"""simple docstring"""







import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE						=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						=    {
    'source_spm': 'source.spm',
    'target_spm': 'target.spm',
    'vocab': 'vocab.json',
    'target_vocab_file': 'target_vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
}

SCREAMING_SNAKE_CASE						=    {
    'source_spm': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm'
    },
    'target_spm': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm'
    },
    'vocab': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json'
    },
    'tokenizer_config_file': {
        'Helsinki-NLP/opus-mt-en-de': (
            'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json'
        )
    },
}

SCREAMING_SNAKE_CASE						=    {'Helsinki-NLP/opus-mt-en-de': 512}
SCREAMING_SNAKE_CASE						=    {}



class 			_lowerCamelCase      (__lowerCamelCase  ):
				_snake_case  =	VOCAB_FILES_NAMES
				_snake_case  =	PRETRAINED_VOCAB_FILES_MAP
				_snake_case  =	PRETRAINED_INIT_CONFIGURATION
				_snake_case  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_snake_case  =	["input_ids", "attention_mask"]
				_snake_case  =	re.compile(">>.+<<"  )  # type: re.Pattern







				def __init__(			self     :							List[str]      ,       lowerCamelCase_     :							Optional[int]      ,       lowerCamelCase_     :							Dict      ,       lowerCamelCase_     :							int      ,       lowerCamelCase_     :							List[str]=None      ,       lowerCamelCase_     :							Dict=None      ,       lowerCamelCase_     :							Any=None      ,       lowerCamelCase_     :							Union[str, Any]="<unk>"      ,       lowerCamelCase_     :							str="</s>"      ,       lowerCamelCase_     :							Optional[int]="<pad>"      ,       lowerCamelCase_     :							Dict=5_1_2      ,       lowerCamelCase_     :							Optional[Dict[str, Any]] = None      ,       lowerCamelCase_     :							Tuple=False      ,       **lowerCamelCase_     :							str      ,       ):

					"""simple docstring"""






					_lowercase			:     List[Any]      					=				{} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
					    source_lang=lowerCamelCase_      ,       target_lang=lowerCamelCase_      ,       unk_token=lowerCamelCase_      ,       eos_token=lowerCamelCase_      ,       pad_token=lowerCamelCase_      ,       model_max_length=lowerCamelCase_      ,       sp_model_kwargs=self.sp_model_kwargs      ,       target_vocab_file=lowerCamelCase_      ,       separate_vocabs=lowerCamelCase_      ,       **lowerCamelCase_      ,       )
					assert Path(lowerCamelCase_    ).exists(), F'''cannot find spm source {source_spm}'''

					_lowercase			:     Any      					=				separate_vocabs
					_lowercase			:     List[str]      					=				load_json(lowerCamelCase_    )
					if self.unk_token not in self.encoder:
						raise KeyError('<unk> token must be in vocab'    )
					assert self.pad_token in self.encoder

					if separate_vocabs:
						_lowercase			:     Tuple      					=				load_json(lowerCamelCase_    )
						_lowercase			:     Tuple      					=				{v: k for k, v in self.target_encoder.items()}
						_lowercase			:     List[str]      					=				[]
					else:
						_lowercase			:     List[str]      					=				{v: k for k, v in self.encoder.items()}
						_lowercase			:     list      					=				[k for k in self.encoder if k.startswith('>>'    ) and k.endswith('<<'    )]

					_lowercase			:     Tuple      					=				source_lang
					_lowercase			:     Optional[Any]      					=				target_lang
					_lowercase			:     List[str]      					=				[source_spm, target_spm]

					# load SentencePiece model for pre-processing
					_lowercase			:     Optional[int]      					=				load_spm(lowerCamelCase_      ,       self.sp_model_kwargs    )
					_lowercase			:     Union[str, Any]      					=				load_spm(lowerCamelCase_      ,       self.sp_model_kwargs    )
					_lowercase			:     Union[str, Any]      					=				self.spm_source
					_lowercase			:     Optional[int]      					=				self.encoder

