


'''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


__snake_case											=					logging.get_logger(__name__)

__snake_case											=					'''▁'''

__snake_case											=					{'''vocab_file''': '''sentencepiece.bpe.model'''}

__snake_case											=					{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    }
}

__snake_case											=					{
    '''facebook/xglm-564M''': 2048,
}
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    VOCAB_FILES_NAMES
		_a   			=    PRETRAINED_VOCAB_FILES_MAP
		_a   			=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a   			=    ['input_ids', 'attention_mask']




		def __init__(		self   ,       UpperCamelCase_   ,       UpperCamelCase_="<s>"   ,       UpperCamelCase_="</s>"   ,       UpperCamelCase_="</s>"   ,       UpperCamelCase_="<s>"   ,       UpperCamelCase_="<unk>"   ,       UpperCamelCase_="<pad>"   ,       UpperCamelCase_ = None   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			{} if sp_model_kwargs is None else sp_model_kwargs

							# Compatibility with the original tokenizer
							UpperCamelCase__       :List[str]							 =			7
							UpperCamelCase__       :List[str]							 =			[F'''<madeupword{i}>''' for i in range(self.num_madeup_words							)]

							UpperCamelCase__       :Optional[int]							 =			kwargs.get('''additional_special_tokens'''   ,       []							)
							kwargs["additional_special_tokens"] += [
							    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
							]

							super().__init__(
							    bos_token=UpperCamelCase_   ,       eos_token=UpperCamelCase_   ,       unk_token=UpperCamelCase_   ,       sep_token=UpperCamelCase_   ,       cls_token=UpperCamelCase_   ,       pad_token=UpperCamelCase_   ,       sp_model_kwargs=self.sp_model_kwargs   ,       **UpperCamelCase_   ,       )

							UpperCamelCase__       :Optional[int]							 =			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(str(UpperCamelCase_							)							)
							UpperCamelCase__       :Any							 =			vocab_file

							# Original fairseq vocab and spm vocab must be "aligned":
							# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
							# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
							# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
							# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

							# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
							UpperCamelCase__       :Tuple							 =			1

							# Mimic fairseq token-to-id alignment for the first 4 token
							UpperCamelCase__       :int							 =			{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

							UpperCamelCase__       :Optional[Any]							 =			len(self.sp_model							)
							UpperCamelCase__       :str							 =			{F'''<madeupword{i}>''': sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words							)}
							self.fairseq_tokens_to_ids.update(UpperCamelCase_							)

							UpperCamelCase__       :int							 =			{v: k for k, v in self.fairseq_tokens_to_ids.items()}




		def __getstate__(		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			self.__dict__.copy()
							UpperCamelCase__       :List[Any]							 =			None
							UpperCamelCase__       :List[str]							 =			self.sp_model.serialized_model_proto()
							return state




		def __setstate__(		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			d

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

							UpperCamelCase__       :List[str]							 =			spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.LoadFromSerializedProto(self.sp_model_proto							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None							):

							'''simple docstring'''


							if token_ids_a is None:
												return [self.sep_token_id] + token_ids_a
							UpperCamelCase__       :Optional[int]							 =			[self.sep_token_id]
							return sep + token_ids_a + sep + sep + token_ids_a




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None   ,       UpperCamelCase_ = False							):

							'''simple docstring'''


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

							if token_ids_a is None:
												return [1] + ([0] * len(UpperCamelCase_							))
							return [1] + ([0] * len(UpperCamelCase_							)) + [1, 1] + ([0] * len(UpperCamelCase_							))




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			[self.sep_token_id]

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




		@property
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							return len(self.sp_model							) + self.fairseq_offset + self.num_madeup_words




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			{self.convert_ids_to_tokens(UpperCamelCase_							): i for i in range(self.vocab_size							)}
							vocab.update(self.added_tokens_encoder							)
							return vocab




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


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




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							if token in self.fairseq_tokens_to_ids:
												return self.fairseq_tokens_to_ids[token]
							UpperCamelCase__       :Tuple							 =			self.sp_model.PieceToId(UpperCamelCase_							)

							# Need to return unknown token if the SP model returned 0
							return spm_id + self.fairseq_offset if spm_id else self.unk_token_id




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							if index in self.fairseq_ids_to_tokens:
												return self.fairseq_ids_to_tokens[index]
							return self.sp_model.IdToPiece(index - self.fairseq_offset							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Tuple							 =			''''''.join(UpperCamelCase_							).replace(UpperCamelCase_   ,       ''' '''							).strip()
							return out_string




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_ = None							):

