

'''simple docstring'''




import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union

# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
from ...image_processing_utils import ImageProcessingMixin
from ...utils import CONFIG_NAME, IMAGE_PROCESSOR_NAME, get_file_from_repo, logging
from .auto_factory import _LazyAutoMapping
from .configuration_auto import (
    CONFIG_MAPPING_NAMES,
    AutoConfig,
    model_type_to_module_name,
    replace_list_option_in_docstrings,
)


_lowerCAmelCase  :		Optional[int]		     =	logging.get_logger(__name__)

_lowerCAmelCase  :		Optional[Any]		     =	OrderedDict(
    [
        ('align', 'EfficientNetImageProcessor'),
        ('beit', 'BeitImageProcessor'),
        ('bit', 'BitImageProcessor'),
        ('blip', 'BlipImageProcessor'),
        ('blip-2', 'BlipImageProcessor'),
        ('bridgetower', 'BridgeTowerImageProcessor'),
        ('chinese_clip', 'ChineseCLIPImageProcessor'),
        ('clip', 'CLIPImageProcessor'),
        ('clipseg', 'ViTImageProcessor'),
        ('conditional_detr', 'ConditionalDetrImageProcessor'),
        ('convnext', 'ConvNextImageProcessor'),
        ('convnextv2', 'ConvNextImageProcessor'),
        ('cvt', 'ConvNextImageProcessor'),
        ('data2vec-vision', 'BeitImageProcessor'),
        ('deformable_detr', 'DeformableDetrImageProcessor'),
        ('deit', 'DeiTImageProcessor'),
        ('deta', 'DetaImageProcessor'),
        ('detr', 'DetrImageProcessor'),
        ('dinat', 'ViTImageProcessor'),
        ('donut-swin', 'DonutImageProcessor'),
        ('dpt', 'DPTImageProcessor'),
        ('efficientformer', 'EfficientFormerImageProcessor'),
        ('efficientnet', 'EfficientNetImageProcessor'),
        ('flava', 'FlavaImageProcessor'),
        ('focalnet', 'BitImageProcessor'),
        ('git', 'CLIPImageProcessor'),
        ('glpn', 'GLPNImageProcessor'),
        ('groupvit', 'CLIPImageProcessor'),
        ('imagegpt', 'ImageGPTImageProcessor'),
        ('instructblip', 'BlipImageProcessor'),
        ('layoutlmv2', 'LayoutLMv2ImageProcessor'),
        ('layoutlmv3', 'LayoutLMv3ImageProcessor'),
        ('levit', 'LevitImageProcessor'),
        ('mask2former', 'Mask2FormerImageProcessor'),
        ('maskformer', 'MaskFormerImageProcessor'),
        ('mgp-str', 'ViTImageProcessor'),
        ('mobilenet_v1', 'MobileNetV1ImageProcessor'),
        ('mobilenet_v2', 'MobileNetV2ImageProcessor'),
        ('mobilevit', 'MobileViTImageProcessor'),
        ('mobilevit', 'MobileViTImageProcessor'),
        ('mobilevitv2', 'MobileViTImageProcessor'),
        ('nat', 'ViTImageProcessor'),
        ('oneformer', 'OneFormerImageProcessor'),
        ('owlvit', 'OwlViTImageProcessor'),
        ('perceiver', 'PerceiverImageProcessor'),
        ('pix2struct', 'Pix2StructImageProcessor'),
        ('poolformer', 'PoolFormerImageProcessor'),
        ('regnet', 'ConvNextImageProcessor'),
        ('resnet', 'ConvNextImageProcessor'),
        ('sam', 'SamImageProcessor'),
        ('segformer', 'SegformerImageProcessor'),
        ('swiftformer', 'ViTImageProcessor'),
        ('swin', 'ViTImageProcessor'),
        ('swin2sr', 'Swin2SRImageProcessor'),
        ('swinv2', 'ViTImageProcessor'),
        ('table-transformer', 'DetrImageProcessor'),
        ('timesformer', 'VideoMAEImageProcessor'),
        ('tvlt', 'TvltImageProcessor'),
        ('upernet', 'SegformerImageProcessor'),
        ('van', 'ConvNextImageProcessor'),
        ('videomae', 'VideoMAEImageProcessor'),
        ('vilt', 'ViltImageProcessor'),
        ('vit', 'ViTImageProcessor'),
        ('vit_hybrid', 'ViTHybridImageProcessor'),
        ('vit_mae', 'ViTImageProcessor'),
        ('vit_msn', 'ViTImageProcessor'),
        ('xclip', 'CLIPImageProcessor'),
        ('yolos', 'YolosImageProcessor'),
    ]
)

