






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			    =     {'''vocab_file''': '''spiece.model'''}

UpperCamelCase			    =     {
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

UpperCamelCase			    =     {'''bert_for_seq_generation''': 512}



class 				__UpperCAmelCase		(_UpperCAmelCase   ):
			__snake_case    :				Tuple									=							VOCAB_FILES_NAMES
			__snake_case    :				int									=							PRETRAINED_VOCAB_FILES_MAP
			__snake_case    :				str									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__snake_case    :				List[int]									=							[]
			__snake_case    :				int									=							["input_ids", "attention_mask"]







			def __init__(     self:  int				,     UpperCAmelCase_:  List[str]				,     UpperCAmelCase_:  Optional[Any]="<s>"				,     UpperCAmelCase_:  Optional[int]="</s>"				,     UpperCAmelCase_:  Any="<unk>"				,     UpperCAmelCase_:  Any="<pad>"				,     UpperCAmelCase_:  Optional[int]="<::::>"				,     UpperCAmelCase_:  Optional[Dict[str, Any]] = None				,     **UpperCAmelCase_:  Optional[Any]				,     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  {} if sp_model_kwargs is None else sp_model_kwargs

									# Add extra_ids to the special token list
									super().__init__(
									    bos_token=UpperCAmelCase_				,     eos_token=UpperCAmelCase_				,     unk_token=UpperCAmelCase_				,     pad_token=UpperCAmelCase_				,     sep_token=UpperCAmelCase_				,     sp_model_kwargs=self.sp_model_kwargs				,     **UpperCAmelCase_				,     )

									_SCREAMING_SNAKE_CASE     				=  vocab_file

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







			@property
			def 							UpperCamelCase				(     self:  Union[str, Any]					):







									'''simple docstring'''




									return self.sp_model.get_piece_size()







			def 							UpperCamelCase				(     self:  Dict					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  {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:  Dict					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  self.__dict__.copy()
									_SCREAMING_SNAKE_CASE     				=  None
									return state







			def __setstate__(     self:  Any				,     UpperCAmelCase_:  int					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  d

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

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







			def 							UpperCamelCase				(     self:  Optional[Any]				,     UpperCAmelCase_:  str					):







									'''simple docstring'''




									return self.sp_model.encode(UpperCAmelCase_				,     out_type=UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  Union[str, Any]				,     UpperCAmelCase_:  List[str]					):







									'''simple docstring'''




									return self.sp_model.piece_to_id(UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  str				,     UpperCAmelCase_:  Any					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  self.sp_model.IdToPiece(UpperCAmelCase_					)
									return token







			def 							UpperCamelCase				(     self:  Optional[Any]				,     UpperCAmelCase_:  str					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  []
									_SCREAMING_SNAKE_CASE     				=  """"""
									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
																					_SCREAMING_SNAKE_CASE     				=  []
															else:
																					current_sub_tokens.append(UpperCAmelCase_					)
									out_string += self.sp_model.decode(UpperCAmelCase_					)
									return out_string.strip()







			def 							UpperCamelCase				(     self:  Tuple				,     UpperCAmelCase_:  str				,     UpperCAmelCase_:  Optional[str] = None					):







									'''simple docstring'''




									if not os.path.isdir(UpperCAmelCase_					):
															logger.error(F'Vocabulary path ({save_directory}) should be a directory'					)
															return
									_SCREAMING_SNAKE_CASE     				=  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:
																					_SCREAMING_SNAKE_CASE     				=  self.sp_model.serialized_model_proto()
																					fi.write(UpperCAmelCase_					)

									return (out_vocab_file,)









import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 				__UpperCAmelCase		(_UpperCAmelCase	,unittest.TestCase   ):
			__snake_case    :				int									=							TransfoXLTokenizer
			__snake_case    :				Tuple									=							False
			__snake_case    :				List[Any]									=							False







			def 							UpperCamelCase				(     self:  int					):







									'''simple docstring'''




									super().setUp()

									_SCREAMING_SNAKE_CASE     				=  [
									    """<unk>""",
									    """[CLS]""",
									    """[SEP]""",
									    """want""",
									    """unwanted""",
									    """wa""",
									    """un""",
									    """running""",
									    """,""",
									    """low""",
									    """l""",
									]
									_SCREAMING_SNAKE_CASE     				=  os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES["""vocab_file"""]					)
									with open(self.vocab_file				,     """w"""				,     encoding="""utf-8"""					) as vocab_writer:
															vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]					)					)







			def 							UpperCamelCase				(     self:  Any				,     **UpperCAmelCase_:  Optional[Any]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  True
									return TransfoXLTokenizer.from_pretrained(self.tmpdirname				,     **UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  Optional[int]				,     UpperCAmelCase_:  List[str]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  """<unk> UNwanted , running"""
									_SCREAMING_SNAKE_CASE     				=  """<unk> unwanted, running"""
									return input_text, output_text







			def 							UpperCamelCase				(     self:  Union[str, Any]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  TransfoXLTokenizer(vocab_file=self.vocab_file				,     lower_case=UpperCAmelCase_					)

									_SCREAMING_SNAKE_CASE     				=  tokenizer.tokenize("""<unk> UNwanted , running"""					)
									self.assertListEqual(UpperCAmelCase_				,     ["""<unk>""", """unwanted""", """,""", """running"""]					)

									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_					)				,     [0, 4, 8, 7]					)







			def 							UpperCamelCase				(     self:  int					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  TransfoXLTokenizer(lower_case=UpperCAmelCase_					)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """					)				,     ["""hello""", """!""", """how""", """are""", """you""", """?"""]					)







			def 							UpperCamelCase				(     self:  Optional[Any]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  TransfoXLTokenizer(lower_case=UpperCAmelCase_					)

									self.assertListEqual(
									    tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """					)				,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]					)







			def 							UpperCamelCase				(     self:  List[str]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  TransfoXLTokenizer(lower_case=UpperCAmelCase_					)
									_SCREAMING_SNAKE_CASE     				=  """Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
									_SCREAMING_SNAKE_CASE     				=  [
									    """Hello""",
									    """(""",
									    """bracket""",
									    """)""",
									    """and""",
									    """side""",
									    """@-@""",
									    """scrolled""",
									    """[""",
									    """and""",
									    """]""",
									    """Henry""",
									    """'s""",
									    """$""",
									    """5""",
									    """@,@""",
									    """000""",
									    """with""",
									    """3""",
									    """@.@""",
									    """34""",
									    """m""",
									    """.""",
									    """What""",
									    """'s""",
									    """up""",
									    """!""",
									    """?""",
									]

									self.assertListEqual(tokenizer.tokenize(UpperCAmelCase_					)				,     UpperCAmelCase_					)

									self.assertEqual(tokenizer.convert_tokens_to_string(UpperCAmelCase_					)				,     UpperCAmelCase_					)







			def 							UpperCamelCase				(     self:  List[str]					):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE     				=  self.get_tokenizer()
									_SCREAMING_SNAKE_CASE     				=  len(UpperCAmelCase_					)

									tokenizer.add_tokens(["""new1""", """new2"""]					)
									tokenizer.move_added_token("""new1"""				,     1					)

									# Check that moved token is not copied (duplicate)
									self.assertEqual(len(UpperCAmelCase_					)				,     original_len + 2					)
									# Check that token is moved to specified id
									self.assertEqual(tokenizer.encode("""new1"""					)				,     [1]					)
									self.assertEqual(tokenizer.decode([1]					)				,     """new1"""					)

