

'''simple docstring'''
import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCamelCase :      Optional[Any]					 =     "src/diffusers"
lowerCamelCase :      str					 =     "."


# This is to make sure the diffusers module imported is the one in the repo.
lowerCamelCase :      Optional[Any]					 =     importlib.util.spec_from_file_location(
    "diffusers",
    os.path.join(DIFFUSERS_PATH, "__init__.py"),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowerCamelCase :      List[Any]					 =     spec.loader.load_module()


def        _lowerCAmelCase					(						_UpperCamelCase						:     str							, _UpperCamelCase						:     Optional[int]				)      ->			str:
     """simple docstring"""




     return line.startswith(_UpperCamelCase				) or len(_UpperCamelCase				) <= 1 or re.search(r'^\s*\)(\s*->.*:|:)\s*$'							, _UpperCamelCase				) is not None


def        _lowerCAmelCase					(						_UpperCamelCase						:     int				)      ->			Optional[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =object_name.split('.'				)
     _SCREAMING_SNAKE_CASE							    =0

     # First let's find the module where our object lives.
     _SCREAMING_SNAKE_CASE							    =parts[i]
     while i < len(_UpperCamelCase				) and not os.path.isfile(os.path.join(_UpperCamelCase							, f"{module}.py"				)				):
          i += 1
          if i < len(_UpperCamelCase				):
               _SCREAMING_SNAKE_CASE							    =os.path.join(_UpperCamelCase							, parts[i]				)
     if i >= len(_UpperCamelCase				):
          raise ValueError(f"`object_name` should begin with the name of a module of diffusers but got {object_name}."				)

     with open(os.path.join(_UpperCamelCase							, f"{module}.py"				)							, 'r'							, encoding='utf-8'							, newline='\n'				) as f:
          _SCREAMING_SNAKE_CASE							    =f.readlines()

     # Now let's find the class / func in the code!
     _SCREAMING_SNAKE_CASE							    =''
     _SCREAMING_SNAKE_CASE							    =0
     for name in parts[i + 1 :]:
          while (
              line_index < len(_UpperCamelCase				) and re.search(rf"^{indent}(class|def)\s+{name}(\(|\:)"							, lines[line_index]				) is None
          ):
               line_index += 1
          indent += "    "
          line_index += 1

     if line_index >= len(_UpperCamelCase				):
          raise ValueError(f" {object_name} does not match any function or class in {module}."				)

     # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
     _SCREAMING_SNAKE_CASE							    =line_index
     while line_index < len(_UpperCamelCase				) and _should_continue(lines[line_index]							, _UpperCamelCase				):
          line_index += 1
     # Clean up empty lines at the end (if any).
     while len(lines[line_index - 1]				) <= 1:
          line_index -= 1

     _SCREAMING_SNAKE_CASE							    =lines[start_index:line_index]
     return "".join(_UpperCamelCase				)


lowerCamelCase :      Optional[int]					 =     re.compile(r"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
lowerCamelCase :      Any					 =     re.compile(r"^\s*(\S+)->(\S+)(\s+.*|$)")
lowerCamelCase :      Any					 =     re.compile(r"<FILL\s+[^>]*>")


def        _lowerCAmelCase					(						_UpperCamelCase						:     Union[str, Any]				)      ->			Tuple:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =code.split('\n'				)
     _SCREAMING_SNAKE_CASE							    =0
     while idx < len(_UpperCamelCase				) and len(lines[idx]				) == 0:
          idx += 1
     if idx < len(_UpperCamelCase				):
          return re.search(r'^(\s*)\S'							, lines[idx]				).groups()[0]
     return ""


def        _lowerCAmelCase					(						_UpperCamelCase						:     List[str]				)      ->			str:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =len(get_indent(_UpperCamelCase				)				) > 0
     if has_indent:
          _SCREAMING_SNAKE_CASE							    =f"class Bla:\n{code}"
     _SCREAMING_SNAKE_CASE							    =black.Mode(target_versions={black.TargetVersion.PYaa}							, line_length=1_19							, preview=_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =black.format_str(_UpperCamelCase							, mode=_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =style_docstrings_in_code(_UpperCamelCase				)
     return result[len('class Bla:\n'				) :] if has_indent else result


def        _lowerCAmelCase					(						_UpperCamelCase						:     str							, _UpperCamelCase						:     List[Any]=False				)      ->			Optional[Any]:
     """simple docstring"""




     with open(_UpperCamelCase							, 'r'							, encoding='utf-8'							, newline='\n'				) as f:
          _SCREAMING_SNAKE_CASE							    =f.readlines()
     _SCREAMING_SNAKE_CASE							    =[]
     _SCREAMING_SNAKE_CASE							    =0
     # Not a for loop cause `lines` is going to change (if `overwrite=True`).
     while line_index < len(_UpperCamelCase				):
          _SCREAMING_SNAKE_CASE							    =_re_copy_warning.search(lines[line_index]				)
          if search is None:
               line_index += 1
               continue