					# Multilingual target side: default to using first supported language code.

					self._setup_normalizer()







				def 				__UpperCAmelCase       (			self     :							Any    ):

					"""simple docstring"""






					try:
						from sacremoses import MosesPunctNormalizer

						_lowercase			:     Dict      					=				MosesPunctNormalizer(self.source_lang    ).normalize
					except (ImportError, FileNotFoundError):
						warnings.warn('Recommended: pip install sacremoses.'    )
						_lowercase			:     List[str]      					=				lambda lowerCamelCase_    : x







				def 				__UpperCAmelCase       (			self     :							List[Any]      ,       lowerCamelCase_     :							str    ):

					"""simple docstring"""






					return self.punc_normalizer(lowerCamelCase_    ) if x else ""







				def 				__UpperCAmelCase       (			self     :							List[str]      ,       lowerCamelCase_     :							Dict    ):

					"""simple docstring"""






					return self.current_encoder.get(lowerCamelCase_      ,       self.current_encoder[self.unk_token]    )







				def 				__UpperCAmelCase       (			self     :							List[Any]      ,       lowerCamelCase_     :							str    ):

					"""simple docstring"""






					_lowercase			:     Union[str, Any]      					=				self.language_code_re.match(lowerCamelCase_    )
					_lowercase			:     list      					=				[match.group(0    )] if match else []
					return code, self.language_code_re.sub(''      ,       lowerCamelCase_    )







				def 				__UpperCAmelCase       (			self     :							Optional[Any]      ,       lowerCamelCase_     :							str    ):

					"""simple docstring"""






					_lowercase					,   _lowercase			:     List[str]      					=				self.remove_language_code(lowerCamelCase_    )
					_lowercase			:     Any      					=				self.current_spm.encode(lowerCamelCase_      ,       out_type=lowerCamelCase_    )
					return code + pieces







				def 				__UpperCAmelCase       (			self     :							Tuple      ,       lowerCamelCase_     :							int    ):

					"""simple docstring"""






					return self.decoder.get(lowerCamelCase_      ,       self.unk_token    )







				def 				__UpperCAmelCase       (			self     :							str      ,       lowerCamelCase_     :							Dict      ,       **lowerCamelCase_     :							str    ):

					"""simple docstring"""






					return super().batch_decode(lowerCamelCase_      ,       **lowerCamelCase_    )







				def 				__UpperCAmelCase       (			self     :							List[str]      ,       lowerCamelCase_     :							Optional[int]      ,       **lowerCamelCase_     :							List[str]    ):

					"""simple docstring"""






					return super().decode(lowerCamelCase_      ,       **lowerCamelCase_    )







				def 				__UpperCAmelCase       (			self     :							List[Any]      ,       lowerCamelCase_     :							List[str]    ):

					"""simple docstring"""






					_lowercase			:     str      					=				self.spm_source if self._decode_use_source_tokenizer else self.spm_target
					_lowercase			:     str      					=				[]
					_lowercase			:     List[str]      					=				''
					for token in tokens:
						# make sure that special tokens are not decoded using sentencepiece model
						if token in self.all_special_tokens:
							out_string += sp_model.decode_pieces(lowerCamelCase_    ) + token + " "
							_lowercase			:     int      					=				[]
						else:
							current_sub_tokens.append(lowerCamelCase_    )
					out_string += sp_model.decode_pieces(lowerCamelCase_    )
					return out_string.strip()







				def 				__UpperCAmelCase       (			self     :							Dict      ,       lowerCamelCase_     :							Union[str, Any]      ,       lowerCamelCase_     :							List[str]=None    ):

					"""simple docstring"""






					if token_ids_a is None:
						return token_ids_a + [self.eos_token_id]
					# We don't expect to process pairs, but leave the pair logic for API consistency
					return token_ids_a + token_ids_a + [self.eos_token_id]







				def 				__UpperCAmelCase       (			self     :							Any    ):

					"""simple docstring"""






