

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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_albert import AlbertTokenizer
else:
		lowerCamelCase      				=     None

lowerCamelCase      				=     logging.get_logger(__name__)
lowerCamelCase      				=     {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase      				=     {
    '''vocab_file''': {
        '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/spiece.model''',
        '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/spiece.model''',
        '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model''',
        '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model''',
        '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/spiece.model''',
        '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/spiece.model''',
        '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model''',
        '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json''',
        '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json''',
        '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json''',
        '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json''',
        '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json''',
        '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json''',
        '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json''',
        '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json''',
    },
}

lowerCamelCase      				=     {
    '''albert-base-v1''': 5_1_2,
    '''albert-large-v1''': 5_1_2,
    '''albert-xlarge-v1''': 5_1_2,
    '''albert-xxlarge-v1''': 5_1_2,
    '''albert-base-v2''': 5_1_2,
    '''albert-large-v2''': 5_1_2,
    '''albert-xlarge-v2''': 5_1_2,
    '''albert-xxlarge-v2''': 5_1_2,
}

lowerCamelCase      				=     '''▁'''





class     snake_case_			(				_a							):


							"""simple docstring"""





							__UpperCAmelCase       =VOCAB_FILES_NAMES
							__UpperCAmelCase       =PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase       =AlbertTokenizer




							def __init__( self					,						_A=None					,						_A=None					,						_A=True					,						_A=True					,						_A=False					,						_A="[CLS]"					,						_A="[SEP]"					,						_A="<unk>"					,						_A="[SEP]"					,						_A="<pad>"					,						_A="[CLS]"					,						_A="[MASK]"					,						**_A					,						):
												# Mask token behave like a normal word, i.e. include the space before it and
												# is included in the raw text, there should be a match in a non-normalized sentence.
												__lowerCAmelCase					=							(
												    AddedToken(_A					,						lstrip=_A					,						rstrip=_A					,						normalized=_A							)
												    if isinstance(_A					,						_A							)
												    else mask_token
												)

												super().__init__(
												    _A					,						tokenizer_file=_A					,						do_lower_case=_A					,						remove_space=_A					,						keep_accents=_A					,						bos_token=_A					,						eos_token=_A					,						unk_token=_A					,						sep_token=_A					,						pad_token=_A					,						cls_token=_A					,						mask_token=_A					,						**_A					,						)

												__lowerCAmelCase					=							do_lower_case
												__lowerCAmelCase					=							remove_space
												__lowerCAmelCase					=							keep_accents
												__lowerCAmelCase					=							vocab_file
												__lowerCAmelCase					=							False if not self.vocab_file else True




							def        A__  ( self					,						_A					,						_A = None							):
												__lowerCAmelCase					=							[self.sep_token_id]
												__lowerCAmelCase					=							[self.cls_token_id]
												if token_ids_a is None:
																	return cls + token_ids_a + sep
												return cls + token_ids_a + sep + token_ids_a + sep




							def        A__  ( self					,						_A					,						_A = None							):
												__lowerCAmelCase					=							[self.sep_token_id]
												__lowerCAmelCase					=							[self.cls_token_id]

												if token_ids_a is None:
																	return len(cls + token_ids_a + sep							) * [0]
												return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]




							def        A__  ( self					,						_A					,						_A = None							):
												if not self.can_save_slow_tokenizer:
																	raise ValueError(
																	    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
																	    'tokenizer.'							)

												if not os.path.isdir(_A							):
																	logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""							)
																	return
												__lowerCAmelCase					=							os.path.join(
												    _A					,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

												if os.path.abspath(self.vocab_file							) != os.path.abspath(_A							):
																	copyfile(self.vocab_file					,						_A							)

												return (out_vocab_file,)









def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					assert x is not None
					assert y is not None

					__lowerCAmelCase					=							len(UpperCAmelCase__      )
					__lowerCAmelCase					=							len(UpperCAmelCase__      )

					# declaring the array for storing the dp values
					__lowerCAmelCase					=							[[0] * (n + 1) for _ in range(m + 1      )]  # noqa: E741

					for i in range(1		,					m + 1      ):
										for j in range(1		,					n + 1      ):
															__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

															__lowerCAmelCase					=							max(l[i - 1][j]		,					l[i][j - 1]		,					l[i - 1][j - 1] + match      )

					__lowerCAmelCase					=							''
					__lowerCAmelCase,	__lowerCAmelCase					=							m, n
					while i > 0 and j > 0:
										__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

										if l[i][j] == l[i - 1][j - 1] + match:
															if match == 1:
																				__lowerCAmelCase					=							x[i - 1] + seq
															i -= 1
															j -= 1
										elif l[i][j] == l[i - 1][j]:
															i -= 1
										else:
															j -= 1

					return l[m][n], seq


if __name__ == "__main__":
		lowerCamelCase      				=     '''AGGTAB'''
		lowerCamelCase      				=     '''GXTXAYB'''
		lowerCamelCase      				=     4
		lowerCamelCase      				=     '''GTAB'''

		lowerCamelCase				,				lowerCamelCase      				=     longest_common_subsequence(a, b)
		print('''len =''', ln, ''', sub-sequence =''', subseq)
		import doctest

		doctest.testmod()






