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


_SCREAMING_SNAKE_CASE										=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE										=						"""▁"""

_SCREAMING_SNAKE_CASE										=						{"""vocab_file""": """sentencepiece.bpe.model"""}

_SCREAMING_SNAKE_CASE										=						{
    """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"""
        ),
    }
}

_SCREAMING_SNAKE_CASE										=						{
    """facebook/mbart-large-en-ro""": 1_024,
    """facebook/mbart-large-cc25""": 1_024,
}

# fmt: off
_SCREAMING_SNAKE_CASE										=						["""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"""






 lowerCamelCase	:int    			=		VOCAB_FILES_NAMES
 lowerCamelCase	:Optional[Any]    			=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase	:int    			=		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_		,				)  ->					Optional[Any]:
        _A        =  AddedToken(lowerCAmelCase__		,				lstrip=lowerCAmelCase__		,				rstrip=lowerCAmelCase__							) if isinstance(lowerCAmelCase__		,				lowerCAmelCase__							) else mask_token

        _A        =  {} 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__		,				)

        _A        =  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
        self.sp_model.Load(str(lowerCAmelCase__							)							)
        _A        =  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
        _A        =  {"""<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
        _A        =  1

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

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

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



 def __getstate__(					self							)  ->					Optional[int]:
        _A        =  self.__dict__.copy()
        _A        =  None
        _A        =  self.sp_model.serialized_model_proto()
        return state



 def __setstate__(					self		,				lowerCAmelCase_							)  ->					int:
        _A        =  d

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

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



 @property
 def      UpperCAmelCase							(					self							)  ->					Union[str, Any]:
        return len(self.sp_model							) + len(self.lang_code_to_id							) + self.fairseq_offset + 1  # Plus 1 for the mask token



 @property
 def      UpperCAmelCase							(					self							)  ->					str:
        return self._src_lang



 @src_lang.setter
 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					None:
        _A        =  new_src_lang
        self.set_src_lang_special_tokens(self._src_lang							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None		,				lowerCAmelCase_ = False							)  ->					List[int]:


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

        _A        =  [1] * len(self.prefix_tokens							)
        _A        =  [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      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					List[int]:


        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      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					List[int]:
        _A        =  [self.sep_token_id]
        _A        =  [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      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_		,				lowerCAmelCase_		,				lowerCAmelCase_		,				**lowerCAmelCase_							)  ->					str:


        if src_lang is None or tgt_lang is None:
               raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""							)
        _A        =  src_lang
        _A        =  self(lowerCAmelCase__		,				add_special_tokens=lowerCAmelCase__		,				return_tensors=lowerCAmelCase__		,				**lowerCAmelCase__							)
        _A        =  self.convert_tokens_to_ids(lowerCAmelCase__							)
        _A        =  tgt_lang_id
        return inputs



 def      UpperCAmelCase							(					self							)  ->					Optional[int]:
        _A        =  {self.convert_ids_to_tokens(lowerCAmelCase__							): i for i in range(self.vocab_size							)}
        vocab.update(self.added_tokens_encoder							)
        return vocab



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[str]:
        return self.sp_model.encode(lowerCAmelCase__		,				out_type=lowerCAmelCase__							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Optional[int]:


        if token in self.fairseq_tokens_to_ids:
               return self.fairseq_tokens_to_ids[token]
        _A        =  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      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Dict:


        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      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Dict:
        _A        =  """""".join(lowerCAmelCase__							).replace(lowerCAmelCase__		,				""" """							).strip()
        return out_string



