





"""simple docstring"""
from typing import Dict, List, Optional, Union

import numpy as np

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


if is_vision_available():
		import PIL


_snake_case     :		Tuple       						= logging.get_logger(__name__)






class 					_UpperCAmelCase   (	lowercase_ ):
					UpperCamelCase      =							['''pixel_values''']


					def __init__(					self			:Dict     ,       __UpperCamelCase			:Optional[Any] = True     ,       __UpperCamelCase			:Dict = None     ,       __UpperCamelCase			:Dict = PIL.Image.BICUBIC     ,       __UpperCamelCase			:List[str] = True     ,       __UpperCamelCase			:Dict = None     ,       __UpperCamelCase			:Tuple = 1 / 2_55     ,       __UpperCamelCase			:Dict = True     ,       __UpperCamelCase			:str = True     ,       __UpperCamelCase			:int = None     ,       __UpperCamelCase			:List[str] = None     ,       **__UpperCamelCase			:Optional[Any]     ,       ):
												super().__init__(**__UpperCamelCase		)
												A		=  size if size is not None else {"height": 2_56, "width": 2_56}
												A		=  get_size_dict(__UpperCamelCase		)
												A		=  crop_size if crop_size is not None else {"height": 2_24, "width": 2_24}
												A		=  get_size_dict(__UpperCamelCase     ,       param_name="crop_size"		)

												A		=  do_resize
												A		=  size
												A		=  resample
												A		=  do_center_crop
												A		=  crop_size
												A		=  do_rescale
												A		=  rescale_factor
												A		=  do_normalize
												A		=  image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
												A		=  image_std if image_std is not None else IMAGENET_STANDARD_STD


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:List[str]     ,       __UpperCamelCase			:List[Any]     ,       __UpperCamelCase			:List[Any] = PIL.Image.BICUBIC     ,       __UpperCamelCase			:str = None     ,       **__UpperCamelCase			:str     ,       ):
												A		=  get_size_dict(__UpperCamelCase		)
												if "height" not in size or "width" not in size:
																			raise ValueError(f"The size dictionary must have keys \'height\' and \'width\'. Got {size.keys()}"		)
												return resize(
												    __UpperCamelCase     ,       size=(size["height"], size["width"])     ,       resample=__UpperCamelCase     ,       data_format=__UpperCamelCase     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Optional[int]     ,       __UpperCamelCase			:Dict     ,       __UpperCamelCase			:List[str]     ,       __UpperCamelCase			:Union[str, Any] = None     ,       **__UpperCamelCase			:List[Any]     ,       ):
												A		=  get_size_dict(__UpperCamelCase		)
												if "height" not in size or "width" not in size:
																			raise ValueError(f"The size dictionary must have keys \'height\' and \'width\'. Got {size.keys()}"		)
												return center_crop(__UpperCamelCase     ,       size=(size["height"], size["width"])     ,       data_format=__UpperCamelCase     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Dict     ,       __UpperCamelCase			:List[str]     ,       __UpperCamelCase			:Union[str, Any]     ,       __UpperCamelCase			:int = None     ,       **__UpperCamelCase			:Optional[int]     ,       ):
												return rescale(__UpperCamelCase     ,       scale=__UpperCamelCase     ,       data_format=__UpperCamelCase     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:str     ,       __UpperCamelCase			:str     ,       __UpperCamelCase			:Optional[int]     ,       __UpperCamelCase			:Dict     ,       __UpperCamelCase			:Union[str, Any] = None     ,       **__UpperCamelCase			:List[Any]     ,       ):
												return normalize(__UpperCamelCase     ,       mean=__UpperCamelCase     ,       std=__UpperCamelCase     ,       data_format=__UpperCamelCase     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:Any     ,       __UpperCamelCase			:Any = None     ,       __UpperCamelCase			:List[Any] = None     ,       __UpperCamelCase			:int=None     ,       __UpperCamelCase			:List[Any] = None     ,       __UpperCamelCase			:int = None     ,       __UpperCamelCase			:List[str] = None     ,       __UpperCamelCase			:int = None     ,       __UpperCamelCase			:Any = None     ,       __UpperCamelCase			:List[Any] = None     ,       __UpperCamelCase			:Dict = None     ,       __UpperCamelCase			:int = None     ,       __UpperCamelCase			:Any = ChannelDimension.FIRST     ,       **__UpperCamelCase			:List[Any]     ,       ):
												A		=  do_resize if do_resize is not None else self.do_resize
												A		=  resample if resample is not None else self.resample
												A		=  do_center_crop if do_center_crop is not None else self.do_center_crop
												A		=  do_rescale if do_rescale is not None else self.do_rescale
												A		=  rescale_factor if rescale_factor is not None else self.rescale_factor
												A		=  do_normalize if do_normalize is not None else self.do_normalize
												A		=  image_mean if image_mean is not None else self.image_mean
												A		=  image_std if image_std is not None else self.image_std

