





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class        snake_case_		(			_A						,					unittest.TestCase):
		lowerCamelCase    :List[Any]						=     MgpstrTokenizer
		lowerCamelCase    :Tuple						=     False
		lowerCamelCase    :str						=     {}
		lowerCamelCase    :str						=     False







		def 			__lowercase   (		self   )				->   List[Any]:
				super().setUp()

				# fmt: off
				lowerCamelCase   : Any								=['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
				# fmt: on
				lowerCamelCase   : Tuple								=dict(zip(_SCREAMING_SNAKE_CASE			,     range(len(_SCREAMING_SNAKE_CASE   )   )   )   )

				lowerCamelCase   : Dict								=os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES['''vocab_file''']   )
				with open(self.vocab_file			,     '''w'''			,     encoding='''utf-8'''   ) as fp:
						fp.write(json.dumps(_SCREAMING_SNAKE_CASE   ) + '''\n'''   )







		def 			__lowercase   (		self			,     **__lowercase   )				->   Optional[Any]:
				return MgpstrTokenizer.from_pretrained(self.tmpdirname			,     **_SCREAMING_SNAKE_CASE   )







		def 			__lowercase   (		self			,     __lowercase   )				->   List[Any]:
				lowerCamelCase   : Optional[Any]								='''tester'''
				lowerCamelCase   : Dict								='''tester'''
				return input_text, output_text







		@unittest.skip('''MGP-STR always lower cases letters.'''   )
		def 			__lowercase   (		self   )				->   int:
				pass







		def 			__lowercase   (		self   )				->   str:
				lowerCamelCase   : Any								=self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE   )
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"   ):
								lowerCamelCase   : Any								='''[SPECIAL_TOKEN]'''

								tokenizer.add_special_tokens({'''cls_token''': special_token}   )
								lowerCamelCase   : Any								=tokenizer.encode([special_token]			,     add_special_tokens=_SCREAMING_SNAKE_CASE   )
								self.assertEqual(len(_SCREAMING_SNAKE_CASE   )			,     1   )

								lowerCamelCase   : str								=tokenizer.decode(_SCREAMING_SNAKE_CASE			,     skip_special_tokens=_SCREAMING_SNAKE_CASE   )
								self.assertTrue(special_token not in decoded   )







		def 			__lowercase   (		self   )				->   Optional[Any]:
				lowerCamelCase   : Any								=self.get_tokenizers()
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"   ):
								lowerCamelCase		,   lowerCamelCase   : int								=self.get_input_output_texts(_SCREAMING_SNAKE_CASE   )

								lowerCamelCase   : str								=tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
								lowerCamelCase   : Tuple								=tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE   )
								lowerCamelCase   : List[str]								=tokenizer.encode(_SCREAMING_SNAKE_CASE			,     add_special_tokens=_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE   )

								lowerCamelCase   : Optional[int]								=tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   )
								self.assertNotEqual(len(_SCREAMING_SNAKE_CASE   )			,     0   )
								lowerCamelCase   : Optional[Any]								=tokenizer.decode(_SCREAMING_SNAKE_CASE   )
								self.assertIsInstance(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE   )

								self.assertEqual(text_a.replace(''' '''			,     ''''''   )			,     _SCREAMING_SNAKE_CASE   )







		@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''   )
		def 			__lowercase   (		self   )				->   Any:
				pass







		@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''   )
		def 			__lowercase   (		self   )				->   Dict:
				pass








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

import sentencepiece

from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging


snake_case_							=			logging.get_logger(__name__)

snake_case_							=			'''▁'''

snake_case_							=			{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

snake_case_							=			{
    '''vocab_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json''',
    },
    '''spm_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_config_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json''',
    },
}

snake_case_							=			{
    '''facebook/m2m100_418M''': 1_0_2_4,
}

# fmt: off
snake_case_							=			{
    '''m2m100''': ['''af''', '''am''', '''ar''', '''ast''', '''az''', '''ba''', '''be''', '''bg''', '''bn''', '''br''', '''bs''', '''ca''', '''ceb''', '''cs''', '''cy''', '''da''', '''de''', '''el''', '''en''', '''es''', '''et''', '''fa''', '''ff''', '''fi''', '''fr''', '''fy''', '''ga''', '''gd''', '''gl''', '''gu''', '''ha''', '''he''', '''hi''', '''hr''', '''ht''', '''hu''', '''hy''', '''id''', '''ig''', '''ilo''', '''is''', '''it''', '''ja''', '''jv''', '''ka''', '''kk''', '''km''', '''kn''', '''ko''', '''lb''', '''lg''', '''ln''', '''lo''', '''lt''', '''lv''', '''mg''', '''mk''', '''ml''', '''mn''', '''mr''', '''ms''', '''my''', '''ne''', '''nl''', '''no''', '''ns''', '''oc''', '''or''', '''pa''', '''pl''', '''ps''', '''pt''', '''ro''', '''ru''', '''sd''', '''si''', '''sk''', '''sl''', '''so''', '''sq''', '''sr''', '''ss''', '''su''', '''sv''', '''sw''', '''ta''', '''th''', '''tl''', '''tn''', '''tr''', '''uk''', '''ur''', '''uz''', '''vi''', '''wo''', '''xh''', '''yi''', '''yo''', '''zh''', '''zu'''],
    '''wmt21''': ['''en''', '''ha''', '''is''', '''ja''', '''cs''', '''ru''', '''zh''', '''de''']
}
class        snake_case_		(			_A):
		lowerCamelCase    :Union[str, Any]						=     VOCAB_FILES_NAMES
		lowerCamelCase    :List[Any]						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase    :str						=     PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase    :Union[str, Any]						=     ["input_ids", "attention_mask"]

