




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
UpperCamelCase__    			=			"""src/diffusers"""

# Matches is_xxx_available()
UpperCamelCase__    			=			re.compile(R"""is\_([a-z_]*)_available\(\)""")
# Matches from xxx import bla
UpperCamelCase__    			=			re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")


UpperCamelCase__    			=			"""
{0} = None
"""

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

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

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


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







def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple     ):
					__lowerCAmelCase				   =       _re_backend.findall(SCREAMING_SNAKE_CASE_     )
					if len(SCREAMING_SNAKE_CASE_     ) == 0:
										return None

					return "_and_".join(SCREAMING_SNAKE_CASE_     )







def 	_a      (						):
					with open(os.path.join(SCREAMING_SNAKE_CASE_      ,      "__init__.py"     )      ,      "r"      ,      encoding="utf-8"      ,      newline="\n"     ) as f:
										__lowerCAmelCase				   =       f.readlines()

					# Get to the point we do the actual imports for type checking
					__lowerCAmelCase				   =       0
					__lowerCAmelCase				   =       {}
					# Go through the end of the file
					while line_index < len(SCREAMING_SNAKE_CASE_     ):
										# If the line contains is_backend_available, we grab all objects associated with the `else` block
										__lowerCAmelCase				   =       find_backend(lines[line_index]     )
										if backend is not None:
															while not lines[line_index].startswith("else:"     ):
																				line_index += 1
															line_index += 1
															__lowerCAmelCase				   =       []
															# Until we unindent, add backend objects to the list
															while line_index < len(SCREAMING_SNAKE_CASE_     ) and len(lines[line_index]     ) > 1:
																				__lowerCAmelCase				   =       lines[line_index]
																				__lowerCAmelCase				   =       _re_single_line_import.search(SCREAMING_SNAKE_CASE_     )
																				if single_line_import_search is not None:
																									objects.extend(single_line_import_search.groups()[0].split(", "     )     )
																				elif line.startswith(" " * 8     ):
																									objects.append(line[8:-2]     )
																				line_index += 1

															if len(SCREAMING_SNAKE_CASE_     ) > 0:
																				__lowerCAmelCase				   =       objects
										else:
															line_index += 1

					return backend_specific_objects







def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					if name.isupper():
										return DUMMY_CONSTANT.format(SCREAMING_SNAKE_CASE_     )
					elif name.islower():
										return DUMMY_FUNCTION.format(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
					else:
										return DUMMY_CLASS.format(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )







def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]=None     ):
					if backend_specific_objects is None:
										__lowerCAmelCase				   =       read_init()
					# For special correspondence backend to module name as used in the function requires_modulename
					__lowerCAmelCase				   =       {}

					for backend, objects in backend_specific_objects.items():
										__lowerCAmelCase				   =       "[" + ", ".join(F"""\"{b}\"""" for b in backend.split("_and_"     )     ) + "]"
										__lowerCAmelCase				   =       "# 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(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ) for o in objects]     )
										__lowerCAmelCase				   =       dummy_file

					return dummy_files







def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]=False     ):
					__lowerCAmelCase				   =       create_dummy_files()
					# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
					__lowerCAmelCase				   =       {"torch": "pt"}

					# Locate actual dummy modules and read their content.
					__lowerCAmelCase				   =       os.path.join(SCREAMING_SNAKE_CASE_      ,      "utils"     )
					__lowerCAmelCase				   =       {
					    backend: os.path.join(SCREAMING_SNAKE_CASE_      ,      F"""dummy_{short_names.get(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )}_objects.py"""     )
					    for backend in dummy_files.keys()
					}

					__lowerCAmelCase				   =       {}
					for backend, file_path in dummy_file_paths.items():
										if os.path.isfile(SCREAMING_SNAKE_CASE_     ):
															with open(SCREAMING_SNAKE_CASE_      ,      "r"      ,      encoding="utf-8"      ,      newline="\n"     ) as f:
																				__lowerCAmelCase				   =       f.read()
										else:
															__lowerCAmelCase				   =       ""

					for backend in dummy_files.keys():
										if dummy_files[backend] != actual_dummies[backend]:
															if overwrite:
																				print(
																				    F"""Updating diffusers.utils.dummy_{short_names.get(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )}_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"""diffusers.utils.dummy_{short_names.get(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )}_objects.py. Run `make fix-copies` """
																				    "to fix this."     )