												A		=  size if size is not None else self.size
												A		=  get_size_dict(__UpperCamelCase		)
												A		=  crop_size if crop_size is not None else self.crop_size
												A		=  get_size_dict(__UpperCamelCase     ,       param_name="crop_size"		)

												A		=  make_list_of_images(__UpperCamelCase		)

												if not valid_images(__UpperCamelCase		):
																			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 or resample is None:
																			raise ValueError("Size and resample 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.
												A		=  [to_numpy_array(__UpperCamelCase		) for image in images]

												if do_resize:
																			A		=  [self.resize(image=__UpperCamelCase     ,       size=__UpperCamelCase     ,       resample=__UpperCamelCase		) for image in images]

												if do_center_crop:
																			A		=  [self.center_crop(image=__UpperCamelCase     ,       size=__UpperCamelCase		) for image in images]

												if do_rescale:
																			A		=  [self.rescale(image=__UpperCamelCase     ,       scale=__UpperCamelCase		) for image in images]

												if do_normalize:
																			A		=  [self.normalize(image=__UpperCamelCase     ,       mean=__UpperCamelCase     ,       std=__UpperCamelCase		) for image in images]

												A		=  [to_channel_dimension_format(__UpperCamelCase     ,       __UpperCamelCase		) for image in images]

												A		=  {"pixel_values": images}
												return BatchFeature(data=__UpperCamelCase     ,       tensor_type=__UpperCamelCase		)





import argparse
import os
import re


lowercase_									=   'src/transformers'

# Pattern that looks at the indentation in a line.
lowercase_									=   re.compile(R'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
lowercase_									=   re.compile(R'^\s*"([^"]+)":')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
lowercase_									=   re.compile(R'^\s*_import_structure\["([^"]+)"\]')
# Pattern that matches `"key",` and puts `key` in group 0.
lowercase_									=   re.compile(R'^\s*"([^"]+)",\s*$')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
lowercase_									=   re.compile(R'\[([^\]]+)\]')
def      a      (			A__	:   Dict     )    ->      Optional[Any]:





      """simple docstring"""



      _lowercase	       =_re_indent.search(A__     )
      return "" if search is None else search.groups()[0]
def      a      (			A__	:   Optional[Any]      ,   A__	:   Dict=""      ,   A__	:   Union[str, Any]=None      ,   A__	:   Tuple=None     )    ->      Dict:





      """simple docstring"""



      _lowercase	       =0
      _lowercase	       =code.split('\n'     )
      if start_prompt is not None:
            while not lines[index].startswith(A__     ):
                  index += 1
            _lowercase	       =['\n'.join(lines[:index]     )]
      else:
            _lowercase	       =[]

