import functools
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

import huggingface_hub.utils as hf_hub_utils
from tqdm import auto as tqdm_lib


SCREAMING_SNAKE_CASE__		:					str						=					threading.Lock()
SCREAMING_SNAKE_CASE__		:					Optional[logging.Handler]						=					None

SCREAMING_SNAKE_CASE__		:					List[Any]						=					{
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'critical': logging.CRITICAL,
}

SCREAMING_SNAKE_CASE__		:					str						=					logging.WARNING

SCREAMING_SNAKE_CASE__		:					Dict						=					True







def     _a				(      ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				List[str]			=		os.getenv('TRANSFORMERS_VERBOSITY'     ,  _lowerCAmelCase )
					if env_level_str:
										if env_level_str in log_levels:
															return log_levels[env_level_str]
										else:
															logging.getLogger().warning(
															    f'''Unknown option TRANSFORMERS_VERBOSITY={env_level_str}, '''
															    f'''has to be one of: { ', '.join(log_levels.keys() ) }''' )
					return _default_log_level







def     _a				(      ):







					'''simple docstring'''


					return __name__.split('.' )[0]







def     _a				(      ):







					'''simple docstring'''


					return logging.getLogger(_get_library_name() )







def     _a				(      ):







					'''simple docstring'''


					global _default_handler

					with _lock:
										if _default_handler:
															# This library has already configured the library root logger.
															return
										SCREAMING_SNAKE_CASE__				:				Optional[int]			=		logging.StreamHandler()  # Set sys.stderr as stream.
										SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		sys.stderr.flush

										# Apply our default configuration to the library root logger.
										SCREAMING_SNAKE_CASE__				:				List[str]			=		_get_library_root_logger()
										library_root_logger.addHandler(_default_handler )
										library_root_logger.setLevel(_get_default_logging_level() )
										SCREAMING_SNAKE_CASE__				:				Tuple			=		False







def     _a				(      ):







					'''simple docstring'''


					global _default_handler

					with _lock:
										if not _default_handler:
															return

										SCREAMING_SNAKE_CASE__				:				str			=		_get_library_root_logger()
										library_root_logger.removeHandler(_default_handler )
										library_root_logger.setLevel(logging.NOTSET )
										SCREAMING_SNAKE_CASE__				:				int			=		None







def     _a				(      ):







					'''simple docstring'''


					return log_levels







def     _a				(      lowercase__  :			Optional[str] = None ):







					'''simple docstring'''


					if name is None:
										SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		_get_library_name()

					_configure_library_root_logger()
					return logging.getLogger(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					_configure_library_root_logger()
					return _get_library_root_logger().getEffectiveLevel()







def     _a				(      lowercase__  :			int ):







					'''simple docstring'''


					_configure_library_root_logger()
					_get_library_root_logger().setLevel(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					return set_verbosity(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					return set_verbosity(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					return set_verbosity(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					return set_verbosity(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					_configure_library_root_logger()

					assert _default_handler is not None
					_get_library_root_logger().removeHandler(_default_handler )







def     _a				(      ):







					'''simple docstring'''


					_configure_library_root_logger()

					assert _default_handler is not None
					_get_library_root_logger().addHandler(_default_handler )







def     _a				(      lowercase__  :			logging.Handler ):







					'''simple docstring'''


					_configure_library_root_logger()

					assert handler is not None
					_get_library_root_logger().addHandler(_lowerCAmelCase )







def     _a				(      lowercase__  :			logging.Handler ):







					'''simple docstring'''


					_configure_library_root_logger()

					assert handler is not None and handler not in _get_library_root_logger().handlers
					_get_library_root_logger().removeHandler(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					_configure_library_root_logger()
					SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		False







def     _a				(      ):







					'''simple docstring'''


