


'''simple docstring'''
import logging
import os
import threading
import time


try:
  import warnings
except ImportError:
  UpperCamelCase__    					=      None

try:
  import msvcrt
except ImportError:
  UpperCamelCase__    					=      None

try:
  import fcntl
except ImportError:
  UpperCamelCase__    					=      None


# Backward compatibility
# ------------------------------------------------
try:
  TimeoutError
except NameError:
  UpperCamelCase__    					=      OSError


# Data
# ------------------------------------------------
UpperCamelCase__    					=      [
    '''Timeout''',
    '''BaseFileLock''',
    '''WindowsFileLock''',
    '''UnixFileLock''',
    '''SoftFileLock''',
    '''FileLock''',
]

UpperCamelCase__    					=      '''3.0.12'''


UpperCamelCase__    					=      None





def 					a__       (					)    ->	str:
    global _logger
    UpperCAmelCase__			:		Union[str, Any]													=				_logger or logging.getLogger(__name__						)
    return _logger




class 			lowerCamelCase_   (	__a      ):






      def __init__(					self				:    List[Any]						,						_A				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				lock_file
          return None






      def __str__(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				f"""The file lock '{self.lock_file}' could not be acquired."""
          return temp




class 			lowerCamelCase_   :






      def __init__(					self				:    Tuple						,						_A				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				lock
          return None






      def __enter__(					self				:    int ):


          '''simple docstring'''


          return self.lock






      def __exit__(					self				:    str						,						_A				:    List[str]						,						_A				:    List[Any]						,						_A				:    Any ):


          '''simple docstring'''


          self.lock.release()
          return None




class 			lowerCamelCase_   :






      def __init__(					self				:    Tuple						,						_A				:    Any						,						_A				:    Dict=-1						,						_A				:    Optional[Any]=None ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				max_filename_length if max_filename_length is not None else 255
          # Hash the filename if it's too long
          UpperCAmelCase__			:		Union[str, Any]													=				self.hash_filename_if_too_long(_A						,						_A )
          # The path to the lock file.
          UpperCAmelCase__			:		Optional[int]													=				lock_file

          # The file descriptor for the *_lock_file* as it is returned by the
          # os.open() function.
          # This file lock is only NOT None, if the object currently holds the
          # lock.
          UpperCAmelCase__			:		Tuple													=				None

          # The default timeout value.
          UpperCAmelCase__			:		List[Any]													=				timeout

          # We use this lock primarily for the lock counter.
          UpperCAmelCase__			:		Optional[Any]													=				threading.Lock()

          # The lock counter is used for implementing the nested locking
          # mechanism. Whenever the lock is acquired, the counter is increased and
          # the lock is only released, when this value is 0 again.
          UpperCAmelCase__			:		str													=				0
          return None






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


          '''simple docstring'''


          return self._lock_file






      @property
      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          return self._timeout






      @timeout.setter
      def lowercase_							(					self				:    str						,						_A				:    Dict ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				float(_A )
          return None






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          raise NotImplementedError()






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          raise NotImplementedError()






      @property
      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return self._lock_file_fd is not None






      def lowercase_							(					self				:    str						,						_A				:    List[Any]=None						,						_A				:    Optional[Any]=0.0_5 ):


          '''simple docstring'''


          if timeout is None:
              UpperCAmelCase__			:		Union[str, Any]													=				self.timeout

          # Increment the number right at the beginning.
          # We can still undo it, if something fails.
          with self._thread_lock:
              self._lock_counter += 1

