
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
lowercase        =  '''src/diffusers'''

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


lowercase        =  '''
{0} = None
'''

lowercase        =  '''
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})
'''


lowercase        =  '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Dict       )  ->    Dict:
							lowerCamelCase_							  =					_re_backend.findall(UpperCAmelCase__       )
							if len(UpperCAmelCase__       ) == 0:
														return None

							return "_and_".join(UpperCAmelCase__       )



def      __lowerCAmelCase						(							)  ->    Optional[int]:
							with open(os.path.join(UpperCAmelCase__			,				"""__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(UpperCAmelCase__       ):
														# 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(UpperCAmelCase__       ) and len(lines[line_index]       ) > 1:
																												lowerCamelCase_							  =					lines[line_index]
																												lowerCamelCase_							  =					_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(""" """ * 8       ):
																																			objects.append(line[8:-2]       )
																												line_index += 1

																					if len(UpperCAmelCase__       ) > 0:
																												lowerCamelCase_							  =					objects
														else:
																					line_index += 1

							return backend_specific_objects



def      __lowerCAmelCase						(							UpperCAmelCase__				:      List[str]			,				UpperCAmelCase__				:      List[str]       )  ->    List[Any]:
							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__				:      Tuple=None       )  ->    Any:
							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(UpperCAmelCase__			,				UpperCAmelCase__       ) for o in objects]       )
														lowerCamelCase_							  =					dummy_file

							return dummy_files



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Union[str, Any]=False       )  ->    Optional[Any]:
							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(UpperCAmelCase__			,				"""utils"""       )
							lowerCamelCase_							  =					{
							    backend: os.path.join(UpperCAmelCase__			,				F'''dummy_{short_names.get(UpperCAmelCase__			,				UpperCAmelCase__       )}_objects.py'''       )
							    for backend in dummy_files.keys()
							}

							lowerCamelCase_							  =					{}
							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:
																												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(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'''diffusers.utils.dummy_{short_names.get(UpperCAmelCase__			,				UpperCAmelCase__       )}_objects.py. Run `make fix-copies` '''
																												    """to fix this."""       )


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

		check_dummies(args.fix_and_overwrite)







from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class       __A(				UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    ['''image_processor''', '''tokenizer''']
					SCREAMING_SNAKE_CASE			    =    '''BlipImageProcessor'''
					SCREAMING_SNAKE_CASE			    =    '''AutoTokenizer'''

					def __init__(	self					:     Union[str, Any]   ,					__UpperCamelCase					:     List[Any]   ,					__UpperCamelCase					:     List[str]   ):
												lowerCamelCase_							  =					False
												super().__init__(__UpperCamelCase   ,					__UpperCamelCase   )
												lowerCamelCase_							  =					self.image_processor

					def __call__(	self					:     Any   ,					__UpperCamelCase					:     ImageInput = None   ,					__UpperCamelCase					:     Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None   ,					__UpperCamelCase					:     bool = True   ,					__UpperCamelCase					:     Union[bool, str, PaddingStrategy] = False   ,					__UpperCamelCase					:     Union[bool, str, TruncationStrategy] = None   ,					__UpperCamelCase					:     Optional[int] = None   ,					__UpperCamelCase					:     int = 0   ,					__UpperCamelCase					:     Optional[int] = None   ,					__UpperCamelCase					:     Optional[bool] = None   ,					__UpperCamelCase					:     bool = False   ,					__UpperCamelCase					:     bool = False   ,					__UpperCamelCase					:     bool = False   ,					__UpperCamelCase					:     bool = False   ,					__UpperCamelCase					:     bool = False   ,					__UpperCamelCase					:     bool = True   ,					__UpperCamelCase					:     Optional[Union[str, TensorType]] = None   ,					**__UpperCamelCase					:     Optional[Any]   ,					):
												if images is None and text is None:
																			raise ValueError("""You have to specify either images or text."""   )

												# Get only text
												if images is None:
																			lowerCamelCase_							  =					self.tokenizer
																			lowerCamelCase_							  =					self.tokenizer(
																			    text=__UpperCamelCase   ,					add_special_tokens=__UpperCamelCase   ,					padding=__UpperCamelCase   ,					truncation=__UpperCamelCase   ,					max_length=__UpperCamelCase   ,					stride=__UpperCamelCase   ,					pad_to_multiple_of=__UpperCamelCase   ,					return_attention_mask=__UpperCamelCase   ,					return_overflowing_tokens=__UpperCamelCase   ,					return_special_tokens_mask=__UpperCamelCase   ,					return_offsets_mapping=__UpperCamelCase   ,					return_token_type_ids=__UpperCamelCase   ,					return_length=__UpperCamelCase   ,					verbose=__UpperCamelCase   ,					return_tensors=__UpperCamelCase   ,					**__UpperCamelCase   ,					)
																			return text_encoding

												# add pixel_values
												lowerCamelCase_							  =					self.image_processor(__UpperCamelCase   ,					return_tensors=__UpperCamelCase   )

												if text is not None:
																			lowerCamelCase_							  =					self.tokenizer(
																			    text=__UpperCamelCase   ,					add_special_tokens=__UpperCamelCase   ,					padding=__UpperCamelCase   ,					truncation=__UpperCamelCase   ,					max_length=__UpperCamelCase   ,					stride=__UpperCamelCase   ,					pad_to_multiple_of=__UpperCamelCase   ,					return_attention_mask=__UpperCamelCase   ,					return_overflowing_tokens=__UpperCamelCase   ,					return_special_tokens_mask=__UpperCamelCase   ,					return_offsets_mapping=__UpperCamelCase   ,					return_token_type_ids=__UpperCamelCase   ,					return_length=__UpperCamelCase   ,					verbose=__UpperCamelCase   ,					return_tensors=__UpperCamelCase   ,					**__UpperCamelCase   ,					)
												else:
																			lowerCamelCase_							  =					None

												if text_encoding is not None:
																			encoding_image_processor.update(__UpperCamelCase   )

												return encoding_image_processor

					def    lowercase__      (	self					:     Any   ,					*__UpperCamelCase					:     Union[str, Any]   ,					**__UpperCamelCase					:     List[Any]   ):
												return self.tokenizer.batch_decode(*__UpperCamelCase   ,					**__UpperCamelCase   )

					def    lowercase__      (	self					:     List[str]   ,					*__UpperCamelCase					:     List[Any]   ,					**__UpperCamelCase					:     int   ):
												return self.tokenizer.decode(*__UpperCamelCase   ,					**__UpperCamelCase   )



					@property
					# Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
					def    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					self.tokenizer.model_input_names
												lowerCamelCase_							  =					self.image_processor.model_input_names
												return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )