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

					check_dummies(args.fix_and_overwrite)







import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

_lowerCAmelCase					:			List[str]  				=			{
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}






class 	__magic_name__    (			lowerCAmelCase_      ):
			SCREAMING_SNAKE_CASE							   =						'git_vision_model'





			def __init__(		self					,  __snake_case=768					,  __snake_case=3072					,  __snake_case=12					,  __snake_case=12					,  __snake_case=3					,  __snake_case=224					,  __snake_case=16					,  __snake_case="quick_gelu"					,  __snake_case=1e-5					,  __snake_case=0.0					,  __snake_case=0.02					,  **__snake_case					,  )   -> int:




						'''simple docstring'''
						super().__init__(**__snake_case					)

						__a        =hidden_size
						__a        =intermediate_size
						__a        =num_hidden_layers
						__a        =num_attention_heads
						__a        =num_channels
						__a        =patch_size
						__a        =image_size
						__a        =initializer_range
						__a        =attention_dropout
						__a        =layer_norm_eps
						__a        =hidden_act





			@classmethod
			def 		__magic_name__    (		cls					,  __snake_case					,  **__snake_case					)   -> "PretrainedConfig":




						'''simple docstring'''
						cls._set_token_in_kwargs(__snake_case					)

						__a      ,    __a        =cls.get_config_dict(__snake_case					,  **__snake_case					)

						# get the vision config dict if we are loading from GITConfig
						if config_dict.get('model_type'					) == "git":
									__a        =config_dict['vision_config']

						if "model_type" in config_dict and hasattr(cls					,  'model_type'					) and config_dict["model_type"] != cls.model_type:
									logger.warning(
									    f'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
									    f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'					)

						return cls.from_dict(__snake_case					,  **__snake_case					)






class 	__magic_name__    (			lowerCAmelCase_      ):
			SCREAMING_SNAKE_CASE							   =						'git'





			def __init__(		self					,  __snake_case=None					,  __snake_case=3_0522					,  __snake_case=768					,  __snake_case=6					,  __snake_case=12					,  __snake_case=3072					,  __snake_case="gelu"					,  __snake_case=0.1					,  __snake_case=0.1					,  __snake_case=1024					,  __snake_case=0.02					,  __snake_case=1e-12					,  __snake_case=0					,  __snake_case="absolute"					,  __snake_case=True					,  __snake_case=False					,  __snake_case=101					,  __snake_case=102					,  __snake_case=None					,  **__snake_case					,  )   -> Optional[int]:




						'''simple docstring'''
						super().__init__(bos_token_id=__snake_case					,  eos_token_id=__snake_case					,  pad_token_id=__snake_case					,  **__snake_case					)

						if vision_config is None:
									__a        ={}
									logger.info('vision_config is None. initializing the GitVisionConfig with default values.'					)

						__a        =GitVisionConfig(**__snake_case					)
						__a        =vocab_size
						__a        =hidden_size
						__a        =num_hidden_layers
						__a        =num_attention_heads
						__a        =hidden_act
						__a        =intermediate_size
						__a        =hidden_dropout_prob
						__a        =attention_probs_dropout_prob
						__a        =max_position_embeddings
						__a        =initializer_range
						__a        =layer_norm_eps
						__a        =position_embedding_type
						__a        =use_cache
						__a        =tie_word_embeddings
						__a        =num_image_with_embedding

						__a        =bos_token_id
						__a        =eos_token_id





			def 		__magic_name__    (		self					)   -> Optional[Any]:




						'''simple docstring'''
						__a        =copy.deepcopy(self.__dict__					)
						__a        =self.vision_config.to_dict()
						__a        =self.__class__.model_type
						return output






