





from typing import Dict, Iterable, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    IMAGENET_DEFAULT_MEAN,
    IMAGENET_DEFAULT_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


snake_case								=							logging.get_logger(__name__)





class 					A_					(   UpperCAmelCase						):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_   :			Dict  			=	['''pixel_values''']







       def __init__(     self						:						Union[str, Any]    ,__A						:						bool = True    ,__A						:						Dict[str, int] = None    ,__A						:						PILImageResampling = PILImageResampling.BICUBIC    ,__A						:						bool = True    ,__A						:						Dict[str, int] = None    ,__A						:						bool = True    ,__A						:						Union[int, float] = 1 / 255    ,__A						:						bool = True    ,__A						:						Optional[Union[float, Iterable[float]]] = IMAGENET_DEFAULT_MEAN    ,__A						:						Optional[Union[float, Iterable[float]]] = IMAGENET_DEFAULT_STD    ,**__A						:						Optional[int]    ,)    ->       None:
         super().__init__(**__A	)
         _lowercase						    =			size if size is not None else {'shortest_edge': 224}
         _lowercase						    =			get_size_dict(__A    ,default_to_square=__A	)
         _lowercase						    =			crop_size if crop_size is not None else {'height': 224, 'width': 224}
         _lowercase						    =			get_size_dict(__A    ,param_name='crop_size'	)

         _lowercase						    =			do_resize
         _lowercase						    =			size
         _lowercase						    =			resample
         _lowercase						    =			do_center_crop
         _lowercase						    =			crop_size
         _lowercase						    =			do_rescale
         _lowercase						    =			rescale_factor
         _lowercase						    =			do_normalize
         _lowercase						    =			image_mean if image_mean is not None else IMAGENET_DEFAULT_MEAN
         _lowercase						    =			image_std if image_std is not None else IMAGENET_DEFAULT_STD







       def  __UpperCAmelCase			(     self						:						int    ,__A						:						np.ndarray    ,__A						:						Dict[str, int]    ,__A						:						PILImageResampling = PILImageResampling.BICUBIC    ,__A						:						Optional[Union[str, ChannelDimension]] = None    ,**__A						:						List[str]    ,)    ->       np.ndarray:
         _lowercase						    =			get_size_dict(__A    ,default_to_square=__A	)
         # size_dict is a dict with either keys "height" and "width" or "shortest_edge"
         if "shortest_edge" in size:
           _lowercase						    =			int((256 / 224) * size['shortest_edge']	)
           _lowercase						    =			get_resize_output_image_size(__A    ,size=__A    ,default_to_square=__A	)
           _lowercase						    =			{'height': output_size[0], 'width': output_size[1]}
         if "height" not in size_dict or "width" not in size_dict:
           raise ValueError(
               F"""Size dict must have keys 'height' and 'width' or 'shortest_edge'. Got {size_dict.keys()}"""	)
         return resize(
             __A    ,size=(size_dict['height'], size_dict['width'])    ,resample=__A    ,data_format=__A    ,**__A	)







       def  __UpperCAmelCase			(     self						:						int    ,__A						:						np.ndarray    ,__A						:						Dict[str, int]    ,__A						:						Optional[Union[str, ChannelDimension]] = None    ,**__A						:						Optional[int]    ,)    ->       np.ndarray:
         _lowercase						    =			get_size_dict(__A	)
         if "height" not in size or "width" not in size:
           raise ValueError(F"""Size dict must have keys 'height' and 'width'. Got {size.keys()}"""	)
         return center_crop(__A    ,size=(size['height'], size['width'])    ,data_format=__A    ,**__A	)







       def  __UpperCAmelCase			(     self						:						Optional[int]    ,__A						:						np.ndarray    ,__A						:						Union[int, float]    ,__A						:						Optional[Union[str, ChannelDimension]] = None    ,**__A						:						List[str]    ,)    ->       np.ndarray:
         return rescale(__A    ,scale=__A    ,data_format=__A    ,**__A	)







       def  __UpperCAmelCase			(     self						:						str    ,__A						:						np.ndarray    ,__A						:						Union[float, List[float]]    ,__A						:						Union[float, List[float]]    ,__A						:						Optional[Union[str, ChannelDimension]] = None    ,**__A						:						int    ,)    ->       np.ndarray:
         return normalize(__A    ,mean=__A    ,std=__A    ,data_format=__A    ,**__A	)







       def  __UpperCAmelCase			(     self						:						Dict    ,__A						:						ImageInput    ,__A						:						Optional[bool] = None    ,__A						:						Optional[Dict[str, int]] = None    ,__A						:						PILImageResampling = None    ,__A						:						Optional[bool] = None    ,__A						:						Optional[Dict[str, int]] = None    ,__A						:						Optional[bool] = None    ,__A						:						Optional[float] = None    ,__A						:						Optional[bool] = None    ,__A						:						Optional[Union[float, Iterable[float]]] = None    ,__A						:						Optional[Union[float, Iterable[float]]] = None    ,__A						:						Optional[TensorType] = None    ,__A						:						ChannelDimension = ChannelDimension.FIRST    ,**__A						:						Optional[Any]    ,)    ->       BatchFeature:
         _lowercase						    =			do_resize if do_resize is not None else self.do_resize
         _lowercase						    =			resample if resample is not None else self.resample
         _lowercase						    =			do_center_crop if do_center_crop is not None else self.do_center_crop
         _lowercase						    =			do_rescale if do_rescale is not None else self.do_rescale
         _lowercase						    =			rescale_factor if rescale_factor is not None else self.rescale_factor
         _lowercase						    =			do_normalize if do_normalize is not None else self.do_normalize
         _lowercase						    =			image_mean if image_mean is not None else self.image_mean
         _lowercase						    =			image_std if image_std is not None else self.image_std

         _lowercase						    =			size if size is not None else self.size
         _lowercase						    =			get_size_dict(__A    ,default_to_square=__A	)
         _lowercase						    =			crop_size if crop_size is not None else self.crop_size
         _lowercase						    =			get_size_dict(__A    ,param_name='crop_size'	)

         _lowercase						    =			make_list_of_images(__A	)

         if not valid_images(__A	):
           raise ValueError(
               'Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, '
               'torch.Tensor, tf.Tensor or jax.ndarray.'	)

         if do_resize and size is None:
           raise ValueError('Size must be specified if do_resize is True.'	)

         if do_center_crop and crop_size is None:
           raise ValueError('Crop size must be specified if do_center_crop is True.'	)

         if do_rescale and rescale_factor is None:
           raise ValueError('Rescale factor must be specified if do_rescale is True.'	)

         if do_normalize and (image_mean is None or image_std is None):
           raise ValueError('Image mean and std must be specified if do_normalize is True.'	)

         # All transformations expect numpy arrays.
         _lowercase						    =			[to_numpy_array(__A	) for image in images]

         if do_resize:
           _lowercase						    =			[self.resize(__A    ,__A    ,__A	) for image in images]

         if do_center_crop:
           _lowercase						    =			[self.center_crop(__A    ,__A	) for image in images]

         if do_rescale:
           _lowercase						    =			[self.rescale(__A    ,__A	) for image in images]

         if do_normalize:
           _lowercase						    =			[self.normalize(__A    ,__A    ,__A	) for image in images]

         _lowercase						    =			[to_channel_dimension_format(__A    ,__A	) for image in images]

         _lowercase						    =			{'pixel_values': images}
         return BatchFeature(data=__A    ,tensor_type=__A	)




'''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")




