




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        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			snake_case_  						=			VOCAB_FILES_NAMES
			snake_case_  						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case_  						=			PRETRAINED_VOCAB_FILES_MAP
			snake_case_  						=			['''input_ids''', '''attention_mask''']

			snake_case_  						=			[]
			snake_case_  						=			[]


			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__     ,		)       -> Union[str, Any]:



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

							__lowerCamelCase									=       {} 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__     ,		)

							__lowerCamelCase									=       spm.SentencePieceProcessor(**self.sp_model_kwargs				)
							self.sp_model.Load(str(lowerCamelCase__				)				)
							__lowerCamelCase									=       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
							__lowerCamelCase									=       {'<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
							__lowerCamelCase									=       1

							__lowerCamelCase									=       len(self.sp_model				)
							__lowerCamelCase									=       {
							    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowerCamelCase__				)
							}
							__lowerCamelCase									=       {v: k for k, v in self.lang_code_to_id.items()}
							__lowerCamelCase									=       len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset

							self.fairseq_tokens_to_ids.update(self.lang_code_to_id				)
							__lowerCamelCase									=       {v: k for k, v in self.fairseq_tokens_to_ids.items()}
							__lowerCamelCase									=       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]				)

							__lowerCamelCase									=       src_lang if src_lang is not None else 'en_XX'
							__lowerCamelCase									=       self.lang_code_to_id[self._src_lang]
							__lowerCamelCase									=       tgt_lang
							self.set_src_lang_special_tokens(self._src_lang				)


			def __getstate__( self				)       -> int:



							'''simple docstring'''
							__lowerCamelCase									=       self.__dict__.copy()
							__lowerCamelCase									=       None
							__lowerCamelCase									=       self.sp_model.serialized_model_proto()
							return state


			def __setstate__( self     ,		lowerCamelCase__				)       -> Union[str, Any]:



							'''simple docstring'''
							__lowerCamelCase									=       d

							# for backward compatibility
							if not hasattr(self     ,		'sp_model_kwargs'				):
											__lowerCamelCase									=       {}

							__lowerCamelCase									=       spm.SentencePieceProcessor(**self.sp_model_kwargs				)
							self.sp_model.LoadFromSerializedProto(self.sp_model_proto				)


			@property
			def  lowercase_       ( self				)       -> List[str]:



							'''simple docstring'''
							return len(self.sp_model				) + len(self.lang_code_to_id				) + self.fairseq_offset + 1  # Plus 1 for the mask token


			@property
			def  lowercase_       ( self				)       -> str:



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


			@src_lang.setter
			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> None:



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


			def  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = None     ,		lowerCamelCase__ = False				)       -> List[int]:



							'''simple docstring'''

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

							__lowerCamelCase									=       [1] * len(self.prefix_tokens				)
							__lowerCamelCase									=       [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  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = 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  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = None				)       -> List[int]:



							'''simple docstring'''
							__lowerCamelCase									=       [self.sep_token_id]
							__lowerCamelCase									=       [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  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__     ,		lowerCamelCase__     ,		lowerCamelCase__     ,		**lowerCamelCase__				)       -> List[Any]:



							'''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'				)
							__lowerCamelCase									=       src_lang
							__lowerCamelCase									=       self(lowerCamelCase__     ,		add_special_tokens=lowerCamelCase__     ,		return_tensors=lowerCamelCase__     ,		**lowerCamelCase__				)
							__lowerCamelCase									=       self.convert_tokens_to_ids(lowerCamelCase__				)
							__lowerCamelCase									=       tgt_lang_id
							return inputs


			def  lowercase_       ( self				)       -> str:



							'''simple docstring'''
							__lowerCamelCase									=       {self.convert_ids_to_tokens(lowerCamelCase__				): i for i in range(self.vocab_size				)}
							vocab.update(self.added_tokens_encoder				)
							return vocab


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> List[str]:



							'''simple docstring'''
							return self.sp_model.encode(lowerCamelCase__     ,		out_type=lowerCamelCase__				)


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> Tuple:



