import logging
import os
import threading
import time


try:
		import warnings
except ImportError:
		SCREAMING_SNAKE_CASE :	Tuple							     =		None

try:
		import msvcrt
except ImportError:
		SCREAMING_SNAKE_CASE :	List[str]							     =		None

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


# Backward compatibility
# ------------------------------------------------
try:
		TimeoutError
except NameError:
		SCREAMING_SNAKE_CASE :	Optional[int]							     =		OSError


# Data
# ------------------------------------------------
SCREAMING_SNAKE_CASE :	int							     =		[
    "Timeout",
    "BaseFileLock",
    "WindowsFileLock",
    "UnixFileLock",
    "SoftFileLock",
    "FileLock",
]

SCREAMING_SNAKE_CASE :	List[str]							     =		"3.0.12"


SCREAMING_SNAKE_CASE :	str							     =		None



def   __A		(			):



	"""simple docstring"""


	global _logger
	__a       =  _logger or logging.getLogger(__name__					)
	return _logger
class    A_ (       _SCREAMING_SNAKE_CASE ):

		def __init__(		self :      int     ,							__SCREAMING_SNAKE_CASE :      str       ):
			__a       =  lock_file
			return None

		def __str__(		self :      List[str]       ):
			__a       =  f"""The file lock \'{self.lock_file}\' could not be acquired."""
			return temp
class    A_ :

		def __init__(		self :      Union[str, Any]     ,							__SCREAMING_SNAKE_CASE :      str       ):
			__a       =  lock
			return None

		def __enter__(		self :      Optional[Any]       ):
			return self.lock

		def __exit__(		self :      Any     ,							__SCREAMING_SNAKE_CASE :      Any     ,							__SCREAMING_SNAKE_CASE :      List[str]     ,							__SCREAMING_SNAKE_CASE :      Any       ):
			self.lock.release()
			return None
class    A_ :

		def __init__(		self :      Optional[Any]     ,							__SCREAMING_SNAKE_CASE :      Optional[Any]     ,							__SCREAMING_SNAKE_CASE :      Dict=-1     ,							__SCREAMING_SNAKE_CASE :      str=None       ):
			__a       =  max_filename_length if max_filename_length is not None else 2_55
			# Hash the filename if it's too long
			__a       =  self.hash_filename_if_too_long(A_     ,							A_       )
			# 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 		_UpperCAmelCase   (		self :      Union[str, Any]       ):
			return self._lock_file

		@property
		def 		_UpperCAmelCase   (		self :      Tuple       ):
			return self._timeout

		@timeout.setter
		def 		_UpperCAmelCase   (		self :      Optional[Any]     ,							__SCREAMING_SNAKE_CASE :      Tuple       ):
			__a       =  float(A_       )
			return None

		def 		_UpperCAmelCase   (		self :      Dict       ):
			raise NotImplementedError()

		def 		_UpperCAmelCase   (		self :      Union[str, Any]       ):
			raise NotImplementedError()

		@property
		def 		_UpperCAmelCase   (		self :      Optional[Any]       ):
			return self._lock_file_fd is not None

		def 		_UpperCAmelCase   (		self :      Any     ,							__SCREAMING_SNAKE_CASE :      Dict=None     ,							__SCREAMING_SNAKE_CASE :      List[Any]=0.05       ):
			# 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(A_       )
			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 		_UpperCAmelCase   (		self :      Union[str, Any]     ,							__SCREAMING_SNAKE_CASE :      Any=False       ):
			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 :      str       ):
			self.acquire()
			return self

		def __exit__(		self :      List[str]     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      List[Any]     ,							__SCREAMING_SNAKE_CASE :      Union[str, Any]       ):
			self.release()
			return None

		def __del__(		self :      Dict       ):
			self.release(force=A_       )
			return None

		def 		_UpperCAmelCase   (		self :      Dict     ,							__SCREAMING_SNAKE_CASE :      Tuple     ,							__SCREAMING_SNAKE_CASE :      Tuple       ):
			__a       =  os.path.basename(A_       )
			if len(A_       ) > max_length and max_length > 0:
				__a       =  os.path.dirname(A_       )
				__a       =  str(hash(A_       )       )
				__a       =  filename[: max_length - len(A_       ) - 8] + "..." + hashed_filename + ".lock"
				return os.path.join(A_     ,							A_       )
			else:
				return path
class    A_ (       _SCREAMING_SNAKE_CASE ):

		def __init__(		self :      str     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      Optional[Any]=-1     ,							__SCREAMING_SNAKE_CASE :      List[str]=None       ):
			from .file_utils import relative_to_absolute_path

