"""simple docstring"""







import logging
import os
import threading
import time


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

try:
	import msvcrt
except ImportError:
	_a     :     Dict= None

try:
	import fcntl
except ImportError:
	_a     :     List[Any]= None


# Backward compatibility
# ------------------------------------------------
try:
	TimeoutError
except NameError:
	_a     :     Optional[Any]= OSError


# Data
# ------------------------------------------------
_a     :     int= [
    '''Timeout''',
    '''BaseFileLock''',
    '''WindowsFileLock''',
    '''UnixFileLock''',
    '''SoftFileLock''',
    '''FileLock''',
]

_a     :     Any= '''3.0.12'''


_a     :     List[Any]= None
def   __UpperCAmelCase				(    )							->			Tuple:

	'''simple docstring'''





	global _logger
	__snake_case			:							Dict      		= _logger or logging.getLogger(__name__  )
	return _logger

class 		UpperCamelCase			(    lowerCamelCase_						):



				def __init__(self				:      int	,  _A				:      int)    ->	Union[str, Any]:
					__snake_case			:							Optional[Any]      		= lock_file
					return None






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







class 		UpperCamelCase			:



				def __init__(self				:      int	,  _A				:      str)    ->	int:
					__snake_case			:							str      		= lock
					return None



				def __enter__(self				:      List[str])    ->	Optional[int]:
					return self.lock






				def __exit__(self				:      int	,  _A				:      List[Any]	,  _A				:      Tuple	,  _A				:      Optional[int])    ->	Union[str, Any]:
					self.lock.release()
					return None







class 		UpperCamelCase			:



				def __init__(self				:      Union[str, Any]	,  _A				:      Optional[int]	,  _A				:      Optional[Any]=-1	,  _A				:      Optional[Any]=None)    ->	Tuple:
					__snake_case			:							str      		= max_filename_length if max_filename_length is not None else 2_55
					# Hash the filename if it's too long
					__snake_case			:							Optional[Any]      		= self.hash_filename_if_too_long(__snake_case	,  __snake_case)
					# The path to the lock file.
					__snake_case			:							List[str]      		= 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.
					__snake_case			:							str      		= None

					# The default timeout value.
					__snake_case			:							Optional[int]      		= timeout

					# We use this lock primarily for the lock counter.
					__snake_case			:							str      		= 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.
					__snake_case			:							List[str]      		= 0
					return None



				@property
				def 					_lowercase     (self				:      Any)    ->	Tuple:
					return self._lock_file



				@property
				def 					_lowercase     (self				:      Dict)    ->	Union[str, Any]:
					return self._timeout



				@timeout.setter
				def 					_lowercase     (self				:      str	,  _A				:      List[Any])    ->	Tuple:
					__snake_case			:							Dict      		= float(__snake_case)
					return None



				def 					_lowercase     (self				:      Tuple)    ->	int:
					raise NotImplementedError()



				def 					_lowercase     (self				:      Dict)    ->	Union[str, Any]:
					raise NotImplementedError()



				@property
				def 					_lowercase     (self				:      Union[str, Any])    ->	str:
					return self._lock_file_fd is not None



				def 					_lowercase     (self				:      List[Any]	,  _A				:      Dict=None	,  _A				:      Optional[Any]=0.05)    ->	Any:
					# Use the default timeout, if no timeout is provided.
					if timeout is None:
						__snake_case			:							int      		= 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

					__snake_case			:							Dict      		= id(self)
					__snake_case			:							Optional[int]      		= self._lock_file
					__snake_case			:							List[Any]      		= 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(__snake_case)
					except:  # noqa
						# Something did go wrong, so decrement the counter.
						with self._thread_lock:
							__snake_case			:							Tuple      		= max(0	,  self._lock_counter - 1)

						raise
					return _Acquire_ReturnProxy(lock=self)



				def 					_lowercase     (self				:      List[Any]	,  _A				:      Optional[int]=False)    ->	List[Any]:
					with self._thread_lock:
						if self.is_locked:
							self._lock_counter -= 1

							if self._lock_counter == 0 or force:
								__snake_case			:							List[Any]      		= id(self)
								__snake_case			:							Union[str, Any]      		= self._lock_file

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

					return None



				def __enter__(self				:      List[str])    ->	Optional[Any]:
					self.acquire()
					return self



				def __exit__(self				:      Dict	,  _A				:      int	,  _A				:      Tuple	,  _A				:      Optional[Any])    ->	Any:
					self.release()
					return None



				def __del__(self				:      Union[str, Any])    ->	Optional[Any]:
					self.release(force=__snake_case)
					return None






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







class 		UpperCamelCase			(    lowerCamelCase_						):



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

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



				def 					_lowercase     (self				:      Tuple)    ->	Dict:
					__snake_case			:							Tuple      		= os.O_RDWR | os.O_CREAT | os.O_TRUNC

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






				def 					_lowercase     (self				:      Optional[Any])    ->	Any:
					__snake_case			:							List[Any]      		= self._lock_file_fd
					__snake_case			:							List[Any]      		= None
					msvcrt.locking(__snake_case	,  msvcrt.LK_UNLCK	,  1)
					os.close(__snake_case)

