


'''simple docstring'''



import logging
import os
import threading
import time


try:
	import warnings
except ImportError:
	__lowercase     :						Optional[Any]	=     None

try:
	import msvcrt
except ImportError:
	__lowercase     :						int	=     None

try:
	import fcntl
except ImportError:
	__lowercase     :						Optional[int]	=     None


# Backward compatibility
# ------------------------------------------------
try:
	TimeoutError
except NameError:
	__lowercase     :						int	=     OSError


# Data
# ------------------------------------------------
__lowercase     :						Any	=     [
    'Timeout',
    'BaseFileLock',
    'WindowsFileLock',
    'UnixFileLock',
    'SoftFileLock',
    'FileLock',
]

__lowercase     :						Optional[Any]	=     '3.0.12'


__lowercase     :						Any	=     None






def   lowerCamelCase							():
					global _logger
					__a      :	List[Any]    =  _logger or logging.getLogger(__name__       )
					return _logger





class 							__UpperCamelCase    (		lowerCAmelCase_ ):






	"""simple docstring"""




	def __init__(       self						,    __a							):

						'''simple docstring'''





						__a      :	Tuple    =  lock_file
						return None





	def __str__(       self							):

						'''simple docstring'''





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





class 							__UpperCamelCase    :






	"""simple docstring"""




	def __init__(       self						,    __a							):

						'''simple docstring'''





						__a      :	Dict    =  lock
						return None




	def __enter__(       self							):

						'''simple docstring'''





						return self.lock





	def __exit__(       self						,    __a						,    __a						,    __a							):

						'''simple docstring'''





						self.lock.release()
						return None





class 							__UpperCamelCase    :






	"""simple docstring"""




	def __init__(       self						,    __a						,    __a=-1						,    __a=None							):

						'''simple docstring'''





						__a      :	int    =  max_filename_length if max_filename_length is not None else 255
						# Hash the filename if it's too long
						__a      :	str    =  self.hash_filename_if_too_long(__a						,    __a							)
						# The path to the lock file.
						__a      :	Dict    =  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      :	List[str]    =  None

						# The default timeout value.
						__a      :	Union[str, Any]    =  timeout

						# We use this lock primarily for the lock counter.
						__a      :	int    =  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      :	Union[str, Any]    =  0
						return None




	@property
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						return self._lock_file




	@property
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						return self._timeout




	@timeout.setter
	def 				__UpperCAmelCase							(       self						,    __a							):

						'''simple docstring'''





						__a      :	int    =  float(__a							)
						return None




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						raise NotImplementedError()




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						raise NotImplementedError()




	@property
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						return self._lock_file_fd is not None




	def 				__UpperCAmelCase							(       self						,    __a=None						,    __a=0.05							):

						'''simple docstring'''





						if timeout is None:
											__a      :	Dict    =  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      :	List[str]    =  id(self							)
						__a      :	Optional[Any]    =  self._lock_file
						__a      :	List[str]    =  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:
																__a      :	Union[str, Any]    =  max(0						,    self._lock_counter - 1							)

											raise
						return _Acquire_ReturnProxy(lock=self							)




	def 				__UpperCAmelCase							(       self						,    __a=False							):

						'''simple docstring'''





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

																if self._lock_counter == 0 or force:
																					__a      :	List[str]    =  id(self							)
																					__a      :	Tuple    =  self._lock_file

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

						return None




	def __enter__(       self							):

						'''simple docstring'''





						self.acquire()
						return self




	def __exit__(       self						,    __a						,    __a						,    __a							):

						'''simple docstring'''





						self.release()
						return None




	def __del__(       self							):

						'''simple docstring'''





						self.release(force=__a							)
						return None





	def 				__UpperCAmelCase							(       self						,    __a						,    __a							):

						'''simple docstring'''





						__a      :	str    =  os.path.basename(__a							)
						if len(__a							) > max_length and max_length > 0:
											__a      :	Tuple    =  os.path.dirname(__a							)
											__a      :	Tuple    =  str(hash(__a							)							)
											__a      :	Tuple    =  filename[: max_length - len(__a							) - 8] + '...' + hashed_filename + '.lock'
											return os.path.join(__a						,    __a							)
						else:
											return path





class 							__UpperCamelCase    (		lowerCAmelCase_ ):






	"""simple docstring"""




	def __init__(       self						,    __a						,    __a=-1						,    __a=None							):

