
"""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


__A					=			logging.get_logger(__name__)

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

__A					=			{
    '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'
        )
    },
}

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







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			lowerCamelCase       =						VOCAB_FILES_NAMES
			lowerCamelCase       =						PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase       =						PRETRAINED_INIT_CONFIGURATION
			lowerCamelCase       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase       =						['''input_ids''', '''attention_mask''']
			lowerCamelCase       =						re.compile('''>>.+<<'''							)  # type: re.Pattern



			def __init__(				self	,	__UpperCAmelCase	,	__UpperCAmelCase	,	__UpperCAmelCase	,	__UpperCAmelCase=None	,	__UpperCAmelCase=None	,	__UpperCAmelCase=None	,	__UpperCAmelCase="<unk>"	,	__UpperCAmelCase="</s>"	,	__UpperCAmelCase="<pad>"	,	__UpperCAmelCase=5_12	,	__UpperCAmelCase = None	,	__UpperCAmelCase=False	,	**__UpperCAmelCase	,	)					->	List[str]:
				_lowerCAmelCase								={} 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=lowercase__	,	target_lang=lowercase__	,	unk_token=lowercase__	,	eos_token=lowercase__	,	pad_token=lowercase__	,	model_max_length=lowercase__	,	sp_model_kwargs=self.sp_model_kwargs	,	target_vocab_file=lowercase__	,	separate_vocabs=lowercase__	,	**lowercase__	,	)
				assert Path(lowercase__    ).exists(), f'''cannot find spm source {source_spm}'''

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

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

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

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

				self._setup_normalizer()



			def    _lowerCAmelCase						(				self    )					->	Optional[Any]:



				try:
					from sacremoses import MosesPunctNormalizer

					_lowerCAmelCase								=MosesPunctNormalizer(self.source_lang    ).normalize
				except (ImportError, FileNotFoundError):
					warnings.warn("""Recommended: pip install sacremoses."""    )
					_lowerCAmelCase								=lambda __UpperCAmelCase    : x



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Tuple:
				return self.punc_normalizer(lowercase__    ) if x else ""



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Tuple:
				return self.current_encoder.get(lowercase__	,	self.current_encoder[self.unk_token]    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Union[str, Any]:
				_lowerCAmelCase								=self.language_code_re.match(lowercase__    )
				_lowerCAmelCase								=[match.group(0    )] if match else []
				return code, self.language_code_re.sub(""""""	,	lowercase__    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	int:
				_lowerCAmelCase		,				_lowerCAmelCase								=self.remove_language_code(lowercase__    )
				_lowerCAmelCase								=self.current_spm.encode(lowercase__	,	out_type=lowercase__    )
				return code + pieces



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Optional[int]:
				return self.decoder.get(lowercase__	,	self.unk_token    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase	,	**__UpperCAmelCase    )					->	str:
				return super().batch_decode(lowercase__	,	**lowercase__    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase	,	**__UpperCAmelCase    )					->	Union[str, Any]:
				return super().decode(lowercase__	,	**lowercase__    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	Optional[int]:
				_lowerCAmelCase								=self.spm_source if self._decode_use_source_tokenizer else self.spm_target
				_lowerCAmelCase								=[]
				_lowerCAmelCase								=""""""
				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(lowercase__    ) + token + " "
						_lowerCAmelCase								=[]
					else:
						current_sub_tokens.append(lowercase__    )
				out_string += sp_model.decode_pieces(lowercase__    )
				return out_string.strip()



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase	,	__UpperCAmelCase=None    )					->	Dict:



				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    _lowerCAmelCase						(				self    )					->	str:
				_lowerCAmelCase								=self.spm_source
				_lowerCAmelCase								=self.encoder



			def    _lowerCAmelCase						(				self    )					->	int:
				_lowerCAmelCase								=self.spm_target
				if self.separate_vocabs:
					_lowerCAmelCase								=self.target_encoder



			@property
			def    _lowerCAmelCase						(				self    )					->	Union[str, Any]:
				return len(self.encoder    )



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase	,	__UpperCAmelCase = None    )					->	int:



				if not os.path.isdir(lowercase__    ):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
					return
				_lowerCAmelCase								=[]

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

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

				return tuple(lowercase__    )



			def    _lowerCAmelCase						(				self    )					->	List[Any]:
				return self.get_src_vocab()



			def    _lowerCAmelCase						(				self    )					->	Any:
				return dict(self.encoder	,	**self.added_tokens_encoder    )



			def    _lowerCAmelCase						(				self    )					->	Optional[int]:
				return dict(self.target_encoder	,	**self.added_tokens_decoder    )



			def __getstate__(				self    )					->	List[str]:
				_lowerCAmelCase								=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	,	__UpperCAmelCase    )					->	int:
				_lowerCAmelCase								=d