					_configure_library_root_logger()
					SCREAMING_SNAKE_CASE__				:				List[Any]			=		True







def     _a				(      ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		_get_library_root_logger().handlers

					for handler in handlers:
										SCREAMING_SNAKE_CASE__				:				Dict			=		logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s' )
										handler.setFormatter(_lowerCAmelCase )







def     _a				(      ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		_get_library_root_logger().handlers

					for handler in handlers:
										handler.setFormatter(_lowerCAmelCase )







def     _a				(      self  :			List[str]     ,  *lowercase__  :			int     ,  **lowercase__  :			str ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		os.getenv('TRANSFORMERS_NO_ADVISORY_WARNINGS'     ,  _lowerCAmelCase )
					if no_advisory_warnings:
										return
					self.warning(*_lowerCAmelCase     ,  **_lowerCAmelCase )


SCREAMING_SNAKE_CASE__		:					Any						=					warning_advice







@functools.lru_cache(_lowerCAmelCase )
def     _a				(      self  :			Dict     ,  *lowercase__  :			Any     ,  **lowercase__  :			str ):







					'''simple docstring'''


					self.warning(*_lowerCAmelCase     ,  **_lowerCAmelCase )


SCREAMING_SNAKE_CASE__		:					int						=					warning_once

class       snake_case					:




		def __init__(      self     :	Optional[Any]     , *a_     :	List[str]     , **a_     :	Union[str, Any]				)->       List[Any]:  # pylint: disable=unused-argument




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		args[0] if args else None




		def __iter__(      self     :	str				)->       Optional[int]:




							"""simple docstring"""
							return iter(self._iterator				)




		def __getattr__(      self     :	List[Any]     , a_     :	Union[str, Any]				)->       Any:




							"""simple docstring"""

							def empty_fn(*a_     :	Optional[Any]     , **a_     :	Tuple				):  # pylint: disable=unused-argument
												return

							return empty_fn




		def __enter__(      self     :	Any				)->       List[Any]:




							"""simple docstring"""
							return self




		def __exit__(      self     :	Any     , a_     :	List[Any]     , a_     :	Optional[int]     , a_     :	int				)->       List[str]:




							"""simple docstring"""
							return




class       snake_case					:




		def __call__(      self     :	Optional[Any]     , *a_     :	Optional[Any]     , **a_     :	Union[str, Any]				)->       Dict:




							"""simple docstring"""
							if _tqdm_active:
												return tqdm_lib.tqdm(*__A     , **__A				)
							else:
												return EmptyTqdm(*__A     , **__A				)




		def 	__lowercase(      self     :	str     , *a_     :	Tuple     , **a_     :	Optional[int]				)->       str:




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				Any			=		None
							if _tqdm_active:
												return tqdm_lib.tqdm.set_lock(*__A     , **__A				)




		def 	__lowercase(      self     :	Optional[Any]				)->       Optional[int]:




							"""simple docstring"""
							if _tqdm_active:
												return tqdm_lib.tqdm.get_lock()




SCREAMING_SNAKE_CASE__		:					str						=					_tqdm_cls()







def     _a				(      ):







					'''simple docstring'''


					global _tqdm_active
					return bool(_tqdm_active )







def     _a				(      ):







					'''simple docstring'''


					global _tqdm_active
					SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		True
					hf_hub_utils.enable_progress_bars()







def     _a				(      ):







					'''simple docstring'''


					global _tqdm_active
					SCREAMING_SNAKE_CASE__				:				List[Any]			=		False
					hf_hub_utils.disable_progress_bars()




import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE__		:					List[Any]						=					get_tests_dir("fixtures/test_sentencepiece_no_bos.model")

@require_sentencepiece
@require_tokenizers
class       snake_case					(      UpperCamelCase_   ,						unittest.TestCase						):
  lowercase_			=     PegasusTokenizer
  lowercase_			=     PegasusTokenizerFast
  lowercase_			=     True
  lowercase_			=     True




  def 	__lowercase(      self     :	int				)->       List[Any]:




