

'''simple docstring'''






import argparse
import os
import re


lowerCAmelCase__   		=      '''src/diffusers'''

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


def 						_A	(       A__ ):






 """simple docstring"""



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


def 						_A	(       A__	,							A__=""	,							A__=None	,							A__=None ):






 """simple docstring"""



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

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

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

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

 return blocks


def 						_A	(       A__ ):






 """simple docstring"""



 def _inner(A__ ):
  return key(A__ ).lower().replace('''_'''	,							'''''' )

 return _inner


def 						_A	(       A__	,							A__=None ):






 """simple docstring"""



 def noop(A__ ):
  return x

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

 __lowercase				    =					ignore_underscore(A__ )
 return sorted(A__	,							key=A__ ) + sorted(A__	,							key=A__ ) + sorted(A__	,							key=A__ )


def 						_A	(       A__ ):






 """simple docstring"""



 def _replace(A__ ):
  __lowercase				    =					match.groups()[0]
  if "," not in imports:
   return F"[{imports}]"
  __lowercase				    =					[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:
   __lowercase				    =					keys[:-1]
  return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(A__ )] ) + "]"

 __lowercase				    =					import_statement.split('''\n''' )
 if len(A__ ) > 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.
  __lowercase				    =					2 if lines[1].strip() == '''[''' else 1
  __lowercase				    =					[(i, _re_strip_line.search(A__ ).groups()[0]) for i, line in enumerate(lines[idx:-idx] )]
  __lowercase				    =					sort_objects(A__	,							key=lambda A__ : x[1] )
  __lowercase				    =					[lines[x[0] + idx] for x in sorted_indices]
  return "\n".join(lines[:idx] + sorted_lines + lines[-idx:] )
 elif len(A__ ) == 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:
   __lowercase				    =					_re_bracket_content.sub(_replace	,							lines[1] )
  else:
   __lowercase				    =					[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:
    __lowercase				    =					keys[:-1]
   __lowercase				    =					get_indent(lines[1] ) + ''', '''.join([F"\"{k}\"" for k in sort_objects(A__ )] )
  return "\n".join(A__ )
 else:
  # Finally we have to deal with imports fitting on one line
  __lowercase				    =					_re_bracket_content.sub(_replace	,							A__ )
  return import_statement


def 						_A	(       A__	,							A__=True ):






 """simple docstring"""



 with open(A__	,							'''r''' ) as f:
  __lowercase				    =					f.read()

 if "_import_structure" not in code:
  return

 # Blocks of indent level 0
 __lowercase				    =					split_code_in_indented_blocks(
     A__	,							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(A__ ) - 1 ):
  # Check if the block contains some `_import_structure`s thingy to sort.
  __lowercase				    =					main_blocks[block_idx]
  __lowercase				    =					block.split('''\n''' )

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

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

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

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

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


def 						_A	(       A__=True ):






 """simple docstring"""



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


if __name__ == "__main__":
 lowerCAmelCase__   		=      argparse.ArgumentParser()
 parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
 lowerCAmelCase__   		=      parser.parse_args()

 sort_imports_in_all_inits(check_only=args.check_only)




"""simple docstring"""





import os
import shutil
from pathlib import Path
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging


if is_onnx_available():
							import onnxruntime as ort


__UpperCamelCase    : int				 =						logging.get_logger(__name__)

__UpperCamelCase    : Optional[Any]				 =						{
    '''tensor(bool)''': np.bool_,
    '''tensor(int8)''': np.inta,
    '''tensor(uint8)''': np.uinta,
    '''tensor(int16)''': np.intaa,
    '''tensor(uint16)''': np.uintaa,
    '''tensor(int32)''': np.intaa,
    '''tensor(uint32)''': np.uintaa,
    '''tensor(int64)''': np.intaa,
    '''tensor(uint64)''': np.uintaa,
    '''tensor(float16)''': np.floataa,
    '''tensor(float)''': np.floataa,
    '''tensor(double)''': np.floataa,
}







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Optional[Any]  ,lowercase_     :							Union[str, Any]=None  ,**lowercase_     :							List[str]						):
						logger.info('''`diffusers.OnnxRuntimeModel` is experimental and might change in the future.'''						)
						lowerCAmelCase__      :		List[str]    							=      model
						lowerCAmelCase__      :		Optional[Any]    							=      kwargs.get('''model_save_dir'''  ,lowercase_						)
						lowerCAmelCase__      :		str    							=      kwargs.get('''latest_model_name'''  ,lowercase_						)







					def __call__(			self     :							Any  ,**lowercase_     :							Dict						):
						lowerCAmelCase__      :		List[Any]    							=      {k: np.array(lowercase_						) for k, v in kwargs.items()}
						return self.model.run(lowercase_  ,lowercase_						)







