



"""simple docstring"""


import tempfile

import torch

from diffusers import IPNDMScheduler

from .test_schedulers import SchedulerCommonTest







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""
						__UpperCamelCase		    =							(IPNDMScheduler,)
						__UpperCamelCase		    =							(("""num_inference_steps""", 50),)






						def      UpperCAmelCase__					( self			:List[str]       ,  **lowercase_			:Optional[Any] )    ->      str:
												UpperCAmelCase					=			{'num_train_timesteps': 10_00}
												config.update(**lowercase_ )
												return config






						def      UpperCAmelCase__					( self			:List[Any]       ,  lowercase_			:int=0       ,  **lowercase_			:Optional[Any] )    ->      Optional[int]:
												UpperCAmelCase					=			dict(self.forward_default_kwargs )
												UpperCAmelCase					=			kwargs.pop('num_inference_steps'       ,  lowercase_ )
												UpperCAmelCase					=			self.dummy_sample
												UpperCAmelCase					=			0.1 * sample
												UpperCAmelCase					=			[residual + 0.2, residual + 0.15, residual + 0.1, residual + 0.05]

												for scheduler_class in self.scheduler_classes:
																		UpperCAmelCase					=			self.get_scheduler_config(**lowercase_ )
																		UpperCAmelCase					=			scheduler_class(**lowercase_ )
																		scheduler.set_timesteps(lowercase_ )
																		# copy over dummy past residuals
																		UpperCAmelCase					=			dummy_past_residuals[:]

																		if time_step is None:
																								UpperCAmelCase					=			scheduler.timesteps[len(scheduler.timesteps ) // 2]

																		with tempfile.TemporaryDirectory() as tmpdirname:
																								scheduler.save_config(lowercase_ )
																								UpperCAmelCase					=			scheduler_class.from_pretrained(lowercase_ )
																								new_scheduler.set_timesteps(lowercase_ )
																								# copy over dummy past residuals
																								UpperCAmelCase					=			dummy_past_residuals[:]

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			new_scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		assert torch.sum(torch.abs(output - new_output ) ) < 1E-5, "Scheduler outputs are not identical"

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			new_scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		assert torch.sum(torch.abs(output - new_output ) ) < 1E-5, "Scheduler outputs are not identical"






						def      UpperCAmelCase__					( self			:Any )    ->      Tuple:
												pass






						def      UpperCAmelCase__					( self			:Tuple       ,  lowercase_			:Optional[int]=0       ,  **lowercase_			:Optional[Any] )    ->      List[str]:
												UpperCAmelCase					=			dict(self.forward_default_kwargs )
												UpperCAmelCase					=			kwargs.pop('num_inference_steps'       ,  lowercase_ )
												UpperCAmelCase					=			self.dummy_sample
												UpperCAmelCase					=			0.1 * sample
												UpperCAmelCase					=			[residual + 0.2, residual + 0.15, residual + 0.1, residual + 0.05]

												for scheduler_class in self.scheduler_classes:
																		UpperCAmelCase					=			self.get_scheduler_config()
																		UpperCAmelCase					=			scheduler_class(**lowercase_ )
																		scheduler.set_timesteps(lowercase_ )

																		# copy over dummy past residuals (must be after setting timesteps)
																		UpperCAmelCase					=			dummy_past_residuals[:]

																		if time_step is None:
																								UpperCAmelCase					=			scheduler.timesteps[len(scheduler.timesteps ) // 2]

																		with tempfile.TemporaryDirectory() as tmpdirname:
																								scheduler.save_config(lowercase_ )
																								UpperCAmelCase					=			scheduler_class.from_pretrained(lowercase_ )
																								# copy over dummy past residuals
																								new_scheduler.set_timesteps(lowercase_ )

																								# copy over dummy past residual (must be after setting timesteps)
																								UpperCAmelCase					=			dummy_past_residuals[:]

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			new_scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		assert torch.sum(torch.abs(output - new_output ) ) < 1E-5, "Scheduler outputs are not identical"