					_lowercase			:     Any      					=				self.spm_source
					_lowercase			:     str      					=				self.encoder







				def 				__UpperCAmelCase       (			self     :							str    ):

					"""simple docstring"""






					_lowercase			:     int      					=				self.spm_target
					if self.separate_vocabs:
						_lowercase			:     List[Any]      					=				self.target_encoder







				@property
				def 				__UpperCAmelCase       (			self     :							Optional[Any]    ):

					"""simple docstring"""






					return len(self.encoder    )







				def 				__UpperCAmelCase       (			self     :							str      ,       lowerCamelCase_     :							str      ,       lowerCamelCase_     :							Optional[str] = None    ):

					"""simple docstring"""






					if not os.path.isdir(lowerCamelCase_    ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
						return
					_lowercase			:     Dict      					=				[]

					if self.separate_vocabs:
						_lowercase			:     List[Any]      					=				os.path.join(
						    lowerCamelCase_      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']      ,       )
						_lowercase			:     Optional[Any]      					=				os.path.join(
						    lowerCamelCase_      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['target_vocab_file']      ,       )
						save_json(self.encoder      ,       lowerCamelCase_    )
						save_json(self.target_encoder      ,       lowerCamelCase_    )
						saved_files.append(lowerCamelCase_    )
						saved_files.append(lowerCamelCase_    )
					else:
						_lowercase			:     Dict      					=				os.path.join(
						    lowerCamelCase_      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']    )
						save_json(self.encoder      ,       lowerCamelCase_    )
						saved_files.append(lowerCamelCase_    )

					for spm_save_filename, spm_orig_path, spm_model in zip(
					    [VOCAB_FILES_NAMES['source_spm'], VOCAB_FILES_NAMES['target_spm']]      ,       self.spm_files      ,       [self.spm_source, self.spm_target]      ,       ):
						_lowercase			:     List[str]      					=				os.path.join(
						    lowerCamelCase_      ,       (filename_prefix + '-' if filename_prefix else '') + spm_save_filename    )
						if os.path.abspath(lowerCamelCase_    ) != os.path.abspath(lowerCamelCase_    ) and os.path.isfile(lowerCamelCase_    ):
							copyfile(lowerCamelCase_      ,       lowerCamelCase_    )
							saved_files.append(lowerCamelCase_    )
						elif not os.path.isfile(lowerCamelCase_    ):
							with open(lowerCamelCase_      ,       'wb'    ) as fi:
								_lowercase			:     Optional[int]      					=				spm_model.serialized_model_proto()
								fi.write(lowerCamelCase_    )
							saved_files.append(lowerCamelCase_    )

					return tuple(lowerCamelCase_    )







				def 				__UpperCAmelCase       (			self     :							Tuple    ):

					"""simple docstring"""






					return self.get_src_vocab()







				def 				__UpperCAmelCase       (			self     :							List[Any]    ):

					"""simple docstring"""






					return dict(self.encoder      ,       **self.added_tokens_encoder    )







				def 				__UpperCAmelCase       (			self     :							Tuple    ):

					"""simple docstring"""






					return dict(self.target_encoder      ,       **self.added_tokens_decoder    )







				def __getstate__(			self     :							str    ):

					"""simple docstring"""






					_lowercase			:     Any      					=				self.__dict__.copy()
					state.update(
					    {k: None for k in ['spm_source', 'spm_target', 'current_spm', 'punc_normalizer', 'target_vocab_file']}    )
					return state







				def __setstate__(			self     :							Tuple      ,       lowerCamelCase_     :							Dict    ):

					"""simple docstring"""






					_lowercase			:     List[Any]      					=				d

					# for backward compatibility
					if not hasattr(self      ,       'sp_model_kwargs'    ):
						_lowercase			:     Union[str, Any]      					=				{}