          UpperCAmelCase__			:		str													=				id(self )
          UpperCAmelCase__			:		int													=				self._lock_file
          UpperCAmelCase__			:		Optional[int]													=				time.time()
          try:
              while True:
                  with self._thread_lock:
                      if not self.is_locked:
                          logger().debug(f"""Attempting to acquire lock {lock_id} on {lock_filename}""" )
                          self._acquire()

                  if self.is_locked:
                      logger().debug(f"""Lock {lock_id} acquired on {lock_filename}""" )
                      break
                  elif timeout >= 0 and time.time() - start_time > timeout:
                      logger().debug(f"""Timeout on acquiring lock {lock_id} on {lock_filename}""" )
                      raise Timeout(self._lock_file )
                  else:
                      logger().debug(
                          f"""Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ...""" )
                      time.sleep(_A )
          except:  # noqa
              # Something did go wrong, so decrement the counter.
              with self._thread_lock:
                  UpperCAmelCase__			:		Optional[Any]													=				max(0						,						self._lock_counter - 1 )

              raise
          return _Acquire_ReturnProxy(lock=self )






      def lowercase_							(					self				:    int						,						_A				:    Any=False ):


          '''simple docstring'''


          with self._thread_lock:
              if self.is_locked:
                  self._lock_counter -= 1

                  if self._lock_counter == 0 or force:
                      UpperCAmelCase__			:		List[Any]													=				id(self )
                      UpperCAmelCase__			:		Dict													=				self._lock_file

                      logger().debug(f"""Attempting to release lock {lock_id} on {lock_filename}""" )
                      self._release()
                      UpperCAmelCase__			:		List[Any]													=				0
                      logger().debug(f"""Lock {lock_id} released on {lock_filename}""" )

          return None






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


          '''simple docstring'''


          self.acquire()
          return self






      def __exit__(					self				:    Optional[int]						,						_A				:    int						,						_A				:    str						,						_A				:    Any ):


          '''simple docstring'''


          self.release()
          return None






      def __del__(					self				:    Any ):


          '''simple docstring'''


          self.release(force=_A )
          return None






      def lowercase_							(					self				:    List[str]						,						_A				:    str						,						_A				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		str													=				os.path.basename(_A )
          if len(_A ) > max_length and max_length > 0:
              UpperCAmelCase__			:		List[str]													=				os.path.dirname(_A )
              UpperCAmelCase__			:		Optional[Any]													=				str(hash(_A ) )
              UpperCAmelCase__			:		Dict													=				filename[: max_length - len(_A ) - 8] + '''...''' + hashed_filename + '''.lock'''
              return os.path.join(_A						,						_A )
          else:
              return path




class 			lowerCamelCase_   (	__a      ):






      def __init__(					self				:    Tuple						,						_A				:    Optional[int]						,						_A				:    List[str]=-1						,						_A				:    Dict=None ):


          '''simple docstring'''


          from .file_utils import relative_to_absolute_path

          super().__init__(_A						,						timeout=_A						,						max_filename_length=_A )
          UpperCAmelCase__			:		Union[str, Any]													=				'''\\\\?\\''' + relative_to_absolute_path(self.lock_file )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				os.O_RDWR | os.O_CREAT | os.O_TRUNC

          try:
              UpperCAmelCase__			:		Any													=				os.open(self._lock_file						,						_A )
          except OSError:
              pass
          else:
              try:
                  msvcrt.locking(_A						,						msvcrt.LK_NBLCK						,						1 )
              except OSError:
                  os.close(_A )
              else:
                  UpperCAmelCase__			:		str													=				fd
          return None






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self._lock_file_fd
          UpperCAmelCase__			:		Optional[int]													=				None
          msvcrt.locking(_A						,						msvcrt.LK_UNLCK						,						1 )
          os.close(_A )

          try:
              os.remove(self._lock_file )
          # Probably another instance of the application
          # that acquired the file lock.
          except OSError:
              pass
          return None




class 			lowerCamelCase_   (	__a      ):






      def __init__(					self				:    str						,						_A				:    Any						,						_A				:    Any=-1						,						_A				:    List[str]=None ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				os.statvfs(os.path.dirname(_A ) ).f_namemax
          super().__init__(_A						,						timeout=_A						,						max_filename_length=_A )






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				os.O_RDWR | os.O_CREAT | os.O_TRUNC
          UpperCAmelCase__			:		int													=				os.open(self._lock_file						,						_A )

          try:
              fcntl.flock(_A						,						fcntl.LOCK_EX | fcntl.LOCK_NB )
          except OSError:
              os.close(_A )
          else:
              UpperCAmelCase__			:		List[str]													=				fd
          return None