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			new_scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		assert torch.sum(torch.abs(output - new_output ) ) < 1E-5, "Scheduler outputs are not identical"






						def      UpperCAmelCase__					( self			:List[str]       ,  **lowercase_			:Union[str, Any] )    ->      Dict:
												UpperCAmelCase					=			self.scheduler_classes[0]
												UpperCAmelCase					=			self.get_scheduler_config(**lowercase_ )
												UpperCAmelCase					=			scheduler_class(**lowercase_ )

												UpperCAmelCase					=			10
												UpperCAmelCase					=			self.dummy_model()
												UpperCAmelCase					=			self.dummy_sample_deter
												scheduler.set_timesteps(lowercase_ )

												for i, t in enumerate(scheduler.timesteps ):
																		UpperCAmelCase					=			model(lowercase_       ,  lowercase_ )
																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_ ).prev_sample

												for i, t in enumerate(scheduler.timesteps ):
																		UpperCAmelCase					=			model(lowercase_       ,  lowercase_ )
																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_ ).prev_sample

												return sample






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      List[Any]:
												UpperCAmelCase					=			dict(self.forward_default_kwargs )

												UpperCAmelCase					=			kwargs.pop('num_inference_steps'       ,  lowercase_ )

												for scheduler_class in self.scheduler_classes:
																		UpperCAmelCase					=			self.get_scheduler_config()
																		UpperCAmelCase					=			scheduler_class(**lowercase_ )

																		UpperCAmelCase					=			self.dummy_sample
																		UpperCAmelCase					=			0.1 * sample

																		if num_inference_steps is not None and hasattr(lowercase_       ,  'set_timesteps' ):
																								scheduler.set_timesteps(lowercase_ )
																		elif num_inference_steps is not None and not hasattr(lowercase_       ,  'set_timesteps' ):
																								UpperCAmelCase					=			num_inference_steps

																		# copy over dummy past residuals (must be done after set_timesteps)
																		UpperCAmelCase					=			[residual + 0.2, residual + 0.15, residual + 0.1, residual + 0.05]
																		UpperCAmelCase					=			dummy_past_residuals[:]

																		UpperCAmelCase					=			scheduler.timesteps[5]
																		UpperCAmelCase					=			scheduler.timesteps[6]

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		self.assertEqual(output_a.shape       ,  sample.shape )
																		self.assertEqual(output_a.shape       ,  output_a.shape )

																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample
																		UpperCAmelCase					=			scheduler.step(lowercase_       ,  lowercase_       ,  lowercase_       ,  **lowercase_ ).prev_sample

																		self.assertEqual(output_a.shape       ,  sample.shape )
																		self.assertEqual(output_a.shape       ,  output_a.shape )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      List[Any]:
												for timesteps in [1_00, 10_00]:
																		self.check_over_configs(num_train_timesteps=lowercase_       ,  time_step=lowercase_ )






						def      UpperCAmelCase__					( self			:int )    ->      List[str]:
												for t, num_inference_steps in zip([1, 5, 10]       ,  [10, 50, 1_00] ):
																		self.check_over_forward(num_inference_steps=lowercase_       ,  time_step=lowercase_ )






						def      UpperCAmelCase__					( self			:List[str] )    ->      str:
												UpperCAmelCase					=			self.full_loop()
												UpperCAmelCase					=			torch.mean(torch.abs(lowercase_ ) )

												assert abs(result_mean.item() - 2_54_05_29 ) < 10










"""simple docstring"""


import logging
import os
import threading
import time


try:
				import warnings
except ImportError:
				snake_case_    					=	None

try:
				import msvcrt
except ImportError:
				snake_case_    					=	None

try:
				import fcntl
except ImportError:
				snake_case_    					=	None


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


# Data
# ------------------------------------------------
snake_case_    					=	[
    """Timeout""",
    """BaseFileLock""",
    """WindowsFileLock""",
    """UnixFileLock""",
    """SoftFileLock""",
    """FileLock""",
]

snake_case_    					=	"""3.0.12"""


snake_case_    					=	None

def 			_lowerCAmelCase				(       ):
						global _logger
						UpperCAmelCase					=			_logger or logging.getLogger(__name__						)
						return _logger







