


"""simple docstring"""







import argparse
import os
import re


lowerCAmelCase__      				=   '''src/diffusers'''

# Pattern that looks at the indentation in a line.
lowerCAmelCase__      				=   re.compile(r'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
lowerCAmelCase__      				=   re.compile(r'''^\s*"([^"]+)":''')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
lowerCAmelCase__      				=   re.compile(r'''^\s*_import_structure\["([^"]+)"\]''')
# Pattern that matches `"key",` and puts `key` in group 0.
lowerCAmelCase__      				=   re.compile(r'''^\s*"([^"]+)",\s*$''')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
lowerCAmelCase__      				=   re.compile(r'''\[([^\]]+)\]''')
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[Any]				):


  '''simple docstring'''







  lowerCAmelCase     :     Dict								=							_re_indent.search(__UpperCamelCase				)
  return "" if search is None else search.groups()[0]
def 					a__			(				SCREAMING_SNAKE_CASE    :    Optional[Any]				,      SCREAMING_SNAKE_CASE    :    List[Any]=""				,      SCREAMING_SNAKE_CASE    :    Optional[int]=None				,      SCREAMING_SNAKE_CASE    :    Tuple=None				):


  '''simple docstring'''







  lowerCAmelCase     :     int								=							0
  lowerCAmelCase     :     Optional[int]								=							code.split("\n"				)
  if start_prompt is not None:
    while not lines[index].startswith(__UpperCamelCase				):
      index += 1
    lowerCAmelCase     :     Any								=							["\n".join(lines[:index]				)]
  else:
    lowerCAmelCase     :     int								=							[]

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

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

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

  return blocks
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[Any]				):


  '''simple docstring'''







  def _inner(SCREAMING_SNAKE_CASE    :    Optional[int]				):
    return key(__UpperCamelCase				).lower().replace("_"				,      ""				)

  return _inner
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[str]				,      SCREAMING_SNAKE_CASE    :    Optional[Any]=None				):


  '''simple docstring'''







  def noop(SCREAMING_SNAKE_CASE    :    Any				):
    return x

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

  lowerCAmelCase     :     Any								=							ignore_underscore(__UpperCamelCase				)
  return sorted(__UpperCamelCase				,      key=__UpperCamelCase				) + sorted(__UpperCamelCase				,      key=__UpperCamelCase				) + sorted(__UpperCamelCase				,      key=__UpperCamelCase				)
def 					a__			(				SCREAMING_SNAKE_CASE    :    int				):


  '''simple docstring'''







  def _replace(SCREAMING_SNAKE_CASE    :    Optional[int]				):
    lowerCAmelCase     :     Optional[Any]								=							match.groups()[0]
    if "," not in imports:
      return f"""[{imports}]"""
    lowerCAmelCase     :     int								=							[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:
      lowerCAmelCase     :     Dict								=							keys[:-1]
    return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(__UpperCamelCase				)]				) + "]"

  lowerCAmelCase     :     str								=							import_statement.split("\n"				)
  if len(__UpperCamelCase				) > 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.
    lowerCAmelCase     :     Any								=							2 if lines[1].strip() == "[" else 1
    lowerCAmelCase     :     Tuple								=							[(i, _re_strip_line.search(__UpperCamelCase				).groups()[0]) for i, line in enumerate(lines[idx:-idx]				)]
    lowerCAmelCase     :     str								=							sort_objects(__UpperCamelCase				,      key=lambda SCREAMING_SNAKE_CASE				: x[1]				)
    lowerCAmelCase     :     Optional[Any]								=							[lines[x[0] + idx] for x in sorted_indices]
    return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]				)
  elif len(__UpperCamelCase				) == 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:
      lowerCAmelCase     :     int								=							_re_bracket_content.sub(_replace				,      lines[1]				)
    else:
      lowerCAmelCase     :     Optional[Any]								=							[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:
        lowerCAmelCase     :     Dict								=							keys[:-1]
      lowerCAmelCase     :     Tuple								=							get_indent(lines[1]				) + ", ".join([f"""\"{k}\"""" for k in sort_objects(__UpperCamelCase				)]				)
    return "\n".join(__UpperCamelCase				)
  else:
    # Finally we have to deal with imports fitting on one line
    lowerCAmelCase     :     int								=							_re_bracket_content.sub(_replace				,      __UpperCamelCase				)
    return import_statement
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[Any]				,      SCREAMING_SNAKE_CASE    :    Optional[Any]=True				):


  '''simple docstring'''







  with open(__UpperCamelCase				,      "r"				) as f:
    lowerCAmelCase     :     List[Any]								=							f.read()

  if "_import_structure" not in code:
    return

  # Blocks of indent level 0
  lowerCAmelCase     :     int								=							split_code_in_indented_blocks(
      __UpperCamelCase				,      start_prompt="_import_structure = {"				,      end_prompt="if TYPE_CHECKING:"				)

  # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
  for block_idx in range(1				,      len(__UpperCamelCase				) - 1				):
    # Check if the block contains some `_import_structure`s thingy to sort.
    lowerCAmelCase     :     List[Any]								=							main_blocks[block_idx]
    lowerCAmelCase     :     Optional[Any]								=							block.split("\n"				)

