



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     :							List[Any]  							=				"src/diffusers"

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


__lowerCamelCase     :							List[str]  							=				"\n{0} = None\n"

__lowerCamelCase     :							Dict  							=				"\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n"


__lowerCamelCase     :							Union[str, Any]  							=				"\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"

def    lowerCamelCase_(lowerCamelCase_    ) ->       Optional[int]:
						UpperCAmelCase         =     _re_backend.findall(lowerCamelCase_    )
						if len(lowerCamelCase_    ) == 0:
												return None

						return "_and_".join(lowerCamelCase_    )

def    lowerCamelCase_() ->       Any:
						with open(os.path.join(lowerCamelCase_    ,   "__init__.py"    )    ,   "r"    ,   encoding="utf-8"    ,   newline="\n"    ) as f:
												UpperCAmelCase         =     f.readlines()

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

						return backend_specific_objects

def    lowerCamelCase_(lowerCamelCase_    ,   lowerCamelCase_    ) ->       Any:
						if name.isupper():
												return DUMMY_CONSTANT.format(lowerCamelCase_    )
						elif name.islower():
												return DUMMY_FUNCTION.format(lowerCamelCase_    ,   lowerCamelCase_    )
						else:
												return DUMMY_CLASS.format(lowerCamelCase_    ,   lowerCamelCase_    )

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

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

						return dummy_files

def    lowerCamelCase_(lowerCamelCase_=False    ) ->       Optional[Any]:
						UpperCAmelCase         =     create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						UpperCAmelCase         =     {"torch": "pt"}

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

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

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


if __name__ == "__main__":
	__lowerCamelCase     :							List[Any]  							=				argparse.ArgumentParser()
	parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
	__lowerCamelCase     :							Dict  							=				parser.parse_args()

	check_dummies(args.fix_and_overwrite)








import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
		import torch





@require_torch
@require_optimum
@slow
class  __magic_name__   (							unittest.TestCase						):






		def SCREAMING_SNAKE_CASE_			(						self      :     Tuple      )				->					Optional[int]:
								'''simple docstring'''







								UpperCAmelCase         =     "hf-internal-testing/tiny-random-t5"
								UpperCAmelCase         =     AutoTokenizer.from_pretrained(UpperCamelCase__      )
								UpperCAmelCase         =     AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer("This is me"				,		return_tensors="pt"      )

								UpperCAmelCase         =     model.to_bettertransformer()

								self.assertTrue(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

								UpperCAmelCase         =     model.generate(**UpperCamelCase__      )

								UpperCAmelCase         =     model.reverse_bettertransformer()

								self.assertFalse(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()      )      )

								with tempfile.TemporaryDirectory() as tmpdirname:
														model.save_pretrained(UpperCamelCase__      )

														UpperCAmelCase         =     AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase__      )

														self.assertFalse(
														    any("BetterTransformer" in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()      )      )

														UpperCAmelCase         =     model_reloaded.generate(**UpperCamelCase__      )
														self.assertTrue(torch.allclose(UpperCamelCase__				,		UpperCamelCase__      )      )







		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Optional[int]:
								'''simple docstring'''







								UpperCAmelCase         =     "hf-internal-testing/tiny-random-t5"
								UpperCAmelCase         =     AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase__      )

								UpperCAmelCase         =     model.to_bettertransformer()

								with tempfile.TemporaryDirectory() as tmpdirname:
														with self.assertRaises(UpperCamelCase__      ):
																				model.save_pretrained(UpperCamelCase__      )

														UpperCAmelCase         =     model.reverse_bettertransformer()
														model.save_pretrained(UpperCamelCase__      )



