
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/diffusers"

# 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      ="\n{0} = None\n"

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


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   str				=				_re_backend.findall(UpperCamelCase__		)
      if len(UpperCamelCase__		) == 0:
            return None

      return "_and_".join(UpperCamelCase__		)


def 							SCREAMING_SNAKE_CASE_      (			):
      with open(os.path.join(UpperCamelCase__ ,		'''__init__.py'''		) ,		'''r''' ,		encoding='''utf-8''' ,		newline='''\n'''		) as f:
            UpperCamelCase__    :   List[str]				=				f.readlines()

      # Get to the point we do the actual imports for type checking
      UpperCamelCase__    :   Dict				=				0
      UpperCamelCase__    :   int				=				{}
      # 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
            UpperCamelCase__    :   Tuple				=				find_backend(lines[line_index]		)
            if backend is not None:
                  while not lines[line_index].startswith('''else:'''		):
                        line_index += 1
                  line_index += 1
                  UpperCamelCase__    :   int				=				[]
                  # Until we unindent, add backend objects to the list
                  while line_index < len(UpperCamelCase__		) and len(lines[line_index]		) > 1:
                        UpperCamelCase__    :   Dict				=				lines[line_index]
                        UpperCamelCase__    :   Optional[Any]				=				_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:
                        UpperCamelCase__    :   List[str]				=				objects
            else:
                  line_index += 1

      return backend_specific_objects


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

      for backend, objects in backend_specific_objects.items():
            UpperCamelCase__    :   Tuple				=				'[' + ', '.join(f'''\"{b}\"''' for b in backend.split('''_and_'''		)		) + ']'
            UpperCamelCase__    :   Union[str, Any]				=				'# 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__    :   List[str]				=				dummy_file

      return dummy_files


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__=False		):
      UpperCamelCase__    :   Dict				=				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__    :   List[Any]				=				os.path.join(UpperCamelCase__ ,		'''utils'''		)
      UpperCamelCase__    :   int				=				{
          backend: os.path.join(UpperCamelCase__ ,		f'''dummy_{short_names.get(UpperCamelCase__ ,		UpperCamelCase__		)}_objects.py'''		)
          for backend in dummy_files.keys()
      }

      UpperCamelCase__    :   int				=				{}
      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__    :   List[Any]				=				f.read()
            else:
                  UpperCamelCase__    :   Tuple				=				''

      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__":
    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)




import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


lowerCamelCase      =False
lowerCamelCase      =True
lowerCamelCase      =False


if __name__ == "__main__":
    lowerCamelCase      =argparse.ArgumentParser()

    parser.add_argument(
        "--repo_path",
        default=None,
        type=str,
        required=True,
        help="The config json file corresponding to the architecture.",
    )

    parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")

    lowerCamelCase      =parser.parse_args()

    lowerCamelCase      ={
        "image_size": "sample_size",
        "num_res_blocks": "layers_per_block",
        "block_channels": "block_out_channels",
        "down_blocks": "down_block_types",
        "up_blocks": "up_block_types",
        "downscale_freq_shift": "freq_shift",
        "resnet_num_groups": "norm_num_groups",
        "resnet_act_fn": "act_fn",
        "resnet_eps": "norm_eps",
        "num_head_channels": "attention_head_dim",
    }

    lowerCamelCase      ={
        "time_steps": "time_proj",
        "mid": "mid_block",
        "downsample_blocks": "down_blocks",
        "upsample_blocks": "up_blocks",
    }

    lowerCamelCase      ="" if has_file(args.repo_path, "config.json") else "unet"

    with open(os.path.join(args.repo_path, subfolder, "config.json"), "r", encoding="utf-8") as reader:
        lowerCamelCase      =reader.read()
        lowerCamelCase      =json.loads(text)

    if do_only_config:
        for key in config_parameters_to_change.keys():
            config.pop(key, None)

    if has_file(args.repo_path, "config.json"):
        lowerCamelCase      =UNetaDModel(**config)
    else:
        lowerCamelCase      =UNetaDConditionModel if "ldm-text2im-large-256" in args.repo_path else UNetaDModel
        lowerCamelCase      =class_name(**config)

    if do_only_config:
        model.save_config(os.path.join(args.repo_path, subfolder))

    lowerCamelCase      =dict(model.config)

    if do_only_renaming:
        for key, value in config_parameters_to_change.items():
            if key in config:
                lowerCamelCase      =config[key]
                del config[key]

        lowerCamelCase      =[k.replace("UNetRes", "") for k in config["down_block_types"]]
        lowerCamelCase      =[k.replace("UNetRes", "") for k in config["up_block_types"]]

    if do_only_weights:
        lowerCamelCase      =torch.load(os.path.join(args.repo_path, subfolder, "diffusion_pytorch_model.bin"))

        lowerCamelCase      ={}
        for param_key, param_value in state_dict.items():
            if param_key.endswith(".op.bias") or param_key.endswith(".op.weight"):
                continue
            lowerCamelCase      =False
            for key, new_key in key_parameters_to_change.items():
                if not has_changed and param_key.split(".")[0] == key:
                    lowerCamelCase      =param_value
                    lowerCamelCase      =True
            if not has_changed:
                lowerCamelCase      =param_value

        model.load_state_dict(new_state_dict)
        model.save_pretrained(os.path.join(args.repo_path, subfolder))