		lowerCamelCase    :List[int]						=     []
		lowerCamelCase    :List[int]						=     []







		def __init__(		self			,     __lowercase			,     __lowercase			,     __lowercase=None			,     __lowercase=None			,     __lowercase="<s>"			,     __lowercase="</s>"			,     __lowercase="</s>"			,     __lowercase="<pad>"			,     __lowercase="<unk>"			,     __lowercase="m2m100"			,     __lowercase = None			,     __lowercase=8			,     **__lowercase			,     )				->   None:
				lowerCamelCase   : Union[str, Any]								={} if sp_model_kwargs is None else sp_model_kwargs

				lowerCamelCase   : List[str]								=language_codes
				lowerCamelCase   : int								=FAIRSEQ_LANGUAGE_CODES[language_codes]
				lowerCamelCase   : str								={lang_code: F"__{lang_code}__" for lang_code in fairseq_language_code}

				lowerCamelCase   : List[Any]								=kwargs.get('''additional_special_tokens'''			,     []   )
				kwargs["additional_special_tokens"] += [
				    self.get_lang_token(__lowercase   )
				    for lang_code in fairseq_language_code
				    if self.get_lang_token(__lowercase   ) not in kwargs["additional_special_tokens"]
				]

				super().__init__(
				    src_lang=__lowercase			,     tgt_lang=__lowercase			,     bos_token=__lowercase			,     eos_token=__lowercase			,     sep_token=__lowercase			,     unk_token=__lowercase			,     pad_token=__lowercase			,     language_codes=__lowercase			,     sp_model_kwargs=self.sp_model_kwargs			,     num_madeup_words=__lowercase			,     **__lowercase			,     )

				lowerCamelCase   : Dict								=vocab_file
				lowerCamelCase   : List[Any]								=load_json(__lowercase   )
				lowerCamelCase   : Optional[int]								={v: k for k, v in self.encoder.items()}
				lowerCamelCase   : List[Any]								=spm_file
				lowerCamelCase   : str								=load_spm(__lowercase			,     self.sp_model_kwargs   )

				lowerCamelCase   : Tuple								=len(self.encoder   )

				lowerCamelCase   : Optional[int]								={
				    self.get_lang_token(__lowercase   ): self.encoder_size + i for i, lang_code in enumerate(__lowercase   )
				}
				lowerCamelCase   : Tuple								={lang_code: self.encoder_size + i for i, lang_code in enumerate(__lowercase   )}
				lowerCamelCase   : Tuple								={v: k for k, v in self.lang_token_to_id.items()}

				lowerCamelCase   : Optional[Any]								=src_lang if src_lang is not None else '''en'''
				lowerCamelCase   : Any								=tgt_lang
				lowerCamelCase   : List[Any]								=self.get_lang_id(self._src_lang   )
				self.set_src_lang_special_tokens(self._src_lang   )

				lowerCamelCase   : Optional[Any]								=num_madeup_words







		@property
		def 			__lowercase   (		self   )				->   int:
				return len(self.encoder   ) + len(self.lang_token_to_id   )







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







		@src_lang.setter
		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Any								=new_src_lang
				self.set_src_lang_special_tokens(self._src_lang   )







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







		def 			__lowercase   (		self			,     __lowercase   )				->   Optional[Any]:
				if token in self.lang_token_to_id:
						return self.lang_token_to_id[token]
				return self.encoder.get(__lowercase			,     self.encoder[self.unk_token]   )







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				if index in self.id_to_lang_token:
						return self.id_to_lang_token[index]
				return self.decoder.get(__lowercase			,     self.unk_token   )







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				lowerCamelCase   : Dict								=[]
				lowerCamelCase   : Dict								=''''''
				for token in tokens:
						# make sure that special tokens are not decoded using sentencepiece model
						if token in self.all_special_tokens:
								out_string += self.sp_model.decode(__lowercase   ) + token
								lowerCamelCase   : str								=[]
						else:
								current_sub_tokens.append(__lowercase   )
				out_string += self.sp_model.decode(__lowercase   )
				return out_string.strip()







