
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


_UpperCAmelCase   :					Union[str, Any]    =			logging.get_logger(__name__)

_UpperCAmelCase   :					List[Any]    =			{
    "source_spm": "source.spm",
    "target_spm": "target.spm",
    "vocab": "vocab.json",
    "target_vocab_file": "target_vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
}

_UpperCAmelCase   :					Any    =			{
    "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"
        )
    },
}

_UpperCAmelCase   :					Optional[Any]    =			{"Helsinki-NLP/opus-mt-en-de": 512}
_UpperCAmelCase   :					List[str]    =			{}


class 							lowercase   (						_SCREAMING_SNAKE_CASE  ):
		__lowercase			:			Any      	=							VOCAB_FILES_NAMES
		__lowercase			:			Optional[Any]      	=							PRETRAINED_VOCAB_FILES_MAP
		__lowercase			:			Dict      	=							PRETRAINED_INIT_CONFIGURATION
		__lowercase			:			str      	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase			:			List[str]      	=							["input_ids", "attention_mask"]
		__lowercase			:			Tuple      	=							re.compile(">>.+<<"  )  # type: re.Pattern



		def __init__(					self							, A_							, A_							, A_							, A_=None							, A_=None							, A_=None							, A_="<unk>"							, A_="</s>"							, A_="<pad>"							, A_=512							, A_ = None							, A_=False							, **A_							, )    ->   None:
				"""simple docstring"""
				UpperCamelCase            =	{} 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=A_							, target_lang=A_							, unk_token=A_							, eos_token=A_							, pad_token=A_							, model_max_length=A_							, sp_model_kwargs=self.sp_model_kwargs							, target_vocab_file=A_							, separate_vocabs=A_							, **A_							, )
				assert Path(A_			).exists(), F'''cannot find spm source {source_spm}'''

				UpperCamelCase            =	separate_vocabs
				UpperCamelCase            =	load_json(A_			)
				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:
						UpperCamelCase            =	load_json(A_			)
						UpperCamelCase            =	{v: k for k, v in self.target_encoder.items()}
						UpperCamelCase            =	[]
				else:
						UpperCamelCase            =	{v: k for k, v in self.encoder.items()}
						UpperCamelCase            =	[k for k in self.encoder if k.startswith('>>'			) and k.endswith('<<'			)]

				UpperCamelCase            =	source_lang
				UpperCamelCase            =	target_lang
				UpperCamelCase            =	[source_spm, target_spm]

				# load SentencePiece model for pre-processing
				UpperCamelCase            =	load_spm(A_							, self.sp_model_kwargs			)
				UpperCamelCase            =	load_spm(A_							, self.sp_model_kwargs			)
				UpperCamelCase            =	self.spm_source
				UpperCamelCase            =	self.encoder

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

				self._setup_normalizer()



		def __UpperCamelCase					(					self			)    ->   Union[str, Any]:
				"""simple docstring"""
				try:
						from sacremoses import MosesPunctNormalizer

						UpperCamelCase            =	MosesPunctNormalizer(self.source_lang			).normalize
				except (ImportError, FileNotFoundError):
						warnings.warn('Recommended: pip install sacremoses.'			)
						UpperCamelCase            =	lambda A_			: x



		def __UpperCamelCase					(					self							, A_			)    ->   str:
				"""simple docstring"""
				return self.punc_normalizer(A_			) if x else ""



		def __UpperCamelCase					(					self							, A_			)    ->   Union[str, Any]:
				"""simple docstring"""
				return self.current_encoder.get(A_							, self.current_encoder[self.unk_token]			)



		def __UpperCamelCase					(					self							, A_			)    ->   Optional[int]:
				"""simple docstring"""
				UpperCamelCase            =	self.language_code_re.match(A_			)
				UpperCamelCase            =	[match.group(0			)] if match else []
				return code, self.language_code_re.sub(''							, A_			)



		def __UpperCamelCase					(					self							, A_			)    ->   List[str]:
				"""simple docstring"""
				UpperCamelCase      ,    UpperCamelCase            =	self.remove_language_code(A_			)
				UpperCamelCase            =	self.current_spm.encode(A_							, out_type=A_			)
				return code + pieces



		def __UpperCamelCase					(					self							, A_			)    ->   str:
				"""simple docstring"""
				return self.decoder.get(A_							, self.unk_token			)



		def __UpperCamelCase					(					self							, A_							, **A_			)    ->   Dict:
				"""simple docstring"""
				return super().batch_decode(A_							, **A_			)