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


          '''simple docstring'''


          UpperCAmelCase__			:		int													=				self._lock_file_fd
          UpperCAmelCase__			:		Optional[int]													=				None
          fcntl.flock(_A						,						fcntl.LOCK_UN )
          os.close(_A )
          return None




class 			lowerCamelCase_   (	__a      ):






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
          try:
              UpperCAmelCase__			:		Optional[Any]													=				os.open(self._lock_file						,						_A )
          except OSError:
              pass
          else:
              UpperCAmelCase__			:		int													=				fd
          return None






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


          '''simple docstring'''


          os.close(self._lock_file_fd )
          UpperCAmelCase__			:		List[str]													=				None

          try:
              os.remove(self._lock_file )
          # The file is already deleted and that's what we want.
          except OSError:
              pass
          return None

UpperCamelCase__    					=      None

if msvcrt:
  UpperCamelCase__    					=      WindowsFileLock
elif fcntl:
  UpperCamelCase__    					=      UnixFileLock
else:
  UpperCamelCase__    					=      SoftFileLock

  if warnings is not None:
    warnings.warn('''only soft file lock is available''')




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

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			lowerCamelCase_   (	__a     ,       unittest.TestCase      ):
      lowerCAmelCase__		     =     LEDTokenizer
      lowerCAmelCase__		     =     LEDTokenizerFast
      lowerCAmelCase__		     =     True






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          super().setUp()
          UpperCAmelCase__			:		List[Any]													=				[
              '''l''',
              '''o''',
              '''w''',
              '''e''',
              '''r''',
              '''s''',
              '''t''',
              '''i''',
              '''d''',
              '''n''',
              '''\u0120''',
              '''\u0120l''',
              '''\u0120n''',
              '''\u0120lo''',
              '''\u0120low''',
              '''er''',
              '''\u0120lowest''',
              '''\u0120newer''',
              '''\u0120wider''',
              '''<unk>''',
          ]
          UpperCAmelCase__			:		Optional[Any]													=				dict(zip(_A						,						range(len(_A ) ) ) )
          UpperCAmelCase__			:		Union[str, Any]													=				['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
          UpperCAmelCase__			:		Any													=				{'''unk_token''': '''<unk>'''}

          UpperCAmelCase__			:		Dict													=				os.path.join(self.tmpdirname						,						VOCAB_FILES_NAMES['''vocab_file'''] )
          UpperCAmelCase__			:		Tuple													=				os.path.join(self.tmpdirname						,						VOCAB_FILES_NAMES['''merges_file'''] )
          with open(self.vocab_file						,						'''w'''						,						encoding='''utf-8''' ) as fp:
              fp.write(json.dumps(_A ) + '''\n''' )
          with open(self.merges_file						,						'''w'''						,						encoding='''utf-8''' ) as fp:
              fp.write('''\n'''.join(_A ) )






      def lowercase_							(					self				:    Optional[int]						,						**_A				:    Any ):


          '''simple docstring'''


          kwargs.update(self.special_tokens_map )
          return self.tokenizer_class.from_pretrained(self.tmpdirname						,						**_A )






      def lowercase_							(					self				:    Union[str, Any]						,						**_A				:    Optional[Any] ):


          '''simple docstring'''


          kwargs.update(self.special_tokens_map )
          return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,						**_A )






      def lowercase_							(					self				:    Tuple						,						_A				:    List[str] ):


          '''simple docstring'''


          return "lower newer", "lower newer"






      @cached_property
      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return LEDTokenizer.from_pretrained('''allenai/led-base-16384''' )






      @cached_property
      def lowercase_							(					self				:    Any ):


          '''simple docstring'''


          return LEDTokenizerFast.from_pretrained('''allenai/led-base-16384''' )






