

import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowerCAmelCase__             =		"""src/transformers"""

# Matches is_xxx_available()
lowerCAmelCase__             =		re.compile(R"""is\_([a-z_]*)_available()""")
# Matches from xxx import bla
lowerCAmelCase__             =		re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
lowerCAmelCase__             =		re.compile(R"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")


lowerCAmelCase__             =		"""
{0} = None
"""

lowerCAmelCase__             =		"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


lowerCAmelCase__             =		"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""






def        lowerCamelCase_  (				UpperCAmelCase_				:  List[str]						)    ->					List[str]:




	'''simple docstring'''




	if _re_test_backend.search(UpperCAmelCase_						) is None:
		return None
	_UpperCamelCase :		List[Any]								=    [b[0] for b in _re_backend.findall(UpperCAmelCase_						)]
	backends.sort()
	return "_and_".join(UpperCAmelCase_						)






def        lowerCamelCase_  (				)    ->					Dict:




	'''simple docstring'''




	with open(os.path.join(UpperCAmelCase_				,							'__init__.py'						)				,							'r'				,							encoding='utf-8'				,							newline='\n'						) as f:
		_UpperCamelCase :		Union[str, Any]								=    f.readlines()

	# Get to the point we do the actual imports for type checking
	_UpperCamelCase :		Optional[Any]								=    0
	while not lines[line_index].startswith('if TYPE_CHECKING'						):
		line_index += 1

	_UpperCamelCase :		Optional[Any]								=    {}
	# Go through the end of the file
	while line_index < len(UpperCAmelCase_						):
		# If the line is an if is_backend_available, we grab all objects associated.
		_UpperCamelCase :		str								=    find_backend(lines[line_index]						)
		if backend is not None:
			while not lines[line_index].startswith('    else:'						):
				line_index += 1
			line_index += 1

			_UpperCamelCase :		Optional[Any]								=    []
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]						) <= 1 or lines[line_index].startswith(' ' * 8						):
				_UpperCamelCase :		Union[str, Any]								=    lines[line_index]
				_UpperCamelCase :		int								=    _re_single_line_import.search(UpperCAmelCase_						)
				if single_line_import_search is not None:
					objects.extend(single_line_import_search.groups()[0].split(', '						)						)
				elif line.startswith(' ' * 1_2						):
					objects.append(line[1_2:-2]						)
				line_index += 1

			_UpperCamelCase :		List[str]								=    objects
		else:
			line_index += 1

	return backend_specific_objects






def        lowerCamelCase_  (				UpperCAmelCase_				:  str				,							UpperCAmelCase_				:  List[Any]						)    ->					Any:




	'''simple docstring'''




	if name.isupper():
		return DUMMY_CONSTANT.format(UpperCAmelCase_						)
	elif name.islower():
		return DUMMY_FUNCTION.format(UpperCAmelCase_				,							UpperCAmelCase_						)
	else:
		return DUMMY_CLASS.format(UpperCAmelCase_				,							UpperCAmelCase_						)






def        lowerCamelCase_  (				UpperCAmelCase_				:  int=None						)    ->					List[str]:




	'''simple docstring'''




	if backend_specific_objects is None:
		_UpperCamelCase :		List[str]								=    read_init()
	# For special correspondence backend to module name as used in the function requires_modulename
	_UpperCamelCase :		List[str]								=    {}

	for backend, objects in backend_specific_objects.items():
		_UpperCamelCase :		List[Any]								=    '[' + ', '.join(F'''"{b}"''' for b in backend.split('_and_'						)						) + ']'
		_UpperCamelCase :		int								=    '# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
		dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
		dummy_file += "\n".join([create_dummy_object(UpperCAmelCase_				,							UpperCAmelCase_						) for o in objects]						)
		_UpperCamelCase :		int								=    dummy_file

	return dummy_files






def        lowerCamelCase_  (				UpperCAmelCase_				:  List[Any]=False						)    ->					int:




	'''simple docstring'''




	_UpperCamelCase :		List[str]								=    create_dummy_files()
	# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
	_UpperCamelCase :		Union[str, Any]								=    {'torch': 'pt'}

	# Locate actual dummy modules and read their content.
	_UpperCamelCase :		int								=    os.path.join(UpperCAmelCase_				,							'utils'						)
	_UpperCamelCase :		Union[str, Any]								=    {
	    backend: os.path.join(UpperCAmelCase_				,							F'''dummy_{short_names.get(UpperCAmelCase_				,							UpperCAmelCase_						)}_objects.py'''						)
	    for backend in dummy_files.keys()
	}

	_UpperCamelCase :		Any								=    {}
	for backend, file_path in dummy_file_paths.items():
		if os.path.isfile(UpperCAmelCase_						):
			with open(UpperCAmelCase_				,							'r'				,							encoding='utf-8'				,							newline='\n'						) as f:
				_UpperCamelCase :		Union[str, Any]								=    f.read()
		else:
			_UpperCamelCase :		Optional[int]								=    ''

	for backend in dummy_files.keys():
		if dummy_files[backend] != actual_dummies[backend]:
			if overwrite:
				print(
				    F'''Updating transformers.utils.dummy_{short_names.get(UpperCAmelCase_				,							UpperCAmelCase_						)}_objects.py as the main '''
				    '__init__ has new objects.'						)
				with open(dummy_file_paths[backend]				,							'w'				,							encoding='utf-8'				,							newline='\n'						) as f:
					f.write(dummy_files[backend]						)
			else:
				raise ValueError(
				    'The main __init__ has objects that are not present in '
				    F'''transformers.utils.dummy_{short_names.get(UpperCAmelCase_				,							UpperCAmelCase_						)}_objects.py. Run `make fix-copies` '''
				    'to fix this.'						)


if __name__ == "__main__":
							lowerCAmelCase__             =		argparse.ArgumentParser()
							parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
							lowerCAmelCase__             =		parser.parse_args()

							check_dummies(args.fix_and_overwrite)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__             =		{"""configuration_vit_hybrid""": ["""VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTHybridConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		[
							    """VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """ViTHybridForImageClassification""",
							    """ViTHybridModel""",
							    """ViTHybridPreTrainedModel""",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		["""ViTHybridImageProcessor"""]


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							lowerCAmelCase__             =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




