



import argparse
import os
import re


A_		:     Tuple        =     '''src/diffusers'''

# Pattern that looks at the indentation in a line.
A_		:     List[Any]        =     re.compile(r'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
A_		:     str        =     re.compile(r'''^\s*"([^"]+)":''')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
A_		:     Any        =     re.compile(r'''^\s*_import_structure\["([^"]+)"\]''')
# Pattern that matches `"key",` and puts `key` in group 0.
A_		:     Tuple        =     re.compile(r'''^\s*"([^"]+)",\s*$''')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
A_		:     Dict        =     re.compile(r'''\[([^\]]+)\]''')


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Union[str, Any]					):






 '''simple docstring'''

 a						=		_re_indent.search(UpperCAmelCase__					)
 return "" if search is None else search.groups()[0]


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Optional[int] ,					UpperCAmelCase__ :Any="" ,					UpperCAmelCase__ :Tuple=None ,					UpperCAmelCase__ :Optional[Any]=None					):






 '''simple docstring'''

 a						=		0
 a						=		code.split("\n"					)
 if start_prompt is not None:
  while not lines[index].startswith(UpperCAmelCase__					):
   index += 1
  a						=		["\n".join(lines[:index]					)]
 else:
  a						=		[]

 # We split into blocks until we get to the `end_prompt` (or the end of the block).
 a						=		[lines[index]]
 index += 1
 while index < len(UpperCAmelCase__					) and (end_prompt is None or not lines[index].startswith(UpperCAmelCase__					)):
  if len(lines[index]					) > 0 and get_indent(lines[index]					) == indent_level:
   if len(UpperCAmelCase__					) > 0 and get_indent(current_block[-1]					).startswith(indent_level + " "					):
    current_block.append(lines[index]					)
    blocks.append("\n".join(UpperCAmelCase__					)					)
    if index < len(UpperCAmelCase__					) - 1:
     a						=		[lines[index + 1]]
     index += 1
    else:
     a						=		[]
   else:
    blocks.append("\n".join(UpperCAmelCase__					)					)
    a						=		[lines[index]]
  else:
   current_block.append(lines[index]					)
  index += 1

 # Adds current block if it's nonempty.
 if len(UpperCAmelCase__					) > 0:
  blocks.append("\n".join(UpperCAmelCase__					)					)

 # Add final block after end_prompt if provided.
 if end_prompt is not None and index < len(UpperCAmelCase__					):
  blocks.append("\n".join(lines[index:]					)					)

 return blocks


def 	UpperCAmelCase__      (      UpperCAmelCase__ :int					):






 '''simple docstring'''

 def _inner(UpperCAmelCase__ :Tuple					):
  return key(UpperCAmelCase__					).lower().replace("_" ,					""					)

 return _inner


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Dict ,					UpperCAmelCase__ :Dict=None					):






 '''simple docstring'''

 def noop(UpperCAmelCase__ :int					):
  return x

 if key is None:
  a						=		noop
 # Constants are all uppercase, they go first.
 a						=		[obj for obj in objects if key(UpperCAmelCase__					).isupper()]
 # Classes are not all uppercase but start with a capital, they go second.
 a						=		[obj for obj in objects if key(UpperCAmelCase__					)[0].isupper() and not key(UpperCAmelCase__					).isupper()]
 # Functions begin with a lowercase, they go last.
 a						=		[obj for obj in objects if not key(UpperCAmelCase__					)[0].isupper()]

 a						=		ignore_underscore(UpperCAmelCase__					)
 return sorted(UpperCAmelCase__ ,					key=UpperCAmelCase__					) + sorted(UpperCAmelCase__ ,					key=UpperCAmelCase__					) + sorted(UpperCAmelCase__ ,					key=UpperCAmelCase__					)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Any					):