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

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

				lowerCamelCase   : int								=[1] * len(self.prefix_tokens   )
				lowerCamelCase   : List[str]								=[1] * len(self.suffix_tokens   )
				if token_ids_a is None:
						return prefix_ones + ([0] * len(__lowercase   )) + suffix_ones
				return prefix_ones + ([0] * len(__lowercase   )) + ([0] * len(__lowercase   )) + suffix_ones







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = 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 			__lowercase   (		self   )				->   Dict:
				lowerCamelCase   : Dict								={self.convert_ids_to_tokens(__lowercase   ): i for i in range(self.vocab_size   )}
				vocab.update(self.added_tokens_encoder   )
				return vocab







		def __getstate__(		self   )				->   Dict:
				lowerCamelCase   : Optional[Any]								=self.__dict__.copy()
				lowerCamelCase   : Union[str, Any]								=None
				return state







		def __setstate__(		self			,     __lowercase   )				->   None:
				lowerCamelCase   : int								=d

				# for backward compatibility
				if not hasattr(self			,     '''sp_model_kwargs'''   ):
						lowerCamelCase   : Optional[int]								={}

				lowerCamelCase   : Optional[Any]								=load_spm(self.spm_file			,     self.sp_model_kwargs   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   Tuple[str]:
				lowerCamelCase   : Optional[Any]								=Path(__lowercase   )
				if not save_dir.is_dir():
						raise OSError(F"{save_directory} should be a directory"   )
				lowerCamelCase   : List[str]								=save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
				)
				lowerCamelCase   : Tuple								=save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
				)

				save_json(self.encoder			,     __lowercase   )

				if os.path.abspath(self.spm_file   ) != os.path.abspath(__lowercase   ) and os.path.isfile(self.spm_file   ):
						copyfile(self.spm_file			,     __lowercase   )
				elif not os.path.isfile(self.spm_file   ):
						with open(__lowercase			,     '''wb'''   ) as fi:
								lowerCamelCase   : List[Any]								=self.sp_model.serialized_model_proto()
								fi.write(__lowercase   )

				return (str(__lowercase   ), str(__lowercase   ))







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = "en"			,     __lowercase = None			,     __lowercase = "ro"			,     **__lowercase			,     )				->   BatchEncoding:
				lowerCamelCase   : Union[str, Any]								=src_lang
				lowerCamelCase   : Optional[int]								=tgt_lang
				self.set_src_lang_special_tokens(self.src_lang   )
				return super().prepare_seqaseq_batch(__lowercase			,     __lowercase			,     **__lowercase   )







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase			,     __lowercase			,     **__lowercase   )				->   Optional[int]:
				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   : List[Any]								=src_lang
				lowerCamelCase   : str								=self(__lowercase			,     add_special_tokens=__lowercase			,     **__lowercase   )
				lowerCamelCase   : Tuple								=self.get_lang_id(__lowercase   )
				lowerCamelCase   : Optional[int]								=tgt_lang_id
				return inputs







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







		def 			__lowercase   (		self   )				->   List[str]:
				self.set_tgt_lang_special_tokens(self.tgt_lang   )







		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Union[str, Any]								=self.get_lang_token(__lowercase   )
				lowerCamelCase   : List[Any]								=self.lang_token_to_id[lang_token]
				lowerCamelCase   : Optional[Any]								=[self.cur_lang_id]
				lowerCamelCase   : Union[str, Any]								=[self.eos_token_id]







		def 			__lowercase   (		self			,     __lowercase   )				->   None:
				lowerCamelCase   : Tuple								=self.get_lang_token(__lowercase   )
				lowerCamelCase   : Tuple								=self.lang_token_to_id[lang_token]
				lowerCamelCase   : List[Any]								=[self.cur_lang_id]
				lowerCamelCase   : Tuple								=[self.eos_token_id]







		def 			__lowercase   (		self			,     __lowercase   )				->   str:
				return self.lang_code_to_token[lang]







		def 			__lowercase   (		self			,     __lowercase   )				->   int:
				lowerCamelCase   : List[str]								=self.get_lang_token(__lowercase   )
				return self.lang_token_to_id[lang_token]


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     sentencepiece.SentencePieceProcessor:
		lowerCamelCase   : List[Any]								=sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_		)
		spm.Load(str(SCREAMING_SNAKE_CASE_		)		)
		return spm


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Union[Dict, List]:
		with open(SCREAMING_SNAKE_CASE_							,       '''r'''		) as f:
				return json.load(SCREAMING_SNAKE_CASE_		)



def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_		)   ->     None:
		with open(SCREAMING_SNAKE_CASE_							,       '''w'''		) as f:
				json.dump(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       indent=2		)