					_lowercase					,   _lowercase			:     Optional[Any]      					=				(load_spm(lowerCamelCase_      ,       self.sp_model_kwargs    ) for f in self.spm_files)
					_lowercase			:     Tuple      					=				self.spm_source
					self._setup_normalizer()







				def 				__UpperCAmelCase       (			self     :							List[str]      ,       *lowerCamelCase_     :							Union[str, Any]      ,       **lowerCamelCase_     :							Optional[Any]    ):

					"""simple docstring"""






					return 1







				def 				__UpperCAmelCase       (			self     :							List[Any]      ,       lowerCamelCase_     :							Optional[int]    ):

					"""simple docstring"""






					_lowercase			:     List[Any]      					=				set(self.all_special_ids    )  # call it once instead of inside list comp
					all_special_ids.remove(self.unk_token_id    )  # <unk> is only sometimes special
					return [1 if x in all_special_ids else 0 for x in seq]







				def 				__UpperCAmelCase       (			self     :							str      ,       lowerCamelCase_     :							List      ,       lowerCamelCase_     :							Optional[List] = None      ,       lowerCamelCase_     :							bool = False    ):

					"""simple docstring"""






					if already_has_special_tokens:
						return self._special_token_mask(lowerCamelCase_    )
					elif token_ids_a is None:
						return self._special_token_mask(lowerCamelCase_    ) + [1]
					else:
						return self._special_token_mask(token_ids_a + token_ids_a    ) + [1]



def   __lowerCAmelCase(		__UpperCAmelCase  ,__UpperCAmelCase      ):






	"""simple docstring"""





	_lowercase			:     Dict      					=				sentencepiece.SentencePieceProcessor(**__UpperCAmelCase      )
	spm.Load(__UpperCAmelCase      )
	return spm


def   __lowerCAmelCase(		__UpperCAmelCase  ,__UpperCAmelCase      ):






	"""simple docstring"""





	with open(__UpperCAmelCase  ,'w'      ) as f:
		json.dump(__UpperCAmelCase  ,__UpperCAmelCase  ,indent=2      )







def   __lowerCAmelCase(		__UpperCAmelCase      ):






	"""simple docstring"""





	with open(__UpperCAmelCase  ,'r'      ) as f:
		return json.load(__UpperCAmelCase      )




"""simple docstring"""







def   __lowerCAmelCase(		__UpperCAmelCase      ):






	"""simple docstring"""





	if len(__UpperCAmelCase      ) > 1:
		_lowercase			:     Dict      					=				len(__UpperCAmelCase      ) // 2  # Finds the middle of the array
		_lowercase			:     List[str]      					=				arr[
		    :middle_length
		]  # Creates an array of the elements in the first half.
		_lowercase			:     Optional[int]      					=				arr[
		    middle_length:
		]  # Creates an array of the elements in the second half.
		_lowercase			:     Optional[Any]      					=				len(__UpperCAmelCase      )
		_lowercase			:     Optional[int]      					=				len(__UpperCAmelCase      )
		merge(__UpperCAmelCase      )  # Starts sorting the left.
		merge(__UpperCAmelCase      )  # Starts sorting the right
		_lowercase			:     Dict      					=				0  # Left Counter
		_lowercase			:     List[str]      					=				0  # Right Counter
		_lowercase			:     Optional[Any]      					=				0  # Position Counter
		while (
		    left_index < left_size and right_index < right_size
		):  # Runs until the lowers size of the left and right are sorted.
			if left_array[left_index] < right_array[right_index]:
				_lowercase			:     Optional[int]      					=				left_array[left_index]
				left_index += 1
			else:
				_lowercase			:     int      					=				right_array[right_index]
				right_index += 1
			index += 1
		while (
		    left_index < left_size
		):  # Adds the left over elements in the left half of the array
			_lowercase			:     Any      					=				left_array[left_index]
			left_index += 1
			index += 1
		while (
		    right_index < right_size
		):  # Adds the left over elements in the right half of the array
			_lowercase			:     str      					=				right_array[right_index]
			right_index += 1
			index += 1
	return arr


if __name__ == "__main__":
						import doctest

						doctest.testmod()