							'''simple docstring'''


							if not os.path.isdir(UpperCamelCase_							):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
												return
							UpperCamelCase__       :Optional[int]							 =			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__       :Union[str, Any]							 =			self.sp_model.serialized_model_proto()
																	fi.write(UpperCamelCase_							)

							return (out_vocab_file,)



'''simple docstring'''
import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar
class        lowercase     (							unittest.TestCase ):

		"""simple docstring"""

		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			logging.get_logger()

							# the current default level is logging.WARNING
							UpperCamelCase__       :List[Any]							 =			logging.get_verbosity()

							logging.set_verbosity_error()
							self.assertEqual(logger.getEffectiveLevel()   ,       logging.get_verbosity()							)

							logging.set_verbosity_warning()
							self.assertEqual(logger.getEffectiveLevel()   ,       logging.get_verbosity()							)

							logging.set_verbosity_info()
							self.assertEqual(logger.getEffectiveLevel()   ,       logging.get_verbosity()							)

							logging.set_verbosity_debug()
							self.assertEqual(logger.getEffectiveLevel()   ,       logging.get_verbosity()							)

							# restore to the original level
							logging.set_verbosity(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Union[str, Any]							 =			logging.get_verbosity()

							UpperCamelCase__       :Union[str, Any]							 =			logging.get_logger('''transformers.models.bart.tokenization_bart'''							)
							UpperCamelCase__       :Optional[Any]							 =			'''Testing 1, 2, 3'''

							# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
							if level_origin <= logging.WARNING:
												with CaptureLogger(UpperCamelCase_							) as cl:
																	logger.warning(UpperCamelCase_							)
												self.assertEqual(cl.out   ,       msg + '''\n'''							)

							# this is setting the level for all of `transformers.*` loggers
							logging.set_verbosity_error()

							# should not be able to log warnings
							with CaptureLogger(UpperCamelCase_							) as cl:
												logger.warning(UpperCamelCase_							)
							self.assertEqual(cl.out   ,       ''''''							)

							# should be able to log warnings again
							logging.set_verbosity_warning()
							with CaptureLogger(UpperCamelCase_							) as cl:
												logger.warning(UpperCamelCase_							)
							self.assertEqual(cl.out   ,       msg + '''\n'''							)

							# restore to the original level
							logging.set_verbosity(UpperCamelCase_							)




		@mockenv(TRANSFORMERS_VERBOSITY='''error'''							)
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							transformers.utils.logging._reset_library_root_logger()
							# this action activates the env var
							UpperCamelCase__       :Tuple							 =			logging.get_logger('''transformers.models.bart.tokenization_bart'''							)

							UpperCamelCase__       :Any							 =			os.getenv('''TRANSFORMERS_VERBOSITY'''   ,       UpperCamelCase_							)
							UpperCamelCase__       :Optional[Any]							 =			logging.log_levels[env_level_str]

							UpperCamelCase__       :int							 =			logging.get_verbosity()
							self.assertEqual(
							    UpperCamelCase_   ,       UpperCamelCase_   ,       F'''TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'''   ,       )

							# restore to the original level
							UpperCamelCase__       :Union[str, Any]							 =			''''''
							transformers.utils.logging._reset_library_root_logger()




		@mockenv(TRANSFORMERS_VERBOSITY='''super-error'''							)
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							transformers.utils.logging._reset_library_root_logger()
							UpperCamelCase__       :Dict							 =			logging.logging.getLogger()
							with CaptureLogger(UpperCamelCase_							) as cl:
												# this action activates the env var
												logging.get_logger('''transformers.models.bart.tokenization_bart'''							)
							self.assertIn('''Unknown option TRANSFORMERS_VERBOSITY=super-error'''   ,       cl.out							)

							# no need to restore as nothing was changed




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							transformers.utils.logging._reset_library_root_logger()

							UpperCamelCase__       :Optional[int]							 =			logging.get_logger('''transformers.models.bart.tokenization_bart'''							)
							UpperCamelCase__       :int							 =			'''Testing 1, 2, 3'''

							with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS='''1'''							):
												# nothing should be logged as env var disables this method
												with CaptureLogger(UpperCamelCase_							) as cl:
																	logger.warning_advice(UpperCamelCase_							)
												self.assertEqual(cl.out   ,       ''''''							)

							with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''''''							):
												# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
												with CaptureLogger(UpperCamelCase_							) as cl:
																	logger.warning_advice(UpperCamelCase_							)
												self.assertEqual(cl.out   ,       msg + '''\n'''							)



def       a				(      )  ->     str:



					'''simple docstring'''






					disable_progress_bar()
					assert are_progress_bars_disabled()

					enable_progress_bar()
					assert not are_progress_bars_disabled()