       """simple docstring"""
       super().setUp()

       # We have a SentencePiece fixture for testing
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		PegasusTokenizer(a_				)
       tokenizer.save_pretrained(self.tmpdirname				)




  @cached_property
  def 	__lowercase(      self     :	Optional[Any]				)->       Optional[int]:




       """simple docstring"""
       return PegasusTokenizer.from_pretrained('google/pegasus-large'				)




  def 	__lowercase(      self     :	Any     , **a_     :	Optional[Any]				)->       PegasusTokenizer:




       """simple docstring"""
       return PegasusTokenizer.from_pretrained(self.tmpdirname     , **a_				)




  def 	__lowercase(      self     :	Union[str, Any]     , a_     :	List[Any]				)->       Optional[int]:




       """simple docstring"""
       return ("This is a test", "This is a test")




  def 	__lowercase(      self     :	Optional[int]				)->       Dict:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		'</s>'
       SCREAMING_SNAKE_CASE__				:				Any			=		1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_				)     , a_				)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_				)     , a_				)




  def 	__lowercase(      self     :	Dict				)->       Any:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Any			=		list(self.get_tokenizer().get_vocab().keys()				)

       self.assertEqual(vocab_keys[0]     , '<pad>'				)
       self.assertEqual(vocab_keys[1]     , '</s>'				)
       self.assertEqual(vocab_keys[-1]     , 'v'				)
       self.assertEqual(len(a_				)     , 1103				)




  def 	__lowercase(      self     :	Optional[Any]				)->       List[Any]:




       """simple docstring"""
       self.assertEqual(self.get_tokenizer().vocab_size     , 1103				)




  def 	__lowercase(      self     :	List[Any]				)->       Union[str, Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		self.rust_tokenizer_class.from_pretrained(self.tmpdirname				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		self.tokenizer_class.from_pretrained(self.tmpdirname				)
       SCREAMING_SNAKE_CASE__				:				Tuple			=		(
           'Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'
           ' </s> <pad> <pad> <pad>'
       )
       SCREAMING_SNAKE_CASE__				:				List[str]			=		rust_tokenizer([raw_input_str]     , return_tensors=a_     , add_special_tokens=a_				).input_ids[0]
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		py_tokenizer([raw_input_str]     , return_tensors=a_     , add_special_tokens=a_				).input_ids[0]
       self.assertListEqual(a_     , a_				)




  def 	__lowercase(      self     :	Any				)->       Optional[int]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		self._large_tokenizer
       # <mask_1> masks whole sentence while <mask_2> masks single word
       SCREAMING_SNAKE_CASE__				:				Any			=		'<mask_1> To ensure a <mask_2> flow of bank resolutions.'
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		[2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		tokenizer([raw_input_str]     , return_tensors=a_				).input_ids[0]
       self.assertListEqual(a_     , a_				)




  def 	__lowercase(      self     :	int				)->       int:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Any			=		self._large_tokenizer
       # The tracebacks for the following asserts are **better** without messages or self.assertEqual
       assert tokenizer.vocab_size == 9_6103
       assert tokenizer.pad_token_id == 0
       assert tokenizer.eos_token_id == 1
       assert tokenizer.offset == 103
       assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
       assert tokenizer.unk_token == "<unk>"
       assert tokenizer.model_max_length == 1024
       SCREAMING_SNAKE_CASE__				:				int			=		'To ensure a smooth flow of bank resolutions.'
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		[413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		tokenizer([raw_input_str]     , return_tensors=a_				).input_ids[0]
       self.assertListEqual(a_     , a_				)
       assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]				) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]




  @require_torch
  def 	__lowercase(      self     :	Union[str, Any]				)->       Optional[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Tuple			=		['This is going to be way too long.' * 150, 'short example']
       SCREAMING_SNAKE_CASE__				:				int			=		['not super long but more than 5 tokens', 'tiny']
       SCREAMING_SNAKE_CASE__				:				int			=		self._large_tokenizer(a_     , padding=a_     , truncation=a_     , return_tensors='pt'				)
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		self._large_tokenizer(
           text_target=a_     , max_length=5     , padding=a_     , truncation=a_     , return_tensors='pt'				)

       assert batch.input_ids.shape == (2, 1024)
       assert batch.attention_mask.shape == (2, 1024)
       assert targets["input_ids"].shape == (2, 5)
       assert len(a_				) == 2  # input_ids, attention_mask.