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

		def 		_UpperCAmelCase   (		self :      Any       ):
			__a       =  os.O_RDWR | os.O_CREAT | os.O_TRUNC

			try:
				__a       =  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       =  fd
			return None

		def 		_UpperCAmelCase   (		self :      List[Any]       ):
			__a       =  self._lock_file_fd
			__a       =  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    A_ (       _SCREAMING_SNAKE_CASE ):

		def __init__(		self :      str     ,							__SCREAMING_SNAKE_CASE :      Union[str, Any]     ,							__SCREAMING_SNAKE_CASE :      Optional[int]=-1     ,							__SCREAMING_SNAKE_CASE :      Union[str, Any]=None       ):
			__a       =  os.statvfs(os.path.dirname(A_       )       ).f_namemax
			super().__init__(A_     ,							timeout=A_     ,							max_filename_length=A_       )

		def 		_UpperCAmelCase   (		self :      Optional[Any]       ):
			__a       =  os.O_RDWR | os.O_CREAT | os.O_TRUNC
			__a       =  os.open(self._lock_file     ,							A_       )

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

		def 		_UpperCAmelCase   (		self :      Union[str, Any]       ):
			__a       =  self._lock_file_fd
			__a       =  None
			fcntl.flock(A_     ,							fcntl.LOCK_UN       )
			os.close(A_       )
			return None
class    A_ (       _SCREAMING_SNAKE_CASE ):

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

		def 		_UpperCAmelCase   (		self :      Union[str, 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
SCREAMING_SNAKE_CASE :	str							     =		None

if msvcrt:
		SCREAMING_SNAKE_CASE :	Tuple							     =		WindowsFileLock
elif fcntl:
		SCREAMING_SNAKE_CASE :	Any							     =		UnixFileLock
else:
		SCREAMING_SNAKE_CASE :	int							     =		SoftFileLock

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



import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class    A_ (       a_			,       a_			,       a_ ):

  @register_to_config
  def __init__(		self :      List[Any]     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      float     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      int     ,							__SCREAMING_SNAKE_CASE :      str     ,							__SCREAMING_SNAKE_CASE :      bool = False     ,							):
   super().__init__()

   __a       =  nn.Embedding(__SCREAMING_SNAKE_CASE     ,							__SCREAMING_SNAKE_CASE       )

   __a       =  nn.Embedding(__SCREAMING_SNAKE_CASE     ,							__SCREAMING_SNAKE_CASE       )
   __a       =  False

   __a       =  nn.Dropout(p=__SCREAMING_SNAKE_CASE       )

   __a       =  TaConfig(
       vocab_size=__SCREAMING_SNAKE_CASE     ,							d_model=__SCREAMING_SNAKE_CASE     ,							num_heads=__SCREAMING_SNAKE_CASE     ,							d_kv=__SCREAMING_SNAKE_CASE     ,							d_ff=__SCREAMING_SNAKE_CASE     ,							dropout_rate=__SCREAMING_SNAKE_CASE     ,							feed_forward_proj=__SCREAMING_SNAKE_CASE     ,							is_decoder=__SCREAMING_SNAKE_CASE     ,							is_encoder_decoder=__SCREAMING_SNAKE_CASE     ,							)

   __a       =  nn.ModuleList()
   for lyr_num in range(__SCREAMING_SNAKE_CASE       ):
    __a       =  TaBlock(__SCREAMING_SNAKE_CASE       )
    self.encoders.append(__SCREAMING_SNAKE_CASE       )

   __a       =  TaLayerNorm(__SCREAMING_SNAKE_CASE       )
   __a       =  nn.Dropout(p=__SCREAMING_SNAKE_CASE       )

  def 		_UpperCAmelCase   (		self :      int     ,							__SCREAMING_SNAKE_CASE :      List[str]     ,							__SCREAMING_SNAKE_CASE :      Any       ):
   __a       =  self.token_embedder(__SCREAMING_SNAKE_CASE       )

   __a       =  encoder_input_tokens.shape[1]
   __a       =  torch.arange(__SCREAMING_SNAKE_CASE     ,							device=encoder_input_tokens.device       )
   x += self.position_encoding(__SCREAMING_SNAKE_CASE       )

   __a       =  self.dropout_pre(__SCREAMING_SNAKE_CASE       )

   # inverted the attention mask
   __a       =  encoder_input_tokens.size()
   __a       =  self.get_extended_attention_mask(__SCREAMING_SNAKE_CASE     ,							__SCREAMING_SNAKE_CASE       )

   for lyr in self.encoders:
    __a       =  lyr(__SCREAMING_SNAKE_CASE     ,							__SCREAMING_SNAKE_CASE       )[0]
   __a       =  self.layer_norm(__SCREAMING_SNAKE_CASE       )

   return self.dropout_post(__SCREAMING_SNAKE_CASE       ), encoder_inputs_mask