					@staticmethod
					def 			__lowerCAmelCase					(			lowercase_     :							Union[str, Path]  ,lowercase_     :							str=None  ,lowercase_     :							str=None						):
						if provider is None:
							logger.info('''No onnxruntime provider specified, using CPUExecutionProvider'''						)
							lowerCAmelCase__      :		Optional[Any]    							=      '''CPUExecutionProvider'''

						return ort.InferenceSession(lowercase_  ,providers=[provider]  ,sess_options=lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							Optional[str] = None  ,**lowercase_     :							str						):
						lowerCAmelCase__      :		Any    							=      file_name if file_name is not None else ONNX_WEIGHTS_NAME

						lowerCAmelCase__      :		Tuple    							=      self.model_save_dir.joinpath(self.latest_model_name						)
						lowerCAmelCase__      :		List[Any]    							=      Path(lowercase_						).joinpath(lowercase_						)
						try:
							shutil.copyfile(lowercase_  ,lowercase_						)
						except shutil.SameFileError:
							pass

						# copy external weights (for models >2GB)
						lowerCAmelCase__      :		Dict    							=      self.model_save_dir.joinpath(lowercase_						)
						if src_path.exists():
							lowerCAmelCase__      :		Union[str, Any]    							=      Path(lowercase_						).joinpath(lowercase_						)
							try:
								shutil.copyfile(lowercase_  ,lowercase_						)
							except shutil.SameFileError:
								pass







					def 			__lowerCAmelCase					(			self     :							Optional[int]  ,lowercase_     :							Union[str, os.PathLike]  ,**lowercase_     :							Union[str, Any]  ,):
						if os.path.isfile(lowercase_						):
							logger.error(F'Provided path ({save_directory}) should be a directory, not a file'						)
							return

						os.makedirs(lowercase_  ,exist_ok=lowercase_						)

						# saving model weights/files
						self._save_pretrained(lowercase_  ,**lowercase_						)







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Dict  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							Optional[Union[bool, str, None]] = None  ,lowercase_     :							Optional[Union[str, None]] = None  ,lowercase_     :							bool = False  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional["ort.SessionOptions"] = None  ,**lowercase_     :							Optional[int]  ,):
						lowerCAmelCase__      :		Optional[Any]    							=      file_name if file_name is not None else ONNX_WEIGHTS_NAME
						# load model from local directory
						if os.path.isdir(lowercase_						):
							lowerCAmelCase__      :		str    							=      OnnxRuntimeModel.load_model(
							    os.path.join(lowercase_  ,lowercase_						)  ,provider=lowercase_  ,sess_options=lowercase_						)
							lowerCAmelCase__      :		Any    							=      Path(lowercase_						)
						# load model from hub
						else:
							# download model
							lowerCAmelCase__      :		Optional[Any]    							=      hf_hub_download(
							    repo_id=lowercase_  ,filename=lowercase_  ,use_auth_token=lowercase_  ,revision=lowercase_  ,cache_dir=lowercase_  ,force_download=lowercase_  ,)
							lowerCAmelCase__      :		str    							=      Path(lowercase_						).parent
							lowerCAmelCase__      :		Union[str, Any]    							=      Path(lowercase_						).name
							lowerCAmelCase__      :		Optional[Any]    							=      OnnxRuntimeModel.load_model(lowercase_  ,provider=lowercase_  ,sess_options=lowercase_						)
						return cls(model=lowercase_  ,**lowercase_						)







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Any  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							bool = True  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,**lowercase_     :							Any  ,):
						lowerCAmelCase__      :		Union[str, Any]    							=      None
						if len(str(lowercase_						).split('''@'''						)						) == 2:
							lowerCAmelCase__							,lowerCAmelCase__      :		str    							=      model_id.split('''@'''						)

						return cls._from_pretrained(
						    model_id=lowercase_  ,revision=lowercase_  ,cache_dir=lowercase_  ,force_download=lowercase_  ,use_auth_token=lowercase_  ,**lowercase_  ,)




