






'''simple docstring'''





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
a_  			=			'src/diffusers'

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


a_  			=			'\n{0} = None\n'

a_  			=			'\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'


a_  			=			'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'



def       __UpperCAmelCase					(lowercase__					)		->					Optional[int]:

						'''simple docstring'''


						a_					  = _re_backend.findall(_UpperCamelCase					)
						if len(_UpperCamelCase					) == 0:
												return None

						return "_and_".join(_UpperCamelCase					)



def       __UpperCAmelCase					()		->					str:

						'''simple docstring'''


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

						# Get to the point we do the actual imports for type checking
						a_					  = 0
						a_					  = {}
						# 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
												a_					  = find_backend(lines[line_index]					)
												if backend is not None:
																		while not lines[line_index].startswith("else:"					):
																								line_index += 1
																		line_index += 1
																		a_					  = []
																		# Until we unindent, add backend objects to the list
																		while line_index < len(_UpperCamelCase					) and len(lines[line_index]					) > 1:
																								a_					  = lines[line_index]
																								a_					  = _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:
																								a_					  = objects
												else:
																		line_index += 1

						return backend_specific_objects



def       __UpperCAmelCase					(lowercase__						,lowercase__					)		->					List[str]:

						'''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       __UpperCAmelCase					(lowercase__=None					)		->					Optional[int]:

						'''simple docstring'''


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

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

						return dummy_files



def       __UpperCAmelCase					(lowercase__=False					)		->					List[str]:

						'''simple docstring'''


						a_					  = create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						a_					  = {"torch": "pt"}

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

						a_					  = {}
						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:
																								a_					  = f.read()
												else:
																		a_					  = ""

						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__":
							a_  			=			argparse.ArgumentParser()
							parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
							a_  			=			parser.parse_args()

							check_dummies(args.fix_and_overwrite)











'''simple docstring'''
import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


UpperCamelCase__			=      ['small', 'medium', 'large']

UpperCamelCase__			=      'lm_head.decoder.weight'
UpperCamelCase__			=      'lm_head.weight'




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase				):


   """simple docstring"""




   lowercase_						:     Optional[Any]							     =  torch.load(_UpperCamelCase				)
   lowercase_						:     List[Any]							     =  d.pop(_UpperCamelCase				)
   os.makedirs(_UpperCamelCase    ,		exist_ok=_UpperCamelCase				)
   torch.save(_UpperCamelCase    ,		os.path.join(_UpperCamelCase    ,		_UpperCamelCase				)				)


if __name__ == "__main__":
 UpperCamelCase__			=      argparse.ArgumentParser()
 parser.add_argument('--dialogpt_path', default='.', type=str)
 UpperCamelCase__			=      parser.parse_args()
 for MODEL in DIALOGPT_MODELS:
  UpperCamelCase__			=      os.path.join(args.dialogpt_path, f"""{MODEL}_ft.pkl""")
  UpperCamelCase__			=      f"""./DialoGPT-{MODEL}"""
  convert_dialogpt_checkpoint(
      checkpoint_path,
      pytorch_dump_folder_path,
  )