          # There is some copied code here, let's retrieve the original.
          _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =search.groups()
          _SCREAMING_SNAKE_CASE							    =find_code_in_diffusers(_UpperCamelCase				)
          _SCREAMING_SNAKE_CASE							    =get_indent(_UpperCamelCase				)

          _SCREAMING_SNAKE_CASE							    =line_index + 1 if indent == theoretical_indent else line_index + 2
          _SCREAMING_SNAKE_CASE							    =theoretical_indent
          _SCREAMING_SNAKE_CASE							    =start_index

          # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
          _SCREAMING_SNAKE_CASE							    =True
          while line_index < len(_UpperCamelCase				) and should_continue:
               line_index += 1
               if line_index >= len(_UpperCamelCase				):
                    break
               _SCREAMING_SNAKE_CASE							    =lines[line_index]
               _SCREAMING_SNAKE_CASE							    =_should_continue(_UpperCamelCase							, _UpperCamelCase				) and re.search(f"^{indent}# End copy"							, _UpperCamelCase				) is None
          # Clean up empty lines at the end (if any).
          while len(lines[line_index - 1]				) <= 1:
               line_index -= 1

          _SCREAMING_SNAKE_CASE							    =lines[start_index:line_index]
          _SCREAMING_SNAKE_CASE							    =''.join(_UpperCamelCase				)

          # Remove any nested `Copied from` comments to avoid circular copies
          _SCREAMING_SNAKE_CASE							    =[line for line in theoretical_code.split('\n'				) if _re_copy_warning.search(_UpperCamelCase				) is None]
          _SCREAMING_SNAKE_CASE							    ='\n'.join(_UpperCamelCase				)

          # Before comparing, use the `replace_pattern` on the original code.
          if len(_UpperCamelCase				) > 0:
               _SCREAMING_SNAKE_CASE							    =replace_pattern.replace('with'							, ''				).split(','				)
               _SCREAMING_SNAKE_CASE							    =[_re_replace_pattern.search(_UpperCamelCase				) for p in patterns]
               for pattern in patterns:
                    if pattern is None:
                         continue
                    _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =pattern.groups()
                    _SCREAMING_SNAKE_CASE							    =re.sub(_UpperCamelCase							, _UpperCamelCase							, _UpperCamelCase				)
                    if option.strip() == "all-casing":
                         _SCREAMING_SNAKE_CASE							    =re.sub(obja.lower()							, obja.lower()							, _UpperCamelCase				)
                         _SCREAMING_SNAKE_CASE							    =re.sub(obja.upper()							, obja.upper()							, _UpperCamelCase				)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
               _SCREAMING_SNAKE_CASE							    =blackify(lines[start_index - 1] + theoretical_code				)
               _SCREAMING_SNAKE_CASE							    =theoretical_code[len(lines[start_index - 1]				) :]

          # Test for a diff and act accordingly.
          if observed_code != theoretical_code:
               diffs.append([object_name, start_index]				)
               if overwrite:
                    _SCREAMING_SNAKE_CASE							    =lines[:start_index] + [theoretical_code] + lines[line_index:]
                    _SCREAMING_SNAKE_CASE							    =start_index + 1

     if overwrite and len(_UpperCamelCase				) > 0:
          # Warn the user a file has been modified.
          print(f"Detected changes, rewriting {filename}."				)
          with open(_UpperCamelCase							, 'w'							, encoding='utf-8'							, newline='\n'				) as f:
               f.writelines(_UpperCamelCase				)
     return diffs


def        _lowerCAmelCase					(						_UpperCamelCase						:     bool = False				)      ->			List[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =glob.glob(os.path.join(_UpperCamelCase							, '**/*.py'				)							, recursive=_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =[]
     for filename in all_files:
          _SCREAMING_SNAKE_CASE							    =is_copy_consistent(_UpperCamelCase							, _UpperCamelCase				)
          diffs += [f"- {filename}: copy does not match {d[0]} at line {d[1]}" for d in new_diffs]
     if not overwrite and len(_UpperCamelCase				) > 0:
          _SCREAMING_SNAKE_CASE							    ='\n'.join(_UpperCamelCase				)
          raise Exception(
              'Found the following copy inconsistencies:\n'
              + diff
              + '\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'				)