      @require_torch
      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          UpperCAmelCase__			:		Dict													=				[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Union[str, Any]													=				tokenizer(_A						,						max_length=len(_A )						,						padding=_A						,						return_tensors='''pt''' )
              self.assertIsInstance(_A						,						_A )

              self.assertEqual((2, 9)						,						batch.input_ids.shape )
              self.assertEqual((2, 9)						,						batch.attention_mask.shape )
              UpperCAmelCase__			:		int													=				batch.input_ids.tolist()[0]
              self.assertListEqual(_A						,						_A )






      @require_torch
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		List[str]													=				tokenizer(_A						,						padding=_A						,						return_tensors='''pt''' )
              self.assertIn('''input_ids'''						,						_A )
              self.assertIn('''attention_mask'''						,						_A )
              self.assertNotIn('''labels'''						,						_A )
              self.assertNotIn('''decoder_attention_mask'''						,						_A )






      @require_torch
      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				[
              '''Summary of the text.''',
              '''Another summary.''',
          ]
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Optional[Any]													=				tokenizer(text_target=_A						,						max_length=32						,						padding='''max_length'''						,						return_tensors='''pt''' )
              self.assertEqual(32						,						targets['''input_ids'''].shape[1] )






      @require_torch
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Any													=				tokenizer(
                  ['''I am a small frog''' * 1_024, '''I am a small frog''']						,						padding=_A						,						truncation=_A						,						return_tensors='''pt''' )
              self.assertIsInstance(_A						,						_A )
              self.assertEqual(batch.input_ids.shape						,						(2, 5_122) )






      @require_torch
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				['''A long paragraph for summarization.''']
          UpperCAmelCase__			:		List[Any]													=				[
              '''Summary of the text.''',
          ]
          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Optional[Any]													=				tokenizer(_A						,						return_tensors='''pt''' )
              UpperCAmelCase__			:		int													=				tokenizer(text_target=_A						,						return_tensors='''pt''' )
              UpperCAmelCase__			:		str													=				inputs['''input_ids''']
              UpperCAmelCase__			:		Tuple													=				targets['''input_ids''']
              self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item() )
              self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item() )
              self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item() )
              self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item() )






      @require_torch
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase__			:		Tuple													=				['''Summary of the text.''', '''Another summary.''']
              UpperCAmelCase__			:		List[str]													=				[[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

              UpperCAmelCase__			:		List[str]													=				tokenizer(_A						,						padding=_A )
              UpperCAmelCase__			:		str													=				[[0] * len(_A ) for x in encoded_output['''input_ids''']]
              UpperCAmelCase__			:		Any													=				tokenizer.pad(_A )
              self.assertSequenceEqual(outputs['''global_attention_mask''']						,						_A )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          pass






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                  UpperCAmelCase__			:		Optional[int]													=				self.rust_tokenizer_class.from_pretrained(_A						,						**_A )
                  UpperCAmelCase__			:		int													=				self.tokenizer_class.from_pretrained(_A						,						**_A )
                  UpperCAmelCase__			:		Any													=				'''A, <mask> AllenNLP sentence.'''
                  UpperCAmelCase__			:		Dict													=				tokenizer_r.encode_plus(_A						,						add_special_tokens=_A						,						return_token_type_ids=_A )
                  UpperCAmelCase__			:		Optional[int]													=				tokenizer_p.encode_plus(_A						,						add_special_tokens=_A						,						return_token_type_ids=_A )
                  self.assertEqual(sum(tokens_r['''token_type_ids'''] )						,						sum(tokens_p['''token_type_ids'''] ) )
                  self.assertEqual(
                      sum(tokens_r['''attention_mask'''] ) / len(tokens_r['''attention_mask'''] )						,						sum(tokens_p['''attention_mask'''] ) / len(tokens_p['''attention_mask'''] )						,						)

                  UpperCAmelCase__			:		str													=				tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids'''] )
                  UpperCAmelCase__			:		Tuple													=				tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids'''] )
                  self.assertSequenceEqual(tokens_p['''input_ids''']						,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2] )
                  self.assertSequenceEqual(tokens_r['''input_ids''']						,						[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2] )

                  self.assertSequenceEqual(
                      _A						,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''] )
                  self.assertSequenceEqual(
                      _A						,						['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''] )