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






						def __init__( self			:int       ,  lowercase_			:List[Any] )    ->      Optional[int]:
												UpperCAmelCase					=			lock_file
												return None






						def __str__( self			:Dict )    ->      Optional[int]:
												UpperCAmelCase					=			f"""The file lock '{self.lock_file}' could not be acquired."""
												return temp







class 				A_      :



						"""simple docstring"""






						def __init__( self			:List[Any]       ,  lowercase_			:Dict )    ->      Dict:
												UpperCAmelCase					=			lock
												return None






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






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







class 				A_      :



						"""simple docstring"""






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

												# The default timeout value.
												UpperCAmelCase					=			timeout

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






						@property
						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      int:
												return self._lock_file






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






						@timeout.setter
						def      UpperCAmelCase__					( self			:Union[str, Any]       ,  lowercase_			:Any )    ->      Tuple:
												UpperCAmelCase					=			float(lowercase_ )
												return None






						def      UpperCAmelCase__					( self			:Any )    ->      List[str]:
												raise NotImplementedError()






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      List[str]:
												raise NotImplementedError()






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






						def      UpperCAmelCase__					( self			:Union[str, Any]       ,  lowercase_			:Dict=None       ,  lowercase_			:int=0.05 )    ->      Union[str, Any]:
												# Use the default timeout, if no timeout is provided.
												if timeout is None:
																		UpperCAmelCase					=			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					=			id(self )
												UpperCAmelCase					=			self._lock_file
												UpperCAmelCase					=			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:
																								UpperCAmelCase					=			max(0       ,  self._lock_counter - 1 )

																		raise
												return _Acquire_ReturnProxy(lock=self )






						def      UpperCAmelCase__					( self			:Optional[int]       ,  lowercase_			:List[str]=False )    ->      int:
												with self._thread_lock:
																		if self.is_locked:
																								self._lock_counter -= 1

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

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

												return None






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






						def __exit__( self			:Dict       ,  lowercase_			:Optional[int]       ,  lowercase_			:Union[str, Any]       ,  lowercase_			:Union[str, Any] )    ->      Any:
												self.release()
												return None






						def __del__( self			:Any )    ->      int:
												self.release(force=lowercase_ )
												return None






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







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






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

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






						def      UpperCAmelCase__					( self			:List[str] )    ->      str:
												UpperCAmelCase					=			os.O_RDWR | os.O_CREAT | os.O_TRUNC

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






						def      UpperCAmelCase__					( self			:int )    ->      Union[str, Any]:
												UpperCAmelCase					=			self._lock_file_fd
												UpperCAmelCase					=			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_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






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






						def      UpperCAmelCase__					( self			:str )    ->      Dict:
												UpperCAmelCase					=			os.O_RDWR | os.O_CREAT | os.O_TRUNC
												UpperCAmelCase					=			os.open(self._lock_file       ,  lowercase_ )

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






						def      UpperCAmelCase__					( self			:List[Any] )    ->      List[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
												UpperCAmelCase					=			self._lock_file_fd
												UpperCAmelCase					=			None
												fcntl.flock(lowercase_       ,  fcntl.LOCK_UN )
												os.close(lowercase_ )
												return None







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""






						def      UpperCAmelCase__					( self			:List[Any] )    ->      List[str]:
												UpperCAmelCase					=			os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
												try:
																		UpperCAmelCase					=			os.open(self._lock_file       ,  lowercase_ )
												except OSError:
																		pass
												else:
																		UpperCAmelCase					=			fd
												return None






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      List[Any]:
												os.close(self._lock_file_fd )
												UpperCAmelCase					=			None

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


snake_case_    					=	None

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

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





