"""simple docstring"""




import logging
import os
import threading
import time


try:
	import warnings
except ImportError:
	lowerCamelCase_    :		Optional[int]							=	None

try:
	import msvcrt
except ImportError:
	lowerCamelCase_    :		List[Any]							=	None

try:
	import fcntl
except ImportError:
	lowerCamelCase_    :		int							=	None


# Backward compatibility
# ------------------------------------------------
try:
	TimeoutError
except NameError:
	lowerCamelCase_    :		str							=	OSError


# Data
# ------------------------------------------------
lowerCamelCase_    :		List[str]							=	[
    """Timeout""",
    """BaseFileLock""",
    """WindowsFileLock""",
    """UnixFileLock""",
    """SoftFileLock""",
    """FileLock""",
]

lowerCamelCase_    :		Union[str, Any]							=	"""3.0.12"""


lowerCamelCase_    :		Optional[int]							=	None
def 							lowerCAmelCase(     ):
					global _logger
					__a		 =       _logger or logging.getLogger(__name__						)
					return _logger


class 						a__							(       lowerCamelCase__		):



			def __init__(						self				,						UpperCAmelCase   )			->   str:
								__a		 =       lock_file
								return None







			def __str__(						self   )			->   Optional[Any]:
								__a		 =       f'''The file lock \'{self.lock_file}\' could not be acquired.'''
								return temp






class 						a__							:



			def __init__(						self				,						UpperCAmelCase   )			->   Optional[int]:
								__a		 =       lock
								return None



			def __enter__(						self   )			->   str:
								return self.lock







			def __exit__(						self				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase   )			->   List[Any]:
								self.lock.release()
								return None






class 						a__							:



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=-1				,						UpperCAmelCase=None   )			->   int:
								__a		 =       max_filename_length if max_filename_length is not None else 2_5_5
								# Hash the filename if it's too long
								__a		 =       self.hash_filename_if_too_long(lowercase__				,						lowercase__   )
								# The path to the lock file.
								__a		 =       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.
								__a		 =       None

								# The default timeout value.
								__a		 =       timeout

								# We use this lock primarily for the lock counter.
								__a		 =       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.
								__a		 =       0
								return None



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								return self._lock_file



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								return self._timeout



			@timeout.setter
			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Union[str, Any]:
								__a		 =       float(lowercase__   )
								return None



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								raise NotImplementedError()



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								raise NotImplementedError()



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								return self._lock_file_fd is not None



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase=None				,						UpperCAmelCase=0.05   )			->   List[Any]:
								# Use the default timeout, if no timeout is provided.
								if timeout is None:
													__a		 =       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

								__a		 =       id(self   )
								__a		 =       self._lock_file
								__a		 =       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(lowercase__   )
								except:  # noqa
													# Something did go wrong, so decrement the counter.
													with self._thread_lock:
																		__a		 =       max(0				,						self._lock_counter - 1   )

													raise
								return _Acquire_ReturnProxy(lock=self   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase=False   )			->   Any:
								with self._thread_lock:
													if self.is_locked:
																		self._lock_counter -= 1

																		if self._lock_counter == 0 or force:
																							__a		 =       id(self   )
																							__a		 =       self._lock_file

																							logger().debug(f'''Attempting to release lock {lock_id} on {lock_filename}'''   )
																							self._release()
																							__a		 =       0
																							logger().debug(f'''Lock {lock_id} released on {lock_filename}'''   )

								return None



			def __enter__(						self   )			->   Any:
								self.acquire()
								return self



			def __exit__(						self				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Union[str, Any]:
								self.release()
								return None



			def __del__(						self   )			->   List[Any]:
								self.release(force=lowercase__   )
								return None







			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase   )			->   Optional[int]:
								__a		 =       os.path.basename(lowercase__   )
								if len(lowercase__   ) > max_length and max_length > 0:
													__a		 =       os.path.dirname(lowercase__   )
													__a		 =       str(hash(lowercase__   )   )
													__a		 =       filename[: max_length - len(lowercase__   ) - 8] + '...' + hashed_filename + '.lock'
													return os.path.join(lowercase__				,						lowercase__   )
								else:
													return path






class 						a__							(       lowerCamelCase__		):



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=-1				,						UpperCAmelCase=None   )			->   Union[str, Any]:
								from .file_utils import relative_to_absolute_path

								super().__init__(lowercase__				,						timeout=lowercase__				,						max_filename_length=lowercase__   )
								__a		 =       '\\\\?\\' + relative_to_absolute_path(self.lock_file   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       os.O_RDWR | os.O_CREAT | os.O_TRUNC

								try:
													__a		 =       os.open(self._lock_file				,						lowercase__   )
								except OSError:
													pass
								else:
													try:
																		msvcrt.locking(lowercase__				,						msvcrt.LK_NBLCK				,						1   )
													except OSError:
																		os.close(lowercase__   )
													else:
																		__a		 =       fd
								return None







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[int]:
								__a		 =       self._lock_file_fd
								__a		 =       None
								msvcrt.locking(lowercase__				,						msvcrt.LK_UNLCK				,						1   )
								os.close(lowercase__   )

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






class 						a__							(       lowerCamelCase__		):