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

    # Ignore beginning and last line: they don't contain anything.
    lowerCAmelCase     :     Union[str, Any]								=							"\n".join(block_lines[line_idx:-1]				)
    lowerCAmelCase     :     List[str]								=							get_indent(block_lines[1]				)
    # Slit the internal block into blocks of indent level 1.
    lowerCAmelCase     :     Tuple								=							split_code_in_indented_blocks(__UpperCamelCase				,      indent_level=__UpperCamelCase				)
    # We have two categories of import key: list or _import_structure[key].append/extend
    lowerCAmelCase     :     Union[str, Any]								=							_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.
    lowerCAmelCase     :     List[Any]								=							[(pattern.search(__UpperCamelCase				).groups()[0] if pattern.search(__UpperCamelCase				) is not None else None) for b in internal_blocks]
    # We only sort the lines with a key.
    lowerCAmelCase     :     Any								=							[(i, key) for i, key in enumerate(__UpperCamelCase				) if key is not None]
    lowerCAmelCase     :     Optional[Any]								=							[x[0] for x in sorted(__UpperCamelCase				,      key=lambda SCREAMING_SNAKE_CASE				: x[1]				)]

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

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

  if code != "\n".join(__UpperCamelCase				):
    if check_only:
      return True
    else:
      print(f"""Overwriting {file}."""				)
      with open(__UpperCamelCase				,      "w"				) as f:
        f.write("\n".join(__UpperCamelCase				)				)
def 					a__			(				SCREAMING_SNAKE_CASE    :    Union[str, Any]=True				):


  '''simple docstring'''







  lowerCAmelCase     :     Dict								=							[]
  for root, _, files in os.walk(__UpperCamelCase				):
    if "__init__.py" in files:
      lowerCAmelCase     :     str								=							sort_imports(os.path.join(__UpperCamelCase				,      "__init__.py"				)				,      check_only=__UpperCamelCase				)
      if result:
        lowerCAmelCase     :     Union[str, Any]								=							[os.path.join(__UpperCamelCase				,      "__init__.py"				)]
  if len(__UpperCamelCase				) > 0:
    raise ValueError(f"""Would overwrite {len(__UpperCamelCase				)} files, run `make style`."""				)


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

     sort_imports_in_all_inits(check_only=args.check_only)






from typing import List, Optional, Union

import numpy as np
import PIL.Image

from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import rescale, resize, to_channel_dimension_format
from ...image_utils import (
    ChannelDimension,
    PILImageResampling,
    get_image_size,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, logging


__lowerCamelCase			: Union[str, Any]							   =		logging.get_logger(__name__)







class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							["pixel_values"]




   def __init__(    self			:				Any       ,	_lowercase			:				bool = True       ,	_lowercase			:				int = 32       ,	_lowercase			:				Any=PILImageResampling.BILINEAR       ,	_lowercase			:				bool = True       ,	**_lowercase			:				Union[str, Any]       ,	):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      do_resize
     SCREAMING_SNAKE_CASE__										=      do_rescale
     SCREAMING_SNAKE_CASE__										=      size_divisor
     SCREAMING_SNAKE_CASE__										=      resample
     super().__init__(**_lowercase      )




   def 	__a						(    self			:				int       ,	_lowercase			:				np.ndarray       ,	_lowercase			:				int       ,	_lowercase			:				int       ,	_lowercase			:				Optional[ChannelDimension] = None       ,	**_lowercase			:				int      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__							,     SCREAMING_SNAKE_CASE__										=      get_image_size(_lowercase      )
     # Rounds the height and width down to the closest multiple of size_divisor
     SCREAMING_SNAKE_CASE__										=      height // size_divisor * size_divisor
     SCREAMING_SNAKE_CASE__										=      width // size_divisor * size_divisor
     SCREAMING_SNAKE_CASE__										=      resize(_lowercase       ,	(new_h, new_w)       ,	resample=_lowercase       ,	data_format=_lowercase       ,	**_lowercase      )
     return image




   def 	__a						(    self			:				int       ,	_lowercase			:				np.ndarray       ,	_lowercase			:				float       ,	_lowercase			:				Optional[ChannelDimension] = None       ,	**_lowercase			:				str      ):



     """simple docstring"""






     return rescale(image=_lowercase       ,	scale=_lowercase       ,	data_format=_lowercase       ,	**_lowercase      )




   def 	__a						(    self			:				Tuple       ,	_lowercase			:				Union["PIL.Image.Image", TensorType, List["PIL.Image.Image"], List[TensorType]]       ,	_lowercase			:				Optional[bool] = None       ,	_lowercase			:				Optional[int] = None       ,	_lowercase			:				int=None       ,	_lowercase			:				Optional[bool] = None       ,	_lowercase			:				Optional[Union[TensorType, str]] = None       ,	_lowercase			:				ChannelDimension = ChannelDimension.FIRST       ,	**_lowercase			:				Optional[int]       ,	):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      do_resize if do_resize is not None else self.do_resize
     SCREAMING_SNAKE_CASE__										=      do_rescale if do_rescale is not None else self.do_rescale
     SCREAMING_SNAKE_CASE__										=      size_divisor if size_divisor is not None else self.size_divisor
     SCREAMING_SNAKE_CASE__										=      resample if resample is not None else self.resample

     if do_resize and size_divisor is None:
       raise ValueError("""size_divisor is required for resizing"""      )

     SCREAMING_SNAKE_CASE__										=      make_list_of_images(_lowercase      )

     if not valid_images(_lowercase      ):
       raise ValueError("""Invalid image(s)"""      )

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

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

     if do_rescale:
       SCREAMING_SNAKE_CASE__										=      [self.rescale(_lowercase       ,	scale=1 / 2_55      ) for image in images]

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

     SCREAMING_SNAKE_CASE__										=      {"""pixel_values""": images}
     return BatchFeature(data=_lowercase       ,	tensor_type=_lowercase      )