						'''simple docstring'''





						from .file_utils import relative_to_absolute_path

						super().__init__(__a						,    timeout=__a						,    max_filename_length=__a							)
						__a      :	List[Any]    =  '\\\\?\\' + relative_to_absolute_path(self.lock_file							)




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	List[Any]    =  os.O_RDWR | os.O_CREAT | os.O_TRUNC

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





	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	Optional[Any]    =  self._lock_file_fd
						__a      :	List[str]    =  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 							__UpperCamelCase    (		lowerCAmelCase_ ):






	"""simple docstring"""




	def __init__(       self						,    __a						,    __a=-1						,    __a=None							):

						'''simple docstring'''





						__a      :	Optional[int]    =  os.statvfs(os.path.dirname(__a							)							).f_namemax
						super().__init__(__a						,    timeout=__a						,    max_filename_length=__a							)




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





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

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





	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						__a      :	List[Any]    =  self._lock_file_fd
						__a      :	Union[str, Any]    =  None
						fcntl.flock(__a						,    fcntl.LOCK_UN							)
						os.close(__a							)
						return None





class 							__UpperCamelCase    (		lowerCAmelCase_ ):






	"""simple docstring"""




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





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





	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						os.close(self._lock_file_fd							)
						__a      :	Tuple    =  None

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



__lowercase     :						int	=     None

if msvcrt:
	__lowercase     :						Optional[int]	=     WindowsFileLock
elif fcntl:
	__lowercase     :						Dict	=     UnixFileLock
else:
	__lowercase     :						str	=     SoftFileLock

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







'''simple docstring'''



from dataclasses import dataclass
from typing import Optional, Tuple

import torch
from torch import nn
from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
from transformers.utils import ModelOutput





@dataclass
class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   None
	A_           =   None
	A_           =   None
	A_           =   None





class 							__UpperCamelCase    (		lowerCAmelCase_ ):




	def __init__(       self						,    __a=1						,    __a=0						,    __a=2						,    __a=512						,    __a="cls"						,    __a=False						,    __a=True						,    **__a						,    ):

						'''simple docstring'''





						super().__init__(pad_token_id=__a						,    bos_token_id=__a						,    eos_token_id=__a						,    **__a							)
						__a      :	Any    =  project_dim
						__a      :	Optional[Any]    =  pooler_fn
						__a      :	int    =  learn_encoder
						__a      :	str    =  use_attention_mask





class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   [r"pooler", r"logit_scale"]
	A_           =   [r"position_ids", r"predictions.decoder.bias"]
	A_           =   "roberta"
	A_           =   RobertaSeriesConfig




	def __init__(       self						,    __a							):

						'''simple docstring'''





						super().__init__(__a							)
						__a      :	Optional[Any]    =  XLMRobertaModel(__a							)
						__a      :	str    =  nn.Linear(config.hidden_size						,    config.project_dim							)
						__a      :	Optional[int]    =  getattr(__a						,    'has_pre_transformation'						,    __a							)
						if self.has_pre_transformation:
											__a      :	int    =  nn.Linear(config.hidden_size						,    config.project_dim							)
											__a      :	List[str]    =  nn.LayerNorm(config.hidden_size						,    eps=config.layer_norm_eps							)
						self.post_init()





	def 				__UpperCAmelCase							(       self						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    __a = None						,    ):

						'''simple docstring'''





						__a      :	Optional[Any]    =  return_dict if return_dict is not None else self.config.use_return_dict

						__a      :	Tuple    =  self.base_model(
						    input_ids=__a						,    attention_mask=__a						,    token_type_ids=__a						,    position_ids=__a						,    head_mask=__a						,    inputs_embeds=__a						,    encoder_hidden_states=__a						,    encoder_attention_mask=__a						,    output_attentions=__a						,    output_hidden_states=True if self.has_pre_transformation else output_hidden_states						,    return_dict=__a						,    )

						if self.has_pre_transformation:
											__a      :	Optional[Any]    =  outputs['hidden_states'][-2]
											__a      :	Optional[int]    =  self.pre_LN(__a							)
											__a      :	Union[str, Any]    =  self.transformation_pre(__a							)

											return TransformationModelOutput(
											    projection_state=__a						,    last_hidden_state=outputs.last_hidden_state						,    hidden_states=outputs.hidden_states						,    attentions=outputs.attentions						,    )
						else:
											__a      :	Optional[Any]    =  self.transformation(outputs.last_hidden_state							)
											return TransformationModelOutput(
											    projection_state=__a						,    last_hidden_state=outputs.last_hidden_state						,    hidden_states=outputs.hidden_states						,    attentions=outputs.attentions						,    )



