


'''simple docstring'''



import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


__A		=logging.get_logger(__name__)

__A		='▁'

__A		={'vocab_file': 'sentencepiece.bpe.model'}

__A		={
    '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'
        ),
    }
}

__A		={
    'facebook/mbart-large-en-ro': 10_24,
    'facebook/mbart-large-cc25': 10_24,
}

# fmt: off
__A		=['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 						_snake_case   (       a__		):
					lowerCAmelCase :List[str]						=   VOCAB_FILES_NAMES
					lowerCAmelCase :str						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase :str						=   PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase :Optional[Any]						=   ['''input_ids''', '''attention_mask''']

					lowerCAmelCase :List[int]						=   []
					lowerCAmelCase :List[int]						=   []




					def __init__( self							,							_lowerCamelCase							,							_lowerCamelCase="<s>"							,							_lowerCamelCase="</s>"							,							_lowerCamelCase="</s>"							,							_lowerCamelCase="<s>"							,							_lowerCamelCase="<unk>"							,							_lowerCamelCase="<pad>"							,							_lowerCamelCase="<mask>"							,							_lowerCamelCase=None							,							_lowerCamelCase=None							,							_lowerCamelCase=None							,							_lowerCamelCase = None							,							_lowerCamelCase=None							,							**_lowerCamelCase							,							):
								# Mask token behave like a normal word, i.e. include the space before it
								UpperCAmelCase__					:   List[Any]       				=       AddedToken(_lowerCamelCase							,							lstrip=_lowerCamelCase							,							rstrip=_lowerCamelCase) if isinstance(_lowerCamelCase							,							_lowerCamelCase) else mask_token

								UpperCAmelCase__					:   str       				=       {} if sp_model_kwargs is None else sp_model_kwargs

								super().__init__(
								    bos_token=_lowerCamelCase							,							eos_token=_lowerCamelCase							,							unk_token=_lowerCamelCase							,							sep_token=_lowerCamelCase							,							cls_token=_lowerCamelCase							,							pad_token=_lowerCamelCase							,							mask_token=_lowerCamelCase							,							tokenizer_file=_lowerCamelCase							,							src_lang=_lowerCamelCase							,							tgt_lang=_lowerCamelCase							,							additional_special_tokens=_lowerCamelCase							,							sp_model_kwargs=self.sp_model_kwargs							,							**_lowerCamelCase							,							)

								UpperCAmelCase__					:   Any       				=       spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.Load(str(_lowerCamelCase))
								UpperCAmelCase__					:   str       				=       vocab_file

								# Original fairseq vocab and spm vocab must be "aligned":
								# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
								# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
								# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
								# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

								# Mimic fairseq token-to-id alignment for the first 4 token
								UpperCAmelCase__					:   str       				=       {"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

								# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
								UpperCAmelCase__					:   Optional[Any]       				=       1

								UpperCAmelCase__					:   Tuple       				=       len(self.sp_model)
								UpperCAmelCase__					:   Tuple       				=       {
								    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_lowerCamelCase)
								}
								UpperCAmelCase__					:   Optional[int]       				=       {v: k for k, v in self.lang_code_to_id.items()}
								UpperCAmelCase__					:   Dict       				=       len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset

								self.fairseq_tokens_to_ids.update(self.lang_code_to_id)
								UpperCAmelCase__					:   int       				=       {v: k for k, v in self.fairseq_tokens_to_ids.items()}
								UpperCAmelCase__					:   Union[str, Any]       				=       list(self.lang_code_to_id.keys())

								if additional_special_tokens is not None:
											# Only add those special tokens if they are not already there.
											self._additional_special_tokens.extend(
											    [t for t in additional_special_tokens if t not in self._additional_special_tokens])

								UpperCAmelCase__					:   List[Any]       				=       src_lang if src_lang is not None else """en_XX"""
								UpperCAmelCase__					:   Union[str, Any]       				=       self.lang_code_to_id[self._src_lang]
								UpperCAmelCase__					:   List[str]       				=       tgt_lang
								self.set_src_lang_special_tokens(self._src_lang)




					def __getstate__( self):
								UpperCAmelCase__					:   Union[str, Any]       				=       self.__dict__.copy()
								UpperCAmelCase__					:   Any       				=       None
								UpperCAmelCase__					:   int       				=       self.sp_model.serialized_model_proto()
								return state




					def __setstate__( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   str       				=       d

								# for backward compatibility
								if not hasattr(self							,							"""sp_model_kwargs"""):
											UpperCAmelCase__					:   Optional[Any]       				=       {}

								UpperCAmelCase__					:   Optional[Any]       				=       spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.LoadFromSerializedProto(self.sp_model_proto)




					@property
					def 			snake_case__  ( self):
								return len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset + 1  # Plus 1 for the mask token




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




					@src_lang.setter
					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   Union[str, Any]       				=       new_src_lang
								self.set_src_lang_special_tokens(self._src_lang)




