"""simple docstring"""

import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCAmelCase    	=    logging.get_logger(__name__)


UpperCAmelCase    	=    """▁"""

UpperCAmelCase    	=    {"""vocab_file""": """spiece.model"""}

UpperCAmelCase    	=    {
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    }
}

UpperCAmelCase    	=    {
    """google/reformer-crime-and-punishment""": 524_288,
}







class 	UpperCAmelCase_			(		_lowercase):
							snake_case__								= VOCAB_FILES_NAMES
							snake_case__								= PRETRAINED_VOCAB_FILES_MAP
							snake_case__								= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							snake_case__								= ["input_ids", "attention_mask"]






							def __init__(						self					: Tuple	,		__UpperCamelCase					: Any	,		__UpperCamelCase					: Optional[int]="</s>"	,		__UpperCamelCase					: List[Any]="<unk>"	,		__UpperCamelCase					: Union[str, Any]=[]	,		__UpperCamelCase					: str = None	,		**__UpperCamelCase					: Union[str, Any]	,		)			->			None:
												_UpperCamelCase 		=      {} if sp_model_kwargs is None else sp_model_kwargs

												super().__init__(
												    eos_token=UpperCAmelCase_	,		unk_token=UpperCAmelCase_	,		additional_special_tokens=UpperCAmelCase_	,		sp_model_kwargs=self.sp_model_kwargs	,		**UpperCAmelCase_	,		)

												_UpperCamelCase 		=      vocab_file
												_UpperCamelCase 		=      spm.SentencePieceProcessor(**self.sp_model_kwargs    )
												self.sp_model.Load(UpperCAmelCase_    )






							@property
							def  _UpperCamelCase     (						self					: List[str]    )			->			List[str]:
												return self.sp_model.get_piece_size()






							def  _UpperCamelCase     (						self					: Union[str, Any]    )			->			Dict[str, int]:
												_UpperCamelCase 		=      {self.convert_ids_to_tokens(UpperCAmelCase_    ): i for i in range(self.vocab_size    )}
												vocab.update(self.added_tokens_encoder    )
												return vocab






							def __getstate__(						self					: List[Any]    )			->			int:
												_UpperCamelCase 		=      self.__dict__.copy()
												_UpperCamelCase 		=      None
												return state






							def __setstate__(						self					: Tuple	,		__UpperCamelCase					: List[str]    )			->			Optional[Any]:
												_UpperCamelCase 		=      d

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

												_UpperCamelCase 		=      spm.SentencePieceProcessor(**self.sp_model_kwargs    )
												self.sp_model.Load(self.vocab_file    )






							def  _UpperCamelCase     (						self					: Optional[int]	,		__UpperCamelCase					: Union[str, Any]    )			->			List[str]:
												return self.sp_model.encode(UpperCAmelCase_	,		out_type=UpperCAmelCase_    )






							def  _UpperCamelCase     (						self					: Union[str, Any]	,		__UpperCamelCase					: Optional[int]    )			->			int:
												return self.sp_model.piece_to_id(UpperCAmelCase_    )






							def  _UpperCamelCase     (						self					: int	,		__UpperCamelCase					: str    )			->			Optional[Any]:
												if index < self.sp_model.get_piece_size():
																	_UpperCamelCase 		=      self.sp_model.IdToPiece(UpperCAmelCase_    )
												return token






							def  _UpperCamelCase     (						self					: Dict	,		__UpperCamelCase					: int    )			->			List[str]:
												_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 += self.sp_model.decode(UpperCAmelCase_    ) + token
																						_UpperCamelCase 		=      []
																	else:
																						current_sub_tokens.append(UpperCAmelCase_    )
												out_string += self.sp_model.decode(UpperCAmelCase_    )
												return out_string.strip()






							def  _UpperCamelCase     (						self					: Union[str, Any]	,		__UpperCamelCase					: Optional[int]	,		__UpperCamelCase					: Optional[int] = None    )			->			Tuple[str]:
												if not os.path.isdir(UpperCAmelCase_    ):
																	logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
																	return
												_UpperCamelCase 		=      os.path.join(
												    UpperCAmelCase_	,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

												if os.path.abspath(self.vocab_file    ) != os.path.abspath(UpperCAmelCase_    ) and os.path.isfile(self.vocab_file    ):
																	copyfile(self.vocab_file	,		UpperCAmelCase_    )
												elif not os.path.isfile(self.vocab_file    ):
																	with open(UpperCAmelCase_	,		'''wb'''    ) as fi:
																						_UpperCamelCase 		=      self.sp_model.serialized_model_proto()
																						fi.write(UpperCAmelCase_    )

												return (out_vocab_file,)





'''simple docstring'''





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			(UpperCamelCase		,   unittest.TestCase ):
       lowerCAmelCase__	:str     =       MgpstrTokenizer
       lowerCAmelCase__	:Tuple     =       False
       lowerCAmelCase__	:Any     =       {}
       lowerCAmelCase__	:List[Any]     =       False



       def 				_a   (					self   )	->				Union[str, Any]:
           super().setUp()

           # fmt: off
           lowercase__									=    ["[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
           lowercase__									=    dict(zip(UpperCAmelCase_  ,range(len(UpperCAmelCase_   )   )   )   )

           lowercase__									=    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(UpperCAmelCase_   ) + "\n"   )



       def 				_a   (					self  ,**UpperCAmelCase_   )	->				Any:
           return MgpstrTokenizer.from_pretrained(self.tmpdirname  ,**UpperCAmelCase_   )



       def 				_a   (					self  ,UpperCAmelCase_   )	->				Dict:
           lowercase__									=    "tester"
           lowercase__									=    "tester"
           return input_text, output_text



       @unittest.skip("MGP-STR always lower cases letters."   )
       def 				_a   (					self   )	->				Dict:
           pass



       def 				_a   (					self   )	->				Optional[Any]:
           lowercase__									=    self.get_tokenizers(do_lower_case=UpperCAmelCase_   )
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__									=    "[SPECIAL_TOKEN]"

                   tokenizer.add_special_tokens({"cls_token": special_token}   )
                   lowercase__									=    tokenizer.encode([special_token]  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertEqual(len(UpperCAmelCase_   )  ,1   )

                   lowercase__									=    tokenizer.decode(UpperCAmelCase_  ,skip_special_tokens=UpperCAmelCase_   )
                   self.assertTrue(special_token not in decoded   )



       def 				_a   (					self   )	->				str:
           lowercase__									=    self.get_tokenizers()
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__							,							lowercase__									=    self.get_input_output_texts(UpperCAmelCase_   )

                   lowercase__									=    tokenizer.tokenize(UpperCAmelCase_   )
                   lowercase__									=    tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

                   lowercase__									=    tokenizer.convert_ids_to_tokens(UpperCAmelCase_   )
                   self.assertNotEqual(len(UpperCAmelCase_   )  ,0   )
                   lowercase__									=    tokenizer.decode(UpperCAmelCase_   )
                   self.assertIsInstance(UpperCAmelCase_  ,UpperCAmelCase_   )

                   self.assertEqual(text_a.replace(" "  ,""   )  ,UpperCAmelCase_   )



       @unittest.skip("MGP-STR tokenizer only handles one sequence."   )
       def 				_a   (					self   )	->				Optional[int]:
           pass







       @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"   )
       def 				_a   (					self   )	->				Any:
           pass