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=-1				,						UpperCAmelCase=None   )			->   str:
								__a		 =       os.statvfs(os.path.dirname(lowercase__   )   ).f_namemax
								super().__init__(lowercase__				,						timeout=lowercase__				,						max_filename_length=lowercase__   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								__a		 =       os.O_RDWR | os.O_CREAT | os.O_TRUNC
								__a		 =       os.open(self._lock_file				,						lowercase__   )

								try:
													fcntl.flock(lowercase__				,						fcntl.LOCK_EX | fcntl.LOCK_NB   )
								except OSError:
													os.close(lowercase__   )
								else:
													__a		 =       fd
								return None







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								# Do not remove the lockfile:
								#
								#   https://github.com/benediktschmitt/py-filelock/issues/31
								#   https://stackoverflow.com/questions/17708885/flock-removing-locked-file-without-race-condition
								__a		 =       self._lock_file_fd
								__a		 =       None
								fcntl.flock(lowercase__				,						fcntl.LOCK_UN   )
								os.close(lowercase__   )
								return None






class 						a__							(       lowerCamelCase__		):



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
								try:
													__a		 =       os.open(self._lock_file				,						lowercase__   )
								except OSError:
													pass
								else:
													__a		 =       fd
								return None







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Any:
								os.close(self._lock_file_fd   )
								__a		 =       None

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






lowerCamelCase_    :		Any							=	None

if msvcrt:
	lowerCamelCase_    :		Optional[int]							=	WindowsFileLock
elif fcntl:
	lowerCamelCase_    :		List[str]							=	UnixFileLock
else:
	lowerCamelCase_    :		Union[str, Any]							=	SoftFileLock

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





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase_    :		Optional[Any]							=	{
    """configuration_roberta_prelayernorm""": [
        """ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """RobertaPreLayerNormConfig""",
        """RobertaPreLayerNormOnnxConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Dict							=	[
	    """ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """RobertaPreLayerNormForCausalLM""",
	    """RobertaPreLayerNormForMaskedLM""",
	    """RobertaPreLayerNormForMultipleChoice""",
	    """RobertaPreLayerNormForQuestionAnswering""",
	    """RobertaPreLayerNormForSequenceClassification""",
	    """RobertaPreLayerNormForTokenClassification""",
	    """RobertaPreLayerNormModel""",
	    """RobertaPreLayerNormPreTrainedModel""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Any							=	[
	    """TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFRobertaPreLayerNormForCausalLM""",
	    """TFRobertaPreLayerNormForMaskedLM""",
	    """TFRobertaPreLayerNormForMultipleChoice""",
	    """TFRobertaPreLayerNormForQuestionAnswering""",
	    """TFRobertaPreLayerNormForSequenceClassification""",
	    """TFRobertaPreLayerNormForTokenClassification""",
	    """TFRobertaPreLayerNormMainLayer""",
	    """TFRobertaPreLayerNormModel""",
	    """TFRobertaPreLayerNormPreTrainedModel""",
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Any							=	[
	    """FlaxRobertaPreLayerNormForCausalLM""",
	    """FlaxRobertaPreLayerNormForMaskedLM""",
	    """FlaxRobertaPreLayerNormForMultipleChoice""",
	    """FlaxRobertaPreLayerNormForQuestionAnswering""",
	    """FlaxRobertaPreLayerNormForSequenceClassification""",
	    """FlaxRobertaPreLayerNormForTokenClassification""",
	    """FlaxRobertaPreLayerNormModel""",
	    """FlaxRobertaPreLayerNormPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_roberta_prelayernorm import (
	    ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    RobertaPreLayerNormConfig,
	    RobertaPreLayerNormOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_roberta_prelayernorm import (
		    ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    RobertaPreLayerNormForCausalLM,
		    RobertaPreLayerNormForMaskedLM,
		    RobertaPreLayerNormForMultipleChoice,
		    RobertaPreLayerNormForQuestionAnswering,
		    RobertaPreLayerNormForSequenceClassification,
		    RobertaPreLayerNormForTokenClassification,
		    RobertaPreLayerNormModel,
		    RobertaPreLayerNormPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_roberta_prelayernorm import (
		    TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFRobertaPreLayerNormForCausalLM,
		    TFRobertaPreLayerNormForMaskedLM,
		    TFRobertaPreLayerNormForMultipleChoice,
		    TFRobertaPreLayerNormForQuestionAnswering,
		    TFRobertaPreLayerNormForSequenceClassification,
		    TFRobertaPreLayerNormForTokenClassification,
		    TFRobertaPreLayerNormMainLayer,
		    TFRobertaPreLayerNormModel,
		    TFRobertaPreLayerNormPreTrainedModel,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_roberta_prelayernorm import (
		    FlaxRobertaPreLayerNormForCausalLM,
		    FlaxRobertaPreLayerNormForMaskedLM,
		    FlaxRobertaPreLayerNormForMultipleChoice,
		    FlaxRobertaPreLayerNormForQuestionAnswering,
		    FlaxRobertaPreLayerNormForSequenceClassification,
		    FlaxRobertaPreLayerNormForTokenClassification,
		    FlaxRobertaPreLayerNormModel,
		    FlaxRobertaPreLayerNormPreTrainedModel,
		)

else:
	import sys

	lowerCamelCase_    :		Optional[int]							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