  @slow
  def 	__lowercase(      self     :	Any				)->       str:




       """simple docstring"""
       # fmt: off
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		{'input_ids': [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=a_     , model_name='google/bigbird-pegasus-large-arxiv'     , revision='ba85d0851d708441f91440d509690f1ab6353415'     , )




@require_sentencepiece
@require_tokenizers
class       snake_case					(      UpperCamelCase_   ,						unittest.TestCase						):
  lowercase_			=     PegasusTokenizer
  lowercase_			=     PegasusTokenizerFast
  lowercase_			=     True
  lowercase_			=     True




  def 	__lowercase(      self     :	Any				)->       Union[str, Any]:




       """simple docstring"""
       super().setUp()

       # We have a SentencePiece fixture for testing
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		PegasusTokenizer(a_     , offset=0     , mask_token_sent=a_     , mask_token='[MASK]'				)
       tokenizer.save_pretrained(self.tmpdirname				)




  @cached_property
  def 	__lowercase(      self     :	Optional[Any]				)->       List[str]:




       """simple docstring"""
       return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'				)




  def 	__lowercase(      self     :	List[str]     , **a_     :	Optional[Any]				)->       PegasusTokenizer:




       """simple docstring"""
       return PegasusTokenizer.from_pretrained(self.tmpdirname     , **a_				)




  def 	__lowercase(      self     :	Optional[Any]     , a_     :	Tuple				)->       str:




       """simple docstring"""
       return ("This is a test", "This is a test")




  def 	__lowercase(      self     :	str				)->       str:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		self.rust_tokenizer_class.from_pretrained(self.tmpdirname				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		self.tokenizer_class.from_pretrained(self.tmpdirname				)
       SCREAMING_SNAKE_CASE__				:				Tuple			=		(
           'Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'
           ' <pad> <pad> <pad>'
       )
       SCREAMING_SNAKE_CASE__				:				str			=		rust_tokenizer([raw_input_str]     , return_tensors=a_     , add_special_tokens=a_				).input_ids[0]
       SCREAMING_SNAKE_CASE__				:				str			=		py_tokenizer([raw_input_str]     , return_tensors=a_     , add_special_tokens=a_				).input_ids[0]
       self.assertListEqual(a_     , a_				)




  @require_torch
  def 	__lowercase(      self     :	List[str]				)->       Union[str, Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		['This is going to be way too long.' * 1000, 'short example']
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		['not super long but more than 5 tokens', 'tiny']
       SCREAMING_SNAKE_CASE__				:				str			=		self._large_tokenizer(a_     , padding=a_     , truncation=a_     , return_tensors='pt'				)
       SCREAMING_SNAKE_CASE__				:				int			=		self._large_tokenizer(
           text_target=a_     , max_length=5     , padding=a_     , truncation=a_     , return_tensors='pt'				)

       assert batch.input_ids.shape == (2, 4096)
       assert batch.attention_mask.shape == (2, 4096)
       assert targets["input_ids"].shape == (2, 5)
       assert len(a_				) == 2  # input_ids, attention_mask.




  def 	__lowercase(      self     :	Dict				)->       str:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		(
           'This is an example string that is used to test the original TF implementation against the HF'
           ' implementation'
       )

       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		self._large_tokenizer(a_				).input_ids

       self.assertListEqual(
           a_     , [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]     , )