_lowerCAmelCase  :		Union[str, Any]		     =	_LazyAutoMapping(CONFIG_MAPPING_NAMES, IMAGE_PROCESSOR_MAPPING_NAMES)

def 			__UpperCamelCase    (    _A    :				str				)    ->      Dict:




	"""simple docstring"""





	for module_name, extractors in IMAGE_PROCESSOR_MAPPING_NAMES.items():
		if class_name in extractors:
			lowerCAmelCase					:    Dict      							= model_type_to_module_name(UpperCAmelCase__				)

			lowerCAmelCase					:    Optional[Any]      							= importlib.import_module(F".{module_name}"					,   'transformers.models'				)
			try:
				return getattr(UpperCAmelCase__					,   UpperCAmelCase__				)
			except AttributeError:
				continue

	for _, extractor in IMAGE_PROCESSOR_MAPPING._extra_content.items():
		if getattr(UpperCAmelCase__					,   '__name__'					,   UpperCAmelCase__				) == class_name:
			return extractor

    # We did not fine the class, but maybe it's because a dep is missing. In that case, the class will be in the main
    # init and we return the proper dummy to get an appropriate error message.
	lowerCAmelCase					:    Union[str, Any]      							= importlib.import_module('transformers'				)
	if hasattr(UpperCAmelCase__					,   UpperCAmelCase__				):
		return getattr(UpperCAmelCase__					,   UpperCAmelCase__				)

	return None

def 			__UpperCamelCase    (    _A    :				Union[str, os.PathLike]					,   _A    :				Optional[Union[str, os.PathLike]] = None					,   _A    :				bool = False					,   _A    :				bool = False					,   _A    :				Optional[Dict[str, str]] = None					,   _A    :				Optional[Union[bool, str]] = None					,   _A    :				Optional[str] = None					,   _A    :				bool = False					,   **_A    :				Dict					,   )    ->      Optional[Any]:




	"""simple docstring"""





	lowerCAmelCase					:    Optional[int]      							= get_file_from_repo(
	    UpperCAmelCase__					,   UpperCAmelCase__					,   cache_dir=UpperCAmelCase__					,   force_download=UpperCAmelCase__					,   resume_download=UpperCAmelCase__					,   proxies=UpperCAmelCase__					,   use_auth_token=UpperCAmelCase__					,   revision=UpperCAmelCase__					,   local_files_only=UpperCAmelCase__					,   )
	if resolved_config_file is None:
		logger.info(
		    'Could not locate the image processor configuration file, will try to use the model config instead.'				)
		return {}

	with open(UpperCAmelCase__					,   encoding='utf-8'				) as reader:
		return json.load(UpperCAmelCase__				)






class  lowerCAmelCase				:



	def __init__(					self    ):
		raise EnvironmentError(
		    'AutoImageProcessor is designed to be instantiated '
		    'using the `AutoImageProcessor.from_pretrained(pretrained_model_name_or_path)` method.'    )



	@classmethod
	@replace_list_option_in_docstrings(__UpperCamelCase    )
	def 				lowercase     (					cls ,					snake_case__ ,					**snake_case__    ):
		lowerCAmelCase					:    int      							= kwargs.pop('config' ,					__UpperCamelCase    )
		lowerCAmelCase					:    Any      							= kwargs.pop('trust_remote_code' ,					__UpperCamelCase    )
		lowerCAmelCase					:    Optional[Any]      							= True

		lowerCAmelCase							,   lowerCAmelCase					:    List[Any]      							= ImageProcessingMixin.get_image_processor_dict(__UpperCamelCase ,					**__UpperCamelCase    )
		lowerCAmelCase					:    Dict      							= config_dict.get('image_processor_type' ,					__UpperCamelCase    )
		lowerCAmelCase					:    List[Any]      							= None
		if "AutoImageProcessor" in config_dict.get('auto_map' ,					{}    ):
			lowerCAmelCase					:    Optional[int]      							= config_dict['auto_map']['AutoImageProcessor']

		# If we still don't have the image processor class, check if we're loading from a previous feature extractor config
		# and if so, infer the image processor class from there.
		if image_processor_class is None and image_processor_auto_map is None:
			lowerCAmelCase					:    Optional[int]      							= config_dict.pop('feature_extractor_type' ,					__UpperCamelCase    )
			if feature_extractor_class is not None:
				logger.warning(
				    'Could not find image processor class in the image processor config or the model config. Loading'
				    ' based on pattern matching with the model\'s feature extractor configuration.'    )
				lowerCAmelCase					:    Dict      							= feature_extractor_class.replace('FeatureExtractor' ,					'ImageProcessor'    )
			if "AutoFeatureExtractor" in config_dict.get('auto_map' ,					{}    ):
				lowerCAmelCase					:    Optional[int]      							= config_dict['auto_map']['AutoFeatureExtractor']
				lowerCAmelCase					:    Dict      							= feature_extractor_auto_map.replace('FeatureExtractor' ,					'ImageProcessor'    )
				logger.warning(
				    'Could not find image processor auto map in the image processor config or the model config.'
				    ' Loading based on pattern matching with the model\'s feature extractor configuration.'    )