		def __UpperCamelCase					(					self							, A_							, **A_			)    ->   Optional[int]:
				"""simple docstring"""
				return super().decode(A_							, **A_			)



		def __UpperCamelCase					(					self							, A_			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	self.spm_source if self._decode_use_source_tokenizer else self.spm_target
				UpperCamelCase            =	[]
				UpperCamelCase            =	''
				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(A_			) + token + " "
								UpperCamelCase            =	[]
						else:
								current_sub_tokens.append(A_			)
				out_string += sp_model.decode_pieces(A_			)
				return out_string.strip()



		def __UpperCamelCase					(					self							, A_							, A_=None			)    ->   List[int]:
				"""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			)    ->   Optional[int]:
				"""simple docstring"""
				UpperCamelCase            =	self.spm_source
				UpperCamelCase            =	self.encoder



		def __UpperCamelCase					(					self			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	self.spm_target
				if self.separate_vocabs:
						UpperCamelCase            =	self.target_encoder



		@property
		def __UpperCamelCase					(					self			)    ->   int:
				"""simple docstring"""
				return len(self.encoder			)



		def __UpperCamelCase					(					self							, A_							, A_ = None			)    ->   Tuple[str]:
				"""simple docstring"""
				if not os.path.isdir(A_			):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
						return
				UpperCamelCase            =	[]

				if self.separate_vocabs:
						UpperCamelCase            =	os.path.join(
						    A_							, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']							, )
						UpperCamelCase            =	os.path.join(
						    A_							, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['target_vocab_file']							, )
						save_json(self.encoder							, A_			)
						save_json(self.target_encoder							, A_			)
						saved_files.append(A_			)
						saved_files.append(A_			)
				else:
						UpperCamelCase            =	os.path.join(
						    A_							, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']			)
						save_json(self.encoder							, A_			)
						saved_files.append(A_			)

				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]							, ):
						UpperCamelCase            =	os.path.join(
						    A_							, (filename_prefix + '-' if filename_prefix else '') + spm_save_filename			)
						if os.path.abspath(A_			) != os.path.abspath(A_			) and os.path.isfile(A_			):
								copyfile(A_							, A_			)
								saved_files.append(A_			)
						elif not os.path.isfile(A_			):
								with open(A_							, 'wb'			) as fi:
										UpperCamelCase            =	spm_model.serialized_model_proto()
										fi.write(A_			)
								saved_files.append(A_			)

				return tuple(A_			)



		def __UpperCamelCase					(					self			)    ->   Dict:
				"""simple docstring"""
				return self.get_src_vocab()



		def __UpperCamelCase					(					self			)    ->   Tuple:
				"""simple docstring"""
				return dict(self.encoder							, **self.added_tokens_encoder			)



		def __UpperCamelCase					(					self			)    ->   str:
				"""simple docstring"""
				return dict(self.target_encoder							, **self.added_tokens_decoder			)



		def __getstate__(					self			)    ->   Dict:
				"""simple docstring"""
				UpperCamelCase            =	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							, A_			)    ->   None:
				"""simple docstring"""
				UpperCamelCase            =	d

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

				UpperCamelCase      ,    UpperCamelCase            =	(load_spm(A_							, self.sp_model_kwargs			) for f in self.spm_files)
				UpperCamelCase            =	self.spm_source
				self._setup_normalizer()



		def __UpperCamelCase					(					self							, *A_							, **A_			)    ->   List[str]:
				"""simple docstring"""
				return 1



		def __UpperCamelCase					(					self							, A_			)    ->   List[str]:
				"""simple docstring"""
				UpperCamelCase            =	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							, A_							, A_ = None							, A_ = False			)    ->   List[int]:
				"""simple docstring"""
				if already_has_special_tokens:
						return self._special_token_mask(A_			)
				elif token_ids_a is None:
						return self._special_token_mask(A_			) + [1]
				else:
						return self._special_token_mask(token_ids_a + token_ids_a			) + [1]






def  A			(   lowercase       ,			lowercase					)  ->    sentencepiece.SentencePieceProcessor:
		'''simple docstring'''

		UpperCamelCase            =	sentencepiece.SentencePieceProcessor(**lowercase					)
		spm.Load(lowercase					)
		return spm


def  A			(   lowercase       ,			lowercase					)  ->    None:
		'''simple docstring'''

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


def  A			(   lowercase					)  ->    Union[Dict, List]:
		'''simple docstring'''

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


def  A			(   lowercase					)  ->    int:
		'''simple docstring'''

		return int(lowercase					) if x - int(lowercase					) >= 0 else int(lowercase					) - 1


if __name__ == "__main__":
					import doctest

					doctest.testmod()