      # We split into blocks until we get to the `end_prompt` (or the end of the block).
      _lowercase	       =[lines[index]]
      index += 1
      while index < len(A__     ) and (end_prompt is None or not lines[index].startswith(A__     )):
            if len(lines[index]     ) > 0 and get_indent(lines[index]     ) == indent_level:
                  if len(A__     ) > 0 and get_indent(current_block[-1]     ).startswith(indent_level + ' '     ):
                        current_block.append(lines[index]     )
                        blocks.append('\n'.join(A__     )     )
                        if index < len(A__     ) - 1:
                              _lowercase	       =[lines[index + 1]]
                              index += 1
                        else:
                              _lowercase	       =[]
                  else:
                        blocks.append('\n'.join(A__     )     )
                        _lowercase	       =[lines[index]]
            else:
                  current_block.append(lines[index]     )
            index += 1

      # Adds current block if it's nonempty.
      if len(A__     ) > 0:
            blocks.append('\n'.join(A__     )     )

      # Add final block after end_prompt if provided.
      if end_prompt is not None and index < len(A__     ):
            blocks.append('\n'.join(lines[index:]     )     )

      return blocks
def      a      (			A__	:   int     )    ->      Union[str, Any]:





      """simple docstring"""



      def _inner(A__	:   Any     ):
            return key(A__     ).lower().replace('_'      ,   ''     )

      return _inner
def      a      (			A__	:   Any      ,   A__	:   Union[str, Any]=None     )    ->      int:





      """simple docstring"""



      def noop(A__	:   Optional[int]     ):
            return x

      if key is None:
            _lowercase	       =noop
      # Constants are all uppercase, they go first.
      _lowercase	       =[obj for obj in objects if key(A__     ).isupper()]
      # Classes are not all uppercase but start with a capital, they go second.
      _lowercase	       =[obj for obj in objects if key(A__     )[0].isupper() and not key(A__     ).isupper()]
      # Functions begin with a lowercase, they go last.
      _lowercase	       =[obj for obj in objects if not key(A__     )[0].isupper()]

      _lowercase	       =ignore_underscore(A__     )
      return sorted(A__      ,   key=A__     ) + sorted(A__      ,   key=A__     ) + sorted(A__      ,   key=A__     )
def      a      (			A__	:   Union[str, Any]     )    ->      Tuple:





      """simple docstring"""



      def _replace(A__	:   Optional[int]     ):
            _lowercase	       =match.groups()[0]
            if "," not in imports:
                  return F'''[{imports}]'''
            _lowercase	       =[part.strip().replace('"'      ,   ''     ) for part in imports.split(','     )]
            # We will have a final empty element if the line finished with a comma.
            if len(keys[-1]     ) == 0:
                  _lowercase	       =keys[:-1]
            return "[" + ", ".join([F'''"{k}"''' for k in sort_objects(A__     )]     ) + "]"

      _lowercase	       =import_statement.split('\n'     )
      if len(A__     ) > 3:
            # Here we have to sort internal imports that are on several lines (one per name):
            # key: [
            #     "object1",
            #     "object2",
            #     ...
            # ]

            # We may have to ignore one or two lines on each side.
            _lowercase	       =2 if lines[1].strip() == '[' else 1
            _lowercase	       =[(i, _re_strip_line.search(A__     ).groups()[0]) for i, line in enumerate(lines[idx:-idx]     )]
            _lowercase	       =sort_objects(A__      ,   key=lambda A__     : x[1]     )
            _lowercase	       =[lines[x[0] + idx] for x in sorted_indices]
            return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]     )
      elif len(A__     ) == 3:
            # Here we have to sort internal imports that are on one separate line:
            # key: [
            #     "object1", "object2", ...
            # ]
            if _re_bracket_content.search(lines[1]     ) is not None:
                  _lowercase	       =_re_bracket_content.sub(_replace      ,   lines[1]     )
            else:
                  _lowercase	       =[part.strip().replace('"'      ,   ''     ) for part in lines[1].split(','     )]
                  # We will have a final empty element if the line finished with a comma.
                  if len(keys[-1]     ) == 0:
                        _lowercase	       =keys[:-1]
                  _lowercase	       =get_indent(lines[1]     ) + ', '.join([F'''"{k}"''' for k in sort_objects(A__     )]     )
            return "\n".join(A__     )
      else:
            # Finally we have to deal with imports fitting on one line
            _lowercase	       =_re_bracket_content.sub(_replace      ,   A__     )
            return import_statement
def      a      (			A__	:   Dict      ,   A__	:   int=True     )    ->      Optional[Any]:





      """simple docstring"""



      with open(A__      ,   encoding='utf-8'     ) as f:
            _lowercase	       =f.read()

      if "_import_structure" not in code:
            return

      # Blocks of indent level 0
      _lowercase	       =split_code_in_indented_blocks(
          A__      ,   start_prompt='_import_structure = {'      ,   end_prompt='if TYPE_CHECKING:'     )

      # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
      for block_idx in range(1      ,   len(A__     ) - 1     ):
            # Check if the block contains some `_import_structure`s thingy to sort.
            _lowercase	       =main_blocks[block_idx]
            _lowercase	       =block.split('\n'     )

            # Get to the start of the imports.
            _lowercase	       =0
            while line_idx < len(A__     ) and "_import_structure" not in block_lines[line_idx]:
                  # Skip dummy import blocks
                  if "import dummy" in block_lines[line_idx]:
                        _lowercase	       =len(A__     )
                  else:
                        line_idx += 1
            if line_idx >= len(A__     ):
                  continue

            # Ignore beginning and last line: they don't contain anything.
            _lowercase	       ='\n'.join(block_lines[line_idx:-1]     )
            _lowercase	       =get_indent(block_lines[1]     )
            # Slit the internal block into blocks of indent level 1.
            _lowercase	       =split_code_in_indented_blocks(A__      ,   indent_level=A__     )
            # We have two categories of import key: list or _import_structure[key].append/extend
            _lowercase	       =_re_direct_key if '_import_structure = {' in block_lines[0] else _re_indirect_key
            # Grab the keys, but there is a trap: some lines are empty or just comments.
            _lowercase	       =[(pattern.search(A__     ).groups()[0] if pattern.search(A__     ) is not None else None) for b in internal_blocks]
            # We only sort the lines with a key.
            _lowercase	       =[(i, key) for i, key in enumerate(A__     ) if key is not None]
            _lowercase	       =[x[0] for x in sorted(A__      ,   key=lambda A__     : x[1]     )]

            # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
            _lowercase	       =0
            _lowercase	       =[]
            for i in range(len(A__     )     ):
                  if keys[i] is None:
                        reorderded_blocks.append(internal_blocks[i]     )
                  else:
                        _lowercase	       =sort_objects_in_import(internal_blocks[sorted_indices[count]]     )
                        reorderded_blocks.append(A__     )
                        count += 1

        # And we put our main block back together with its first and last line.
            _lowercase	       ='\n'.join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]     )

      if code != "\n".join(A__     ):
            if check_only:
                  return True
            else:
                  print(F'''Overwriting {file}.'''     )
                  with open(A__      ,   'w'      ,   encoding='utf-8'     ) as f:
                        f.write('\n'.join(A__     )     )
def      a      (			A__	:   List[Any]=True     )    ->      List[str]:





      """simple docstring"""



      _lowercase	       =[]
      for root, _, files in os.walk(A__     ):
            if "__init__.py" in files:
                  _lowercase	       =sort_imports(os.path.join(A__      ,   '__init__.py'     )      ,   check_only=A__     )
                  if result:
                        _lowercase	       =[os.path.join(A__      ,   '__init__.py'     )]
      if len(A__     ) > 0:
            raise ValueError(F'''Would overwrite {len(A__     )} files, run `make style`.'''     )


if __name__ == "__main__":
  lowercase_									=   argparse.ArgumentParser()
  parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
  lowercase_									=   parser.parse_args()

  sort_imports_in_all_inits(check_only=args.check_only)