        # If we don't find the image processor class in the image processor config, let's try the model config.
		if image_processor_class is None and image_processor_auto_map is None:
			if not isinstance(__UpperCamelCase ,					__UpperCamelCase    ):
				lowerCAmelCase					:    Tuple      							= AutoConfig.from_pretrained(__UpperCamelCase ,					**__UpperCamelCase    )
			# It could be in `config.image_processor_type``
			lowerCAmelCase					:    Union[str, Any]      							= getattr(__UpperCamelCase ,					'image_processor_type' ,					__UpperCamelCase    )
			if hasattr(__UpperCamelCase ,					'auto_map'    ) and "AutoImageProcessor" in config.auto_map:
				lowerCAmelCase					:    Tuple      							= config.auto_map['AutoImageProcessor']

		if image_processor_class is not None:
			lowerCAmelCase					:    Optional[Any]      							= image_processor_class_from_name(__UpperCamelCase    )

		lowerCAmelCase					:    int      							= image_processor_auto_map is not None
		lowerCAmelCase					:    List[str]      							= image_processor_class is not None or type(__UpperCamelCase    ) in IMAGE_PROCESSOR_MAPPING
		lowerCAmelCase					:    Union[str, Any]      							= resolve_trust_remote_code(
		    __UpperCamelCase ,					__UpperCamelCase ,					__UpperCamelCase ,					__UpperCamelCase    )

		if has_remote_code and trust_remote_code:
			lowerCAmelCase					:    Union[str, Any]      							= get_class_from_dynamic_module(
			    __UpperCamelCase ,					__UpperCamelCase ,					**__UpperCamelCase    )
			lowerCAmelCase					:    Optional[Any]      							= kwargs.pop('code_revision' ,					__UpperCamelCase    )
			if os.path.isdir(__UpperCamelCase    ):
				image_processor_class.register_for_auto_class()
			return image_processor_class.from_dict(__UpperCamelCase ,					**__UpperCamelCase    )
		elif image_processor_class is not None:
			return image_processor_class.from_dict(__UpperCamelCase ,					**__UpperCamelCase    )
		# Last try: we use the IMAGE_PROCESSOR_MAPPING.
		elif type(__UpperCamelCase    ) in IMAGE_PROCESSOR_MAPPING:
			lowerCAmelCase					:    str      							= IMAGE_PROCESSOR_MAPPING[type(__UpperCamelCase    )]
			return image_processor_class.from_dict(__UpperCamelCase ,					**__UpperCamelCase    )

		raise ValueError(
		    f"Unrecognized image processor in {pretrained_model_name_or_path}. Should have a "
		    f"`image_processor_type` key in its {IMAGE_PROCESSOR_NAME} of {CONFIG_NAME}, or one of the following "
		    f"`model_type` keys in its {CONFIG_NAME}: {', '.join(c for c in IMAGE_PROCESSOR_MAPPING_NAMES.keys()    )}"    )



	@staticmethod
	def 				lowercase     (					snake_case__ ,					snake_case__    ):
		IMAGE_PROCESSOR_MAPPING.register(__UpperCamelCase ,					__UpperCamelCase    )




'''simple docstring'''




import argparse
import os
import re


_lowerCAmelCase  :		Dict		     =	'src/diffusers'

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

def 			__UpperCamelCase    (    _A    :				Union[str, Any]				)    ->      Dict:




	"""simple docstring"""





	lowerCAmelCase					:    Any      							= _re_indent.search(_A				)
	return "" if search is None else search.groups()[0]

def 			__UpperCamelCase    (    _A    :				Dict					,   _A    :				Any=""					,   _A    :				List[str]=None					,   _A    :				Any=None				)    ->      Tuple:




	"""simple docstring"""





	lowerCAmelCase					:    Optional[int]      							= 0
	lowerCAmelCase					:    Tuple      							= code.split('\n'				)
	if start_prompt is not None:
		while not lines[index].startswith(_A				):
			index += 1
		lowerCAmelCase					:    Optional[int]      							= ['\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					:    Tuple      							= [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:
					lowerCAmelCase					:    List[Any]      							= [lines[index + 1]]
					index += 1
				else:
					lowerCAmelCase					:    int      							= []
			else:
				blocks.append('\n'.join(_A				)				)
				lowerCAmelCase					:    Any      							= [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 			__UpperCamelCase    (    _A    :				Dict				)    ->      List[Any]:




	"""simple docstring"""





	def _inner(_A    :				Tuple				):
		return key(_A				).lower().replace('_'					,   ''				)

	return _inner

def 			__UpperCamelCase    (    _A    :				Union[str, Any]					,   _A    :				Any=None				)    ->      Optional[Any]:




	"""simple docstring"""





	def noop(_A    :				Any				):
		return x

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

	lowerCAmelCase					:    Tuple      							= ignore_underscore(_A				)
	return sorted(_A					,   key=_A				) + sorted(_A					,   key=_A				) + sorted(_A					,   key=_A				)

def 			__UpperCamelCase    (    _A    :				Union[str, Any]				)    ->      int:




	"""simple docstring"""





	def _replace(_A    :				List[Any]				):
		lowerCAmelCase					:    List[Any]      							= match.groups()[0]
		if "," not in imports:
			return F"[{imports}]"
		lowerCAmelCase					:    Dict      							= [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					:    List[str]      							= keys[:-1]
		return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(_A				)]				) + "]"

	lowerCAmelCase					:    Optional[int]      							= 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.
		lowerCAmelCase					:    Optional[Any]      							= 2 if lines[1].strip() == '[' else 1
		lowerCAmelCase					:    List[str]      							= [(i, _re_strip_line.search(_A				).groups()[0]) for i, line in enumerate(lines[idx:-idx]				)]
		lowerCAmelCase					:    Optional[Any]      							= sort_objects(_A					,   key=lambda _A				: x[1]				)
		lowerCAmelCase					:    Dict      							= [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:
			lowerCAmelCase					:    Optional[int]      							= _re_bracket_content.sub(_replace					,   lines[1]				)
		else:
			lowerCAmelCase					:    List[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					:    int      							= keys[:-1]
			lowerCAmelCase					:    Tuple      							= 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
		lowerCAmelCase					:    Union[str, Any]      							= _re_bracket_content.sub(_replace					,   _A				)
		return import_statement

def 			__UpperCamelCase    (    _A    :				str					,   _A    :				Tuple=True				)    ->      Optional[Any]:




	"""simple docstring"""





	with open(_A					,   'r'				) as f:
		lowerCAmelCase					:    Optional[int]      							= f.read()

	if "_import_structure" not in code:
		return

	# Blocks of indent level 0
	lowerCAmelCase					:    List[Any]      							= split_code_in_indented_blocks(
	    _A					,   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(_A				) - 1				):
		# Check if the block contains some `_import_structure`s thingy to sort.
		lowerCAmelCase					:    List[str]      							= main_blocks[block_idx]
		lowerCAmelCase					:    Union[str, Any]      							= block.split('\n'				)

		# Get to the start of the imports.
		lowerCAmelCase					:    Optional[Any]      							= 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]:
				lowerCAmelCase					:    Optional[Any]      							= len(_A				)
			else:
				line_idx += 1
		if line_idx >= len(_A				):
			continue

		# Ignore beginning and last line: they don't contain anything.
		lowerCAmelCase					:    str      							= '\n'.join(block_lines[line_idx:-1]				)
		lowerCAmelCase					:    str      							= get_indent(block_lines[1]				)
		# Slit the internal block into blocks of indent level 1.
		lowerCAmelCase					:    Optional[Any]      							= split_code_in_indented_blocks(_A					,   indent_level=_A				)
		# 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					:    int      							= [(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.
		lowerCAmelCase					:    Dict      							= [(i, key) for i, key in enumerate(_A				) if key is not None]
		lowerCAmelCase					:    List[Any]      							= [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.
		lowerCAmelCase					:    int      							= 0
		lowerCAmelCase					:    Dict      							= []
		for i in range(len(_A				)				):
			if keys[i] is None:
				reordered_blocks.append(internal_blocks[i]				)
			else:
				lowerCAmelCase					:    str      							= sort_objects_in_import(internal_blocks[sorted_indices[count]]				)
				reordered_blocks.append(_A				)
				count += 1

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

	if code != "\n".join(_A				):
		if check_only:
			return True
		else:
			print(F"Overwriting {file}."				)
			with open(_A					,   'w'				) as f:
				f.write('\n'.join(_A				)				)

def 			__UpperCamelCase    (    _A    :				Tuple=True				)    ->      Any:




	"""simple docstring"""





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


if __name__ == "__main__":
				_lowerCAmelCase  :		Union[str, Any]		     =	argparse.ArgumentParser()
				parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
				_lowerCAmelCase  :		Optional[int]		     =	parser.parse_args()

				sort_imports_in_all_inits(check_only=args.check_only)