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

				_lowerCAmelCase		,				_lowerCAmelCase								=(load_spm(lowercase__	,	self.sp_model_kwargs    ) for f in self.spm_files)
				_lowerCAmelCase								=self.spm_source
				self._setup_normalizer()



			def    _lowerCAmelCase						(				self	,	*__UpperCAmelCase	,	**__UpperCAmelCase    )					->	List[Any]:
				return 1



			def    _lowerCAmelCase						(				self	,	__UpperCAmelCase    )					->	List[str]:
				_lowerCAmelCase								=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    _lowerCAmelCase						(				self	,	__UpperCAmelCase	,	__UpperCAmelCase = None	,	__UpperCAmelCase = False    )					->	Optional[Any]:



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







def        _lowerCamelCase(__UpperCamelCase       ,					__UpperCamelCase			)							->					Union[str, Any]:
	_lowerCAmelCase								=sentencepiece.SentencePieceProcessor(**lowerCAmelCase__			)
	spm.Load(lowerCAmelCase__			)
	return spm



def        _lowerCamelCase(__UpperCamelCase       ,					__UpperCamelCase			)							->					Optional[Any]:
	with open(lowerCAmelCase__       ,					"""w"""			) as f:
		json.dump(lowerCAmelCase__       ,					lowerCAmelCase__       ,					indent=2			)



def        _lowerCamelCase(__UpperCamelCase			)							->					Any:
	with open(lowerCAmelCase__       ,					"""r"""			) as f:
		return json.load(lowerCAmelCase__			)




import unittest

from cer import CER


lowerCAmelCase__      		=					CER()
class 							a_					(		unittest.TestCase		):






 '''simple docstring'''






 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['White House']
        lowerCAmelCase__	      =   ['white house']
        # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.1_818_181_818) < 1e-6)




 def 						__snake_case		(     self   :    List[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['were wolf']
        lowerCAmelCase__	      =   ['werewolf']
        # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.1_111_111) < 1e-6)

        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['weae     wolf']
        # S = 1, D = 1, I = 0, N = 8, CER = 0.25
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.25) < 1e-6)

        # consecutive whitespaces case 1
        lowerCAmelCase__	      =   ['were wolf']
        lowerCAmelCase__	      =   ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)

        # consecutive whitespaces case 2
        lowerCAmelCase__	      =   ['were   wolf']
        lowerCAmelCase__	      =   ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.0) < 1e-6)




 def 						__snake_case		(     self   :    Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['weaewolf']
        # S = 1, D = 0, I = 0, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['wereawolf']
        # S = 0, D = 1, I = 0, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   ['wereolf']
        # S = 0, D = 0, I = 1, N = 8, CER = 0.125
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.125) < 1e-6)




 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertEqual(lowercase__     ,       0.0)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['werewolf', 'I am your father']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertEqual(lowercase__     ,       0.0)

        lowerCAmelCase__	      =   ['werewolf', 'I am your father', 'doge']
        lowerCAmelCase__	      =   ['werxwolf', 'I       am your father', 'doge']
        # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.03_571_428) < 1e-6)




 def 						__snake_case		(     self   :    Tuple):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['My hovercraft', 'is full of eels']
        lowerCAmelCase__	      =   ['My hovercraft is full', ' of eels']
        # S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
        # whitespace at the front of " of eels" will be strip during preporcessing
        # so need to insert 2 whitespaces
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__     ,       concatenate_texts=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.071_428) < 1e-6)




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['我能吞下玻璃而不伤身体']
        lowerCAmelCase__	      =   [' 能吞虾玻璃而 不霜身体啦']
        # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.4_545_454_545) < 1e-6)

        lowerCAmelCase__	      =   ['我能吞下玻璃', '而不伤身体']
        lowerCAmelCase__	      =   ['我    能 吞 下 玻 璃', '而不伤身体']
        # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertTrue(abs(char_error_rate - 0.454_545_454_545) < 1e-6)

        lowerCAmelCase__	      =   ['我能吞下玻璃而不伤身体']
        lowerCAmelCase__	      =   cer.compute(predictions=lowercase__     ,       references=lowercase__)
        self.assertFalse(lowercase__     ,       0.0)




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   ['']
        lowerCAmelCase__	      =   ['Hypothesis']
        with self.assertRaises(lowercase__):
               cer.compute(predictions=lowercase__     ,       references=lowercase__)


if __name__ == "__main__":
    unittest.main()