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

     check_copies(args.fix_and_overwrite)



'''simple docstring'''
import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel


def        _lowerCAmelCase					(						_UpperCamelCase						:     Dict							, _UpperCamelCase						:     Any=False				)      ->			Optional[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =OmegaConf.load(_UpperCamelCase				)
     if display:
          print(yaml.dump(OmegaConf.to_container(_UpperCamelCase				)				)				)
     return config


def        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple							, _UpperCamelCase						:     Optional[Any]=None							, _UpperCamelCase						:     Union[str, Any]=None				)      ->			Optional[Any]:
     """simple docstring"""




     if conf_path is None:
          _SCREAMING_SNAKE_CASE							    ='./model_checkpoints/vqgan_only.yaml'
     _SCREAMING_SNAKE_CASE							    =load_config(_UpperCamelCase							, display=_UpperCamelCase				)
     _SCREAMING_SNAKE_CASE							    =VQModel(**config.model.params				)
     if ckpt_path is None:
          _SCREAMING_SNAKE_CASE							    ='./model_checkpoints/vqgan_only.pt'
     _SCREAMING_SNAKE_CASE							    =torch.load(_UpperCamelCase							, map_location=_UpperCamelCase				)
     if ".ckpt" in ckpt_path:
          _SCREAMING_SNAKE_CASE							    =sd['state_dict']
     model.load_state_dict(_UpperCamelCase							, strict=_UpperCamelCase				)
     model.to(_UpperCamelCase				)
     del sd
     return model


def        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple							, _UpperCamelCase						:     int				)      ->			Dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =model.encode(_UpperCamelCase				)
     print(f"VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}"				)
     _SCREAMING_SNAKE_CASE							    =model.decode(_UpperCamelCase				)
     return xrec


def        _lowerCAmelCase					(						_UpperCamelCase						:     Dict							, _UpperCamelCase						:     List[str]=False				)      ->			int:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE							    =string.rsplit('.'							, 1				)
     if reload:
          _SCREAMING_SNAKE_CASE							    =importlib.import_module(_UpperCamelCase				)
          importlib.reload(_UpperCamelCase				)
     return getattr(importlib.import_module(_UpperCamelCase							, package=_UpperCamelCase				)							, cls				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     str				)      ->			List[str]:
     """simple docstring"""




     if "target" not in config:
          raise KeyError('Expected key `target` to instantiate.'				)
     return get_obj_from_str(config['target']				)(**config.get('params'							, {}				)				)


def        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple							, _UpperCamelCase						:     List[Any]							, _UpperCamelCase						:     List[str]=True							, _UpperCamelCase						:     int=True				)      ->			Union[str, Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =instantiate_from_config(_UpperCamelCase				)
     if sd is not None:
          model.load_state_dict(_UpperCamelCase				)
     if gpu:
          model.cuda()
     if eval_mode:
          model.eval()
     return {"model": model}







def        _lowerCAmelCase					(						_UpperCamelCase						:     Union[str, Any]							, _UpperCamelCase						:     Optional[Any]							, _UpperCamelCase						:     Union[str, Any]							, _UpperCamelCase						:     Optional[int]				)      ->			List[Any]:
     """simple docstring"""




     if ckpt:
          _SCREAMING_SNAKE_CASE							    =torch.load(_UpperCamelCase							, map_location='cpu'				)
          _SCREAMING_SNAKE_CASE							    =pl_sd['global_step']
          print(f"loaded model from global step {global_step}."				)
     else:
          _SCREAMING_SNAKE_CASE							    ={'state_dict': None}
          _SCREAMING_SNAKE_CASE							    =None
     _SCREAMING_SNAKE_CASE							    =load_model_from_config(config.model							, pl_sd['state_dict']							, gpu=_UpperCamelCase							, eval_mode=_UpperCamelCase				)['model']
     return model, global_step
