


'''simple docstring'''







import unittest

import numpy as np

from diffusers import LMSDiscreteScheduler, OnnxStableDiffusionInpaintPipeline
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)

from ..test_pipelines_onnx_common import OnnxPipelineTesterMixin


if is_onnx_available():
       import onnxruntime as ort
class 						UpperCamelCase__       (			SCREAMING_SNAKE_CASE_     ,       unittest.TestCase						):



     """simple docstring"""






     pass
@nightly
@require_onnxruntime
@require_torch_gpu
class 						UpperCamelCase__       (			unittest.TestCase						):



     """simple docstring"""






     @property
     def a						(			self ):

            '''simple docstring'''

            return (
                "CUDAExecutionProvider",
                {
                    "gpu_mem_limit": "15000000000",  # 15GB
                    "arena_extend_strategy": "kSameAsRequested",
                },
            )







     @property
     def a						(			self ):

            '''simple docstring'''

            _lowerCAmelCase     :				Optional[Any]       =							ort.SessionOptions()
            _lowerCAmelCase     :				List[Any]       =							False
            return options







     def a						(			self ):

            '''simple docstring'''

            _lowerCAmelCase     :				Optional[int]       =							load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo.png' )
            _lowerCAmelCase     :				Union[str, Any]       =							load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo_mask.png' )
            _lowerCAmelCase     :				Optional[int]       =							OnnxStableDiffusionInpaintPipeline.from_pretrained(
                'runwayml/stable-diffusion-inpainting'   ,						revision='onnx'   ,						safety_checker=UpperCAmelCase_   ,						feature_extractor=UpperCAmelCase_   ,						provider=self.gpu_provider   ,						sess_options=self.gpu_options   ,						)
            pipe.set_progress_bar_config(disable=UpperCAmelCase_ )

            _lowerCAmelCase     :				Optional[Any]       =							'A red cat sitting on a park bench'

            _lowerCAmelCase     :				Any       =							np.random.RandomState(0 )
            _lowerCAmelCase     :				Tuple       =							pipe(
                prompt=UpperCAmelCase_   ,						image=UpperCAmelCase_   ,						mask_image=UpperCAmelCase_   ,						guidance_scale=7.5   ,						num_inference_steps=10   ,						generator=UpperCAmelCase_   ,						output_type='np'   ,						)
            _lowerCAmelCase     :				List[Any]       =							output.images
            _lowerCAmelCase     :				Dict       =							images[0, 255:258, 255:258, -1]

            assert images.shape == (1, 512, 512, 3)
            _lowerCAmelCase     :				Dict       =							np.array([0.2514, 0.3007, 0.3517, 0.1790, 0.2382, 0.3167, 0.1944, 0.2273, 0.2464] )

            assert np.abs(image_slice.flatten() - expected_slice ).max() < 1E-3







     def a						(			self ):

            '''simple docstring'''

            _lowerCAmelCase     :				List[Any]       =							load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo.png' )
            _lowerCAmelCase     :				Union[str, Any]       =							load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo_mask.png' )
            _lowerCAmelCase     :				Any       =							LMSDiscreteScheduler.from_pretrained(
                'runwayml/stable-diffusion-inpainting'   ,						subfolder='scheduler'   ,						revision='onnx' )
            _lowerCAmelCase     :				Dict       =							OnnxStableDiffusionInpaintPipeline.from_pretrained(
                'runwayml/stable-diffusion-inpainting'   ,						revision='onnx'   ,						scheduler=UpperCAmelCase_   ,						safety_checker=UpperCAmelCase_   ,						feature_extractor=UpperCAmelCase_   ,						provider=self.gpu_provider   ,						sess_options=self.gpu_options   ,						)
            pipe.set_progress_bar_config(disable=UpperCAmelCase_ )

            _lowerCAmelCase     :				List[Any]       =							'A red cat sitting on a park bench'

            _lowerCAmelCase     :				str       =							np.random.RandomState(0 )
            _lowerCAmelCase     :				List[str]       =							pipe(
                prompt=UpperCAmelCase_   ,						image=UpperCAmelCase_   ,						mask_image=UpperCAmelCase_   ,						guidance_scale=7.5   ,						num_inference_steps=20   ,						generator=UpperCAmelCase_   ,						output_type='np'   ,						)
            _lowerCAmelCase     :				Any       =							output.images
            _lowerCAmelCase     :				Optional[Any]       =							images[0, 255:258, 255:258, -1]

            assert images.shape == (1, 512, 512, 3)
            _lowerCAmelCase     :				Optional[Any]       =							np.array([0.0086, 0.0077, 0.0083, 0.0093, 0.0107, 0.0139, 0.0094, 0.0097, 0.0125] )

            assert np.abs(image_slice.flatten() - expected_slice ).max() < 1E-3






'''simple docstring'''





import logging
import os
import threading
import time


try:
 import warnings
except ImportError:
 SCREAMING_SNAKE_CASE__          =  None

try:
 import msvcrt
except ImportError:
 SCREAMING_SNAKE_CASE__          =  None

try:
 import fcntl
except ImportError:
 SCREAMING_SNAKE_CASE__          =  None


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


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

SCREAMING_SNAKE_CASE__          =  "3.0.12"