							'''simple docstring'''
							if token in self.fairseq_tokens_to_ids:
											return self.fairseq_tokens_to_ids[token]
							__lowerCamelCase									=       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  lowercase_       ( self     ,		lowerCamelCase__				)       -> Dict:



							'''simple docstring'''
							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  lowercase_       ( self     ,		lowerCamelCase__				)       -> str:



							'''simple docstring'''
							__lowerCamelCase									=       ''.join(lowerCamelCase__				).replace(lowerCamelCase__     ,		' '				).strip()
							return out_string


			def  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = None				)       -> Tuple[str]:



							'''simple docstring'''
							if not os.path.isdir(lowerCamelCase__				):
											logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
											return
							__lowerCamelCase									=       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:
															__lowerCamelCase									=       self.sp_model.serialized_model_proto()
															fi.write(lowerCamelCase__				)

							return (out_vocab_file,)


			def  lowercase_       ( self     ,		lowerCamelCase__     ,		lowerCamelCase__ = "en_XX"     ,		lowerCamelCase__ = None     ,		lowerCamelCase__ = "ro_RO"     ,		**lowerCamelCase__     ,		)       -> BatchEncoding:



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


			def  lowercase_       ( self				)       -> List[Any]:



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


			def  lowercase_       ( self				)       -> Dict:



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


			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> None:



							'''simple docstring'''
							__lowerCamelCase									=       self.lang_code_to_id[src_lang]
							__lowerCamelCase									=       []
							__lowerCamelCase									=       [self.eos_token_id, self.cur_lang_code]






			def  lowercase_       ( self     ,		lowerCamelCase__				)       -> None:



							'''simple docstring'''
							__lowerCamelCase									=       self.lang_code_to_id[lang]
							__lowerCamelCase									=       []
							__lowerCamelCase									=       [self.eos_token_id, self.cur_lang_code]








from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__A								=       logging.get_logger(__name__)

__A								=       {
    "facebook/xlm-roberta-xl": "https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json",
    "facebook/xlm-roberta-xxl": "https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}







class        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			snake_case_  						=			'''xlm-roberta-xl'''


			def __init__( self     ,		lowerCamelCase__=250_880     ,		lowerCamelCase__=2_560     ,		lowerCamelCase__=36     ,		lowerCamelCase__=32     ,		lowerCamelCase__=10_240     ,		lowerCamelCase__="gelu"     ,		lowerCamelCase__=0.1     ,		lowerCamelCase__=0.1     ,		lowerCamelCase__=514     ,		lowerCamelCase__=1     ,		lowerCamelCase__=0.02     ,		lowerCamelCase__=1e-05     ,		lowerCamelCase__=1     ,		lowerCamelCase__=0     ,		lowerCamelCase__=2     ,		lowerCamelCase__="absolute"     ,		lowerCamelCase__=True     ,		lowerCamelCase__=None     ,		**lowerCamelCase__     ,		)       -> str:



							'''simple docstring'''
							super().__init__(pad_token_id=lowerCamelCase__     ,		bos_token_id=lowerCamelCase__     ,		eos_token_id=lowerCamelCase__     ,		**lowerCamelCase__				)
							__lowerCamelCase									=       vocab_size
							__lowerCamelCase									=       hidden_size
							__lowerCamelCase									=       num_hidden_layers
							__lowerCamelCase									=       num_attention_heads
							__lowerCamelCase									=       hidden_act
							__lowerCamelCase									=       intermediate_size
							__lowerCamelCase									=       hidden_dropout_prob
							__lowerCamelCase									=       attention_probs_dropout_prob
							__lowerCamelCase									=       max_position_embeddings
							__lowerCamelCase									=       type_vocab_size
							__lowerCamelCase									=       initializer_range
							__lowerCamelCase									=       layer_norm_eps
							__lowerCamelCase									=       position_embedding_type
							__lowerCamelCase									=       use_cache
							__lowerCamelCase									=       classifier_dropout







class        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			@property
			def  lowercase_       ( self				)       -> Mapping[str, Mapping[int, str]]:



							'''simple docstring'''
							if self.task == "multiple-choice":
											__lowerCamelCase									=       {0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
											__lowerCamelCase									=       {0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]				)