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None							,							_lowerCamelCase = False):

								if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=_lowerCamelCase							,							token_ids_a=_lowerCamelCase							,							already_has_special_tokens=_lowerCamelCase)

								UpperCAmelCase__					:   int       				=       [1] * len(self.prefix_tokens)
								UpperCAmelCase__					:   int       				=       [1] * len(self.suffix_tokens)
								if token_ids_a is None:
											return prefix_ones + ([0] * len(_lowerCamelCase)) + suffix_ones
								return prefix_ones + ([0] * len(_lowerCamelCase)) + ([0] * len(_lowerCamelCase)) + suffix_ones




					def 			snake_case__  ( 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 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								UpperCAmelCase__					:   Optional[int]       				=       [self.sep_token_id]
								UpperCAmelCase__					:   Tuple       				=       [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							,							_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""")
								UpperCAmelCase__					:   List[str]       				=       src_lang
								UpperCAmelCase__					:   Optional[int]       				=       self(_lowerCamelCase							,							add_special_tokens=_lowerCamelCase							,							return_tensors=_lowerCamelCase							,							**_lowerCamelCase)
								UpperCAmelCase__					:   str       				=       self.convert_tokens_to_ids(_lowerCamelCase)
								UpperCAmelCase__					:   Tuple       				=       tgt_lang_id
								return inputs




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Dict       				=       {self.convert_ids_to_tokens(_lowerCamelCase): i for i in range(self.vocab_size)}
								vocab.update(self.added_tokens_encoder)
								return vocab




					def 			snake_case__  ( self							,							_lowerCamelCase):
								return self.sp_model.encode(_lowerCamelCase							,							out_type=_lowerCamelCase)




					def 			snake_case__  ( self							,							_lowerCamelCase):
								if token in self.fairseq_tokens_to_ids:
											return self.fairseq_tokens_to_ids[token]
								UpperCAmelCase__					:   int       				=       self.sp_model.PieceToId(_lowerCamelCase)

								# Need to return unknown token if the SP model returned 0
								return spm_id + self.fairseq_offset if spm_id else self.unk_token_id




					def 			snake_case__  ( self							,							_lowerCamelCase):
								if index in self.fairseq_ids_to_tokens:
											return self.fairseq_ids_to_tokens[index]
								return self.sp_model.IdToPiece(index - self.fairseq_offset)




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   Dict       				=       """""".join(_lowerCamelCase).replace(_lowerCamelCase							,							""" """).strip()
								return out_string




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								if not os.path.isdir(_lowerCamelCase):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
											return
								UpperCAmelCase__					:   Optional[int]       				=       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) and os.path.isfile(self.vocab_file):
											copyfile(self.vocab_file							,							_lowerCamelCase)
								elif not os.path.isfile(self.vocab_file):
											with open(_lowerCamelCase							,							"""wb""") as fi:
														UpperCAmelCase__					:   Dict       				=       self.sp_model.serialized_model_proto()
														fi.write(_lowerCamelCase)

								return (out_vocab_file,)




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = "en_XX"							,							_lowerCamelCase = None							,							_lowerCamelCase = "ro_RO"							,							**_lowerCamelCase							,							):
								UpperCAmelCase__					:   Optional[Any]       				=       src_lang
								UpperCAmelCase__					:   Any       				=       tgt_lang
								return super().prepare_seqaseq_batch(_lowerCamelCase							,							_lowerCamelCase							,							**_lowerCamelCase)




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




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




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   str       				=       self.lang_code_to_id[src_lang]
								UpperCAmelCase__					:   Tuple       				=       []
								UpperCAmelCase__					:   int       				=       [self.eos_token_id, self.cur_lang_code]




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   List[str]       				=       self.lang_code_to_id[lang]
								UpperCAmelCase__					:   Dict       				=       []
								UpperCAmelCase__					:   Union[str, Any]       				=       [self.eos_token_id, self.cur_lang_code]








'''simple docstring'''



def       _UpperCamelCase (						UpperCamelCase__   ):
			UpperCAmelCase__					:   List[str]       				=       len(UpperCamelCase__   )
			UpperCAmelCase__					:   List[Any]       				=       sum(UpperCamelCase__   )

			UpperCAmelCase__					:   List[str]       				=       [[False for x in range(s + 1   )] for y in range(n + 1   )]

			for i in range(1	, n + 1   ):
						UpperCAmelCase__					:   int       				=       True

			for i in range(1	, s + 1   ):
						UpperCAmelCase__					:   Dict       				=       False

			for i in range(1	, n + 1   ):
						for j in range(1	, s + 1   ):
									UpperCAmelCase__					:   int       				=       dp[i][j - 1]

									if arr[i - 1] <= j:
												UpperCAmelCase__					:   str       				=       dp[i][j] or dp[i - 1][j - arr[i - 1]]

			for j in range(int(s / 2   )	, -1	, -1   ):
						if dp[n][j] is True:
									UpperCAmelCase__					:   int       				=       s - 2 * j
									break

			return diff