    List[Any]       ,    _lowercase       :    Optional[Any]       ,    _lowercase       :    Tuple = "en_XX"       ,    _lowercase       :    List[Any] = None       ,    _lowercase       :    List[Any] = "ro_RO"       ,    **_lowercase       :    Tuple       ,    ):


										'''simple docstring'''
										UpperCAmelCase__						=		src_lang
										UpperCAmelCase__						=		tgt_lang
										return super().prepare_seqaseq_batch(__lowerCamelCase       ,    __lowerCamelCase       ,    **__lowerCamelCase     )

				def        A (     self       :    List[str]     ):


										'''simple docstring'''
										return self.set_src_lang_special_tokens(self.src_lang     )

				def        A (     self       :    Any     ):


										'''simple docstring'''
										return self.set_tgt_lang_special_tokens(self.tgt_lang     )

				def        A (     self       :    int       ,    _lowercase       :    List[str]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		self.convert_tokens_to_ids(__lowerCamelCase     )
										UpperCAmelCase__						=		[self.cur_lang_code_id]
										UpperCAmelCase__						=		[self.eos_token_id]

										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        A (     self       :    Dict       ,    _lowercase       :    Optional[Any]     ):


										'''simple docstring'''
										UpperCAmelCase__						=		self.convert_tokens_to_ids(__lowerCamelCase     )
										UpperCAmelCase__						=		[self.cur_lang_code_id]
										UpperCAmelCase__						=		[self.eos_token_id]

										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        A (     self       :    List[Any]       ,    _lowercase       :    List[Any]       ,    _lowercase       :    List[Any]       ,    _lowercase       :    Any       ,    _lowercase       :    Dict       ,    **_lowercase       :    List[str]     ):


										'''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        A (     self       :    Union[str, Any]       ,    _lowercase       :    int       ,    _lowercase       :    List[Any] = None     ):


										'''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"""







from itertools import combinations_with_replacement


def   a__      (		UpperCAmelCase__       :			int = 1_0_0			)->	int:
						UpperCAmelCase__						=		[*list(range(1		,			2_1			)			), 2_5]
						UpperCAmelCase__						=		[2 * x for x in range(1		,			2_1			)] + [5_0]
						UpperCAmelCase__						=		[3 * x for x in range(1		,			2_1			)]
						UpperCAmelCase__						=		singles + doubles + triples + [0]

						UpperCAmelCase__						=		0
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42

						for double in doubles:
												for throwa, throwa in combinations_with_replacement(UpperCAmelCase__		,			2			):
																		UpperCAmelCase__						=		double + throwa + throwa
																		if checkout_total < limit:
																								num_checkouts += 1

						return num_checkouts


if __name__ == "__main__":
						print(F"""{solution() = }""")

