

'''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				: str 							=						'src/transformers'

# Matches is_xxx_available()
_a				: Dict 							=						re.compile(R'is\_([a-z_]*)_available()')
# Matches from xxx import bla
_a				: Tuple 							=						re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
_a				: int 							=						re.compile(R'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')


_a				: List[str] 							=						'\n{0} = None\n'

_a				: str 							=						'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


_a				: Union[str, Any] 							=						'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Tuple						):
  if _re_test_backend.search(SCREAMING_SNAKE_CASE						) is None:
    return None
  UpperCAmelCase													=	[b[0] for b in _re_backend.findall(SCREAMING_SNAKE_CASE						)]
  backends.sort()
  return "_and_".join(SCREAMING_SNAKE_CASE						)


def       lowerCamelCase__		(						):
  with open(os.path.join(SCREAMING_SNAKE_CASE       ,   '__init__.py'						)       ,   'r'       ,   encoding='utf-8'       ,   newline='\n'						) as f:
    UpperCAmelCase													=	f.readlines()

  # Get to the point we do the actual imports for type checking
  UpperCAmelCase													=	0
  while not lines[line_index].startswith('if TYPE_CHECKING'						):
    line_index += 1

  UpperCAmelCase													=	{}
  # Go through the end of the file
  while line_index < len(SCREAMING_SNAKE_CASE						):
    # If the line is an if is_backend_available, we grab all objects associated.
    UpperCAmelCase													=	find_backend(lines[line_index]						)
    if backend is not None:
      while not lines[line_index].startswith('    else:'						):
        line_index += 1
      line_index += 1

      UpperCAmelCase													=	[]
      # Until we unindent, add backend objects to the list
      while len(lines[line_index]						) <= 1 or lines[line_index].startswith(' ' * 8						):
        UpperCAmelCase													=	lines[line_index]
        UpperCAmelCase													=	_re_single_line_import.search(SCREAMING_SNAKE_CASE						)
        if single_line_import_search is not None:
          objects.extend(single_line_import_search.groups()[0].split(', '						)						)
        elif line.startswith(' ' * 12						):
          objects.append(line[12:-2]						)
        line_index += 1

      UpperCAmelCase													=	objects
    else:
      line_index += 1

  return backend_specific_objects


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Dict       ,   SCREAMING_SNAKE_CASE      :   List[Any]						):
  if name.isupper():
    return DUMMY_CONSTANT.format(SCREAMING_SNAKE_CASE						)
  elif name.islower():
    return DUMMY_FUNCTION.format(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)
  else:
    return DUMMY_CLASS.format(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)


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

  for backend, objects in backend_specific_objects.items():
    UpperCAmelCase													=	'[' + ', '.join(f'''"{b}"''' for b in backend.split('_and_'						)						) + ']'
    UpperCAmelCase													=	'# 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(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						) for o in objects]						)
    UpperCAmelCase													=	dummy_file

  return dummy_files


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Any=False						):
  UpperCAmelCase													=	create_dummy_files()
  # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
  UpperCAmelCase													=	{'torch': 'pt'}

  # Locate actual dummy modules and read their content.
  UpperCAmelCase													=	os.path.join(SCREAMING_SNAKE_CASE       ,   'utils'						)
  UpperCAmelCase													=	{
      backend: os.path.join(SCREAMING_SNAKE_CASE       ,   f'''dummy_{short_names.get(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)}_objects.py'''						)
      for backend in dummy_files.keys()
  }

  UpperCAmelCase													=	{}
  for backend, file_path in dummy_file_paths.items():
    if os.path.isfile(SCREAMING_SNAKE_CASE						):
      with open(SCREAMING_SNAKE_CASE       ,   'r'       ,   encoding='utf-8'       ,   newline='\n'						) as f:
        UpperCAmelCase													=	f.read()
    else:
      UpperCAmelCase													=	''

  for backend in dummy_files.keys():
    if dummy_files[backend] != actual_dummies[backend]:
      if overwrite:
        print(
            f'''Updating transformers.utils.dummy_{short_names.get(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)}_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'''transformers.utils.dummy_{short_names.get(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)}_objects.py. Run `make fix-copies` '''
            'to fix this.'						)


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

  check_dummies(args.fix_and_overwrite)





'''simple docstring'''




from typing import List, Optional, Tuple, Union

from . import logging
from .import_utils import is_torch_available, is_torch_version


if is_torch_available():
  import torch

_a				: List[Any] 							=						logging.get_logger(__name__)  # pylint: disable=invalid-name

try:
  from torch._dynamo import allow_in_graph as maybe_allow_in_graph
except (ImportError, ModuleNotFoundError):


  def       lowerCamelCase__		(						cls      :   Dict						):
    return cls


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Union[Tuple, List]       ,   SCREAMING_SNAKE_CASE      :   Optional[Union[List["torch.Generator"], "torch.Generator"]] = None       ,   SCREAMING_SNAKE_CASE      :   Optional["torch.device"] = None       ,   SCREAMING_SNAKE_CASE      :   Optional["torch.dtype"] = None       ,   SCREAMING_SNAKE_CASE      :   Optional["torch.layout"] = None       ,   ):
  UpperCAmelCase													=	device
  UpperCAmelCase													=	shape[0]

  UpperCAmelCase													=	layout or torch.strided
  UpperCAmelCase													=	device or torch.device('cpu'						)

  if generator is not None:
    UpperCAmelCase													=	generator.device.type if not isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						) else generator[0].device.type
    if gen_device_type != device.type and gen_device_type == "cpu":
      UpperCAmelCase													=	'cpu'
      if device != "mps":
        logger.info(
            f'''The passed generator was created on \'cpu\' even though a tensor on {device} was expected.'''
            f''' Tensors will be created on \'cpu\' and then moved to {device}. Note that one can probably'''
            f''' slighly speed up this function by passing a generator that was created on the {device} device.'''						)
    elif gen_device_type != device.type and gen_device_type == "cuda":
      raise ValueError(f'''Cannot generate a {device} tensor from a generator of type {gen_device_type}.'''						)

  if isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						):
    UpperCAmelCase													=	(1,) + shape[1:]
    UpperCAmelCase													=	[
        torch.randn(SCREAMING_SNAKE_CASE       ,   generator=generator[i]       ,   device=SCREAMING_SNAKE_CASE       ,   dtype=SCREAMING_SNAKE_CASE       ,   layout=SCREAMING_SNAKE_CASE						)
        for i in range(SCREAMING_SNAKE_CASE						)
    ]
    UpperCAmelCase													=	torch.cat(SCREAMING_SNAKE_CASE       ,   dim=0						).to(SCREAMING_SNAKE_CASE						)
  else:
    UpperCAmelCase													=	torch.randn(SCREAMING_SNAKE_CASE       ,   generator=SCREAMING_SNAKE_CASE       ,   device=SCREAMING_SNAKE_CASE       ,   dtype=SCREAMING_SNAKE_CASE       ,   layout=SCREAMING_SNAKE_CASE						).to(SCREAMING_SNAKE_CASE						)

  return latents



def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Tuple						):
  if is_torch_version('<'       ,   '2.0.0'						) or not hasattr(SCREAMING_SNAKE_CASE       ,   '_dynamo'						):
    return False
  return isinstance(SCREAMING_SNAKE_CASE       ,   torch._dynamo.eval_frame.OptimizedModule						)