 '''simple docstring'''

 def _replace(UpperCAmelCase__ :Optional[Any]					):
  a						=		match.groups()[0]
  if "," not in imports:
   return F"""[{imports}]"""
  a						=		[part.strip().replace("\"" ,					""					) for part in imports.split(","					)]
  # We will have a final empty element if the line finished with a comma.
  if len(keys[-1]					) == 0:
   a						=		keys[:-1]
  return "[" + ", ".join([F"""\"{k}\"""" for k in sort_objects(UpperCAmelCase__					)]					) + "]"

 a						=		import_statement.split("\n"					)
 if len(UpperCAmelCase__					) > 3:
  # Here we have to sort internal imports that are on several lines (one per name):
  # key: [
  #     "object1",
  #     "object2",
  #     ...
  # ]

  # We may have to ignore one or two lines on each side.
  a						=		2 if lines[1].strip() == "[" else 1
  a						=		[(i, _re_strip_line.search(UpperCAmelCase__					).groups()[0]) for i, line in enumerate(lines[idx:-idx]					)]
  a						=		sort_objects(UpperCAmelCase__ ,					key=lambda UpperCAmelCase__					: x[1]					)
  a						=		[lines[x[0] + idx] for x in sorted_indices]
  return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]					)
 elif len(UpperCAmelCase__					) == 3:
  # Here we have to sort internal imports that are on one separate line:
  # key: [
  #     "object1", "object2", ...
  # ]
  if _re_bracket_content.search(lines[1]					) is not None:
   a						=		_re_bracket_content.sub(_replace ,					lines[1]					)
  else:
   a						=		[part.strip().replace("\"" ,					""					) for part in lines[1].split(","					)]
   # We will have a final empty element if the line finished with a comma.
   if len(keys[-1]					) == 0:
    a						=		keys[:-1]
   a						=		get_indent(lines[1]					) + ", ".join([F"""\"{k}\"""" for k in sort_objects(UpperCAmelCase__					)]					)
  return "\n".join(UpperCAmelCase__					)
 else:
  # Finally we have to deal with imports fitting on one line
  a						=		_re_bracket_content.sub(_replace ,					UpperCAmelCase__					)
  return import_statement


def 	UpperCAmelCase__      (      UpperCAmelCase__ :List[Any] ,					UpperCAmelCase__ :Optional[Any]=True					):






 '''simple docstring'''

 with open(UpperCAmelCase__ ,					"r"					) as f:
  a						=		f.read()

 if "_import_structure" not in code:
  return

 # Blocks of indent level 0
 a						=		split_code_in_indented_blocks(
     UpperCAmelCase__ ,					start_prompt="_import_structure = {" ,					end_prompt="if TYPE_CHECKING:"					)

 # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
 for block_idx in range(1 ,					len(UpperCAmelCase__					) - 1					):
  # Check if the block contains some `_import_structure`s thingy to sort.
  a						=		main_blocks[block_idx]
  a						=		block.split("\n"					)

  # Get to the start of the imports.
  a						=		0
  while line_idx < len(UpperCAmelCase__					) and "_import_structure" not in block_lines[line_idx]:
   # Skip dummy import blocks
   if "import dummy" in block_lines[line_idx]:
    a						=		len(UpperCAmelCase__					)
   else:
    line_idx += 1
  if line_idx >= len(UpperCAmelCase__					):
   continue

  # Ignore beginning and last line: they don't contain anything.
  a						=		"\n".join(block_lines[line_idx:-1]					)
  a						=		get_indent(block_lines[1]					)
  # Slit the internal block into blocks of indent level 1.
  a						=		split_code_in_indented_blocks(UpperCAmelCase__ ,					indent_level=UpperCAmelCase__					)
  # We have two categories of import key: list or _import_structure[key].append/extend
  a						=		_re_direct_key if "_import_structure" in block_lines[0] else _re_indirect_key
  # Grab the keys, but there is a trap: some lines are empty or just comments.
  a						=		[(pattern.search(UpperCAmelCase__					).groups()[0] if pattern.search(UpperCAmelCase__					) is not None else None) for b in internal_blocks]
  # We only sort the lines with a key.
  a						=		[(i, key) for i, key in enumerate(UpperCAmelCase__					) if key is not None]
  a						=		[x[0] for x in sorted(UpperCAmelCase__ ,					key=lambda UpperCAmelCase__					: x[1]					)]

  # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
  a						=		0
  a						=		[]
  for i in range(len(UpperCAmelCase__					)					):
   if keys[i] is None:
    reordered_blocks.append(internal_blocks[i]					)
   else:
    a						=		sort_objects_in_import(internal_blocks[sorted_indices[count]]					)
    reordered_blocks.append(UpperCAmelCase__					)
    count += 1

        # And we put our main block back together with its first and last line.
  a						=		"\n".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]					)

 if code != "\n".join(UpperCAmelCase__					):
  if check_only:
   return True
  else:
   print(F"""Overwriting {file}."""					)
   with open(UpperCAmelCase__ ,					"w"					) as f:
    f.write("\n".join(UpperCAmelCase__					)					)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :int=True					):






 '''simple docstring'''

 a						=		[]
 for root, _, files in os.walk(UpperCAmelCase__					):
  if "__init__.py" in files:
   a						=		sort_imports(os.path.join(UpperCAmelCase__ ,					"__init__.py"					) ,					check_only=UpperCAmelCase__					)
   if result:
    a						=		[os.path.join(UpperCAmelCase__ ,					"__init__.py"					)]
 if len(UpperCAmelCase__					) > 0:
  raise ValueError(F"""Would overwrite {len(UpperCAmelCase__					)} files, run `make style`."""					)


if __name__ == "__main__":
     A_		:     Union[str, Any]        =     argparse.ArgumentParser()
     parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
     A_		:     Dict        =     parser.parse_args()

     sort_imports_in_all_inits(check_only=args.check_only)






from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel
from ...schedulers import ScoreSdeVeScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput



class 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			42
   _UpperCAmelCase     	=			42

   def __init__(      self			:       Optional[Any]							,   __lowerCAmelCase			:       UNetaDModel							,   __lowerCAmelCase			:       ScoreSdeVeScheduler							)       ->				str:


    """simple docstring"""






    super().__init__()
    self.register_modules(unet=__lowerCAmelCase							,   scheduler=__lowerCAmelCase							)




   @torch.no_grad()
   def __call__(      self			:       int							,   __lowerCAmelCase			:       int = 1							,   __lowerCAmelCase			:       int = 2000							,   __lowerCAmelCase			:       Optional[Union[torch.Generator, List[torch.Generator]]] = None							,   __lowerCAmelCase			:       Optional[str] = "pil"							,   __lowerCAmelCase			:       bool = True							,   **__lowerCAmelCase			:       Any							,   )       ->				Union[ImagePipelineOutput, Tuple]:


    """simple docstring"""






    a						=		self.unet.config.sample_size
    a						=		(batch_size, 3, img_size, img_size)

    a						=		self.unet

    a						=		randn_tensor(__lowerCAmelCase							,   generator=__lowerCAmelCase							) * self.scheduler.init_noise_sigma
    a						=		sample.to(self.device							)

    self.scheduler.set_timesteps(__lowerCAmelCase							)
    self.scheduler.set_sigmas(__lowerCAmelCase							)

    for i, t in enumerate(self.progress_bar(self.scheduler.timesteps							)							):
     a						=		self.scheduler.sigmas[i] * torch.ones(shape[0]							,   device=self.device							)

     # correction step
     for _ in range(self.scheduler.config.correct_steps							):
      a						=		self.unet(__lowerCAmelCase							,   __lowerCAmelCase							).sample
      a						=		self.scheduler.step_correct(__lowerCAmelCase							,   __lowerCAmelCase							,   generator=__lowerCAmelCase							).prev_sample

     # prediction step
     a						=		model(__lowerCAmelCase							,   __lowerCAmelCase							).sample
     a						=		self.scheduler.step_pred(__lowerCAmelCase							,   __lowerCAmelCase							,   __lowerCAmelCase							,   generator=__lowerCAmelCase							)

     a		,  a						=		output.prev_sample, output.prev_sample_mean

    a						=		sample_mean.clamp(0							,   1							)
    a						=		sample.cpu().permute(0							,   2							,   3							,   1							).numpy()
    if output_type == "pil":
     a						=		self.numpy_to_pil(__lowerCAmelCase							)

    if not return_dict:
     return (sample,)

    return ImagePipelineOutput(images=__lowerCAmelCase							)