SCREAMING_SNAKE_CASE__          =  None




def 							lowerCamelCase	(					):





    '''simple docstring'''


    global _logger
    lowercase__									=    _logger or logging.getLogger(__name__							)
    return _logger


class 					snake_case			(UpperCamelCase ):



       def __init__(					self  ,UpperCAmelCase_   )	->				int:
           lowercase__									=    lock_file
           return None







       def __str__(					self   )	->				Union[str, Any]:
           lowercase__									=    F'''The file lock \'{self.lock_file}\' could not be acquired.'''
           return temp





class 					snake_case			:



       def __init__(					self  ,UpperCAmelCase_   )	->				List[Any]:
           lowercase__									=    lock
           return None



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







       def __exit__(					self  ,UpperCAmelCase_  ,UpperCAmelCase_  ,UpperCAmelCase_   )	->				int:
           self.lock.release()
           return None





class 					snake_case			:



       def __init__(					self  ,UpperCAmelCase_  ,UpperCAmelCase_=-1  ,UpperCAmelCase_=None   )	->				Tuple:
           lowercase__									=    max_filename_length if max_filename_length is not None else 255
           # Hash the filename if it's too long
           lowercase__									=    self.hash_filename_if_too_long(UpperCAmelCase_  ,UpperCAmelCase_   )
           # The path to the lock file.
           lowercase__									=    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.
           lowercase__									=    None

           # The default timeout value.
           lowercase__									=    timeout

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



       @property
       def 				_a   (					self   )	->				List[str]:
           return self._lock_file



       @property
       def 				_a   (					self   )	->				Optional[int]:
           return self._timeout



       @timeout.setter
       def 				_a   (					self  ,UpperCAmelCase_   )	->				Optional[Any]:
           lowercase__									=    float(UpperCAmelCase_   )
           return None



       def 				_a   (					self   )	->				Optional[Any]:
           raise NotImplementedError()



       def 				_a   (					self   )	->				Optional[int]:
           raise NotImplementedError()



       @property
       def 				_a   (					self   )	->				Dict:
           return self._lock_file_fd is not None



       def 				_a   (					self  ,UpperCAmelCase_=None  ,UpperCAmelCase_=0.05   )	->				Optional[Any]:
           # Use the default timeout, if no timeout is provided.
           if timeout is None:
               lowercase__									=    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

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

               raise
           return _Acquire_ReturnProxy(lock=self   )



       def 				_a   (					self  ,UpperCAmelCase_=False   )	->				List[Any]:
           with self._thread_lock:
               if self.is_locked:
                   self._lock_counter -= 1

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

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

           return None



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



       def __exit__(					self  ,UpperCAmelCase_  ,UpperCAmelCase_  ,UpperCAmelCase_   )	->				int:
           self.release()
           return None



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







       def 				_a   (					self  ,UpperCAmelCase_  ,UpperCAmelCase_   )	->				str:
           lowercase__									=    os.path.basename(UpperCAmelCase_   )
           if len(UpperCAmelCase_   ) > max_length and max_length > 0:
               lowercase__									=    os.path.dirname(UpperCAmelCase_   )
               lowercase__									=    str(hash(UpperCAmelCase_   )   )
               lowercase__									=    filename[: max_length - len(UpperCAmelCase_   ) - 8] + "..." + hashed_filename + ".lock"
               return os.path.join(UpperCAmelCase_  ,UpperCAmelCase_   )
           else:
               return path





class 					snake_case			(UpperCamelCase ):



       def __init__(					self  ,UpperCAmelCase_  ,UpperCAmelCase_=-1  ,UpperCAmelCase_=None   )	->				Dict:
           from .file_utils import relative_to_absolute_path

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



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

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







       def 				_a   (					self   )	->				Any:
           lowercase__									=    self._lock_file_fd
           lowercase__									=    None
           msvcrt.locking(UpperCAmelCase_  ,msvcrt.LK_UNLCK  ,1   )
           os.close(UpperCAmelCase_   )

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





class 					snake_case			(UpperCamelCase ):



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



       def 				_a   (					self   )	->				List[str]:
           lowercase__									=    os.O_RDWR | os.O_CREAT | os.O_TRUNC
           lowercase__									=    os.open(self._lock_file  ,UpperCAmelCase_   )

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







       def 				_a   (					self   )	->				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
           lowercase__									=    self._lock_file_fd
           lowercase__									=    None
           fcntl.flock(UpperCAmelCase_  ,fcntl.LOCK_UN   )
           os.close(UpperCAmelCase_   )
           return None





class 					snake_case			(UpperCamelCase ):



       def 				_a   (					self   )	->				Optional[Any]:
           lowercase__									=    os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
           try:
               lowercase__									=    os.open(self._lock_file  ,UpperCAmelCase_   )
           except OSError:
               pass
           else:
               lowercase__									=    fd
           return None







       def 				_a   (					self   )	->				Tuple:
           os.close(self._lock_file_fd   )
           lowercase__									=    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__          =  None

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

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