					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_						):



				def __init__(self				:      Optional[int]	,  _A				:      Optional[int]	,  _A				:      Union[str, Any]=-1	,  _A				:      List[str]=None)    ->	str:
					__snake_case			:							Union[str, Any]      		= os.statvfs(os.path.dirname(__snake_case)).f_namemax
					super().__init__(__snake_case	,  timeout=__snake_case	,  max_filename_length=__snake_case)



				def 					_lowercase     (self				:      Any)    ->	str:
					__snake_case			:							Any      		= os.O_RDWR | os.O_CREAT | os.O_TRUNC
					__snake_case			:							Optional[int]      		= os.open(self._lock_file	,  __snake_case)

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






				def 					_lowercase     (self				:      Optional[int])    ->	int:
					# 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
					__snake_case			:							Optional[int]      		= self._lock_file_fd
					__snake_case			:							Tuple      		= None
					fcntl.flock(__snake_case	,  fcntl.LOCK_UN)
					os.close(__snake_case)
					return None







class 		UpperCamelCase			(    lowerCamelCase_						):



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






				def 					_lowercase     (self				:      Optional[int])    ->	Tuple:
					os.close(self._lock_file_fd)
					__snake_case			:							Optional[Any]      		= None

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







_a     :     Any= None

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

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









import json
import os
import subprocess
import unittest
from ast import literal_eval

import pytest
from parameterized import parameterized_class

from . import is_sagemaker_available


if is_sagemaker_available():
						from sagemaker import Session, TrainingJobAnalytics
						from sagemaker.huggingface import HuggingFace







@pytest.mark.skipif(
    literal_eval(os.getenv('''TEST_SAGEMAKER'''	,						'''False'''      )      ) is not True	,						reason='''Skipping test because should only be run when releasing minor transformers version'''	,						)
@pytest.mark.usefixtures('''sm_env'''      )
@parameterized_class(
    [
        {
            '''framework''': '''pytorch''',
            '''script''': '''run_glue.py''',
            '''model_name_or_path''': '''distilbert-base-cased''',
            '''instance_type''': '''ml.g4dn.xlarge''',
            '''results''': {'''train_runtime''': 6_5_0, '''eval_accuracy''': 0.6, '''eval_loss''': 0.9},
        },
        {
            '''framework''': '''tensorflow''',
            '''script''': '''run_tf.py''',
            '''model_name_or_path''': '''distilbert-base-cased''',
            '''instance_type''': '''ml.g4dn.xlarge''',
            '''results''': {'''train_runtime''': 6_0_0, '''eval_accuracy''': 0.3, '''eval_loss''': 0.9},
        },
    ]      )
class        snake_case_   (unittest.TestCase      ):
					def  lowerCamelCase__(      self   :Dict      )					->    Union[str, Any]:
												if self.framework == "pytorch":
																			subprocess.run(
																			    F'cp ./examples/pytorch/text-classification/run_glue.py {self.env.test_path}/run_glue.py'.split()			,encoding='utf-8'			,check=__snake_case			,)
												assert hasattr(self			,'env'      )
					def  lowerCamelCase__(      self   :List[Any]			,__snake_case   :Optional[Any]=1      )					->    int:
												# creates estimator
												return HuggingFace(
												    entry_point=self.script			,source_dir=self.env.test_path			,role=self.env.role			,image_uri=self.env.image_uri			,base_job_name=F'{self.env.base_job_name}-single'			,instance_count=__snake_case			,instance_type=self.instance_type			,debugger_hook_config=__snake_case			,hyperparameters={**self.env.hyperparameters, 'model_name_or_path': self.model_name_or_path}			,metric_definitions=self.env.metric_definitions			,py_version='py36'			,)
					def  lowerCamelCase__(      self   :Dict			,__snake_case   :str      )					->    Optional[int]:
												TrainingJobAnalytics(__snake_case      ).export_csv(F'{self.env.test_path}/{job_name}_metrics.csv'      )



					def  lowerCamelCase__(      self   :Tuple      )					->    Union[str, Any]:
												# create estimator
												a__             =     self.create_estimator()

												# run training
												estimator.fit()

												# result dataframe
												a__             =     TrainingJobAnalytics(estimator.latest_training_job.name      ).dataframe()

												# extract kpis
												a__             =     list(result_metrics_df[result_metrics_df.metric_name == 'eval_accuracy']['value']      )
												a__             =     list(result_metrics_df[result_metrics_df.metric_name == 'eval_loss']['value']      )
												# get train time from SageMaker job, this includes starting, preprocessing, stopping
												a__             =     (
												    Session().describe_training_job(estimator.latest_training_job.name      ).get('TrainingTimeInSeconds'			,99_99_99      )
												)

												# assert kpis
												assert train_runtime <= self.results["train_runtime"]
												assert all(t >= self.results['eval_accuracy'] for t in eval_accuracy      )
												assert all(t <= self.results['eval_loss'] for t in eval_loss      )

												# dump tests result into json file to share in PR
												with open(F'{estimator.latest_training_job.name}.json'			,'w'      ) as outfile:
																			json.dump({'train_time': train_runtime, 'eval_accuracy': eval_accuracy, 'eval_loss': eval_loss}			,__snake_case      )