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					Tuple[str]:


        if not os.path.isdir(lowerCAmelCase__							):
               logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
               return
        _A        =  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:
                      _A        =  self.sp_model.serialized_model_proto()
                      fi.write(lowerCAmelCase__							)

        return (out_vocab_file,)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = "en_XX"		,				lowerCAmelCase_ = None		,				lowerCAmelCase_ = "ro_RO"		,				**lowerCAmelCase_		,				)  ->					BatchEncoding:
        _A        =  src_lang
        _A        =  tgt_lang
        return super().prepare_seqaseq_batch(lowerCAmelCase__		,				lowerCAmelCase__		,				**lowerCAmelCase__							)



 def      UpperCAmelCase							(					self							)  ->					List[str]:
        return self.set_src_lang_special_tokens(self.src_lang							)



 def      UpperCAmelCase							(					self							)  ->					List[Any]:
        return self.set_tgt_lang_special_tokens(self.tgt_lang							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					None:
        _A        =  self.lang_code_to_id[src_lang]
        _A        =  []
        _A        =  [self.eos_token_id, self.cur_lang_code]



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					None:
        _A        =  self.lang_code_to_id[lang]
        _A        =  []
        _A        =  [self.eos_token_id, self.cur_lang_code]





from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
__a  :     List[str]       =  Lock()





def 				UpperCAmelCase						(    lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							,			lowercase							):







				"""simple docstring"""



				global process_lock

				# we perform n swaps since after n swaps we know we are sorted
				# we *could* stop early if we are sorted already, but it takes as long to
				# find out we are sorted as it does to sort the list with this algorithm
				for i in range(0							,			10							):
								if (i + position) % 2 == 0 and r_send is not None:
												# send your value to your right neighbor
												process_lock.acquire()
												r_send[1].send(lowercase							)
												process_lock.release()

												# receive your right neighbor's value
												process_lock.acquire()
												__lowercase 			=							rr_cv[0].recv()
												process_lock.release()

												# take the lower value since you are on the left
												__lowercase 			=							min(lowercase							,			lowercase							)
								elif (i + position) % 2 != 0 and l_send is not None:
												# send your value to your left neighbor
												process_lock.acquire()
												l_send[1].send(lowercase							)
												process_lock.release()

												# receive your left neighbor's value
												process_lock.acquire()
												__lowercase 			=							lr_cv[0].recv()
												process_lock.release()

												# take the higher value since you are on the right
												__lowercase 			=							max(lowercase							,			lowercase							)
    # after all swaps are performed, send the values back to main
				result_pipe[1].send(lowercase							)





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				__lowercase 			=							[]
				__lowercase 			=							[]
				# initialize the list of pipes where the values will be retrieved
				for _ in arr:
								result_pipe.append(Pipe()							)
				# creates the processes
				# the first and last process only have one neighbor so they are made outside
				# of the loop
				__lowercase 			=							Pipe()
				__lowercase 			=							Pipe()
				process_array_.append(
				    Process(
				        target=lowercase							,			args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])							,			)							)
				__lowercase 			=							temp_rs
				__lowercase 			=							temp_rr

				for i in range(1							,			len(lowercase							) - 1							):
								__lowercase 			=							Pipe()
								__lowercase 			=							Pipe()
								process_array_.append(
								    Process(
								        target=lowercase							,			args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])							,			)							)
								__lowercase 			=							temp_rs
								__lowercase 			=							temp_rr

				process_array_.append(
				    Process(
				        target=lowercase							,			args=(
				            len(lowercase							) - 1,
				            arr[len(lowercase							) - 1],
				            temp_ls,
				            None,
				            temp_lr,
				            None,
				            result_pipe[len(lowercase							) - 1],
				        )							,			)							)

				# start the processes
				for p in process_array_:
								p.start()

				# wait for the processes to end and write their values to the list
				for p in range(0							,			len(lowercase							)							):
								__lowercase 			=							result_pipe[p][0].recv()
								process_array_[p].join()
				return arr





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							list(range(10							,			0							,			-1							)							)
				print('''Initial List'''							)
				print(*lowercase							)
				__lowercase 			=							odd_even_transposition(lowercase							)
				print('''Sorted List\n'''							)
				print(*lowercase							)


if __name__ == "__main__":
		main()