
"""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
UpperCamelCase_						   =   """src/transformers"""

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


UpperCamelCase_						   =   """
{0} = None
"""

UpperCamelCase_						   =   """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


UpperCamelCase_						   =   """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""
def    UpperCamelCase						(					UpperCAmelCase     )						->int:

   """simple docstring"""



   if _re_test_backend.search(UpperCAmelCase     ) is None:
      return None
   a_						   =     [b[0] for b in _re_backend.findall(UpperCAmelCase     )]
   backends.sort()
   return "_and_".join(UpperCAmelCase     )
def    UpperCamelCase						(					)						->List[Any]:

   """simple docstring"""



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

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

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

         a_						   =     []
         # Until we unindent, add backend objects to the list
         while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(" " * 8     ):
            a_						   =     lines[line_index]
            a_						   =     _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(" " * 12     ):
               objects.append(line[12:-2]     )
            line_index += 1

         a_						   =     objects
      else:
         line_index += 1

   return backend_specific_objects
def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase     )						->int:

   """simple docstring"""



   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    UpperCamelCase						(					UpperCAmelCase=None     )						->Tuple:

   """simple docstring"""



   if backend_specific_objects is None:
      a_						   =     read_init()
   # For special correspondence backend to module name as used in the function requires_modulename
   a_						   =     {}

   for backend, objects in backend_specific_objects.items():
      a_						   =     "[" + ", ".join(F'''\"{b}\"''' for b in backend.split("_and_"     )     ) + "]"
      a_						   =     "# 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]     )
      a_						   =     dummy_file

   return dummy_files
def    UpperCamelCase						(					UpperCAmelCase=False     )						->Union[str, Any]:

   """simple docstring"""



   a_						   =     create_dummy_files()
   # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
   a_						   =     {"torch": "pt"}

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

   a_						   =     {}
   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:
            a_						   =     f.read()
      else:
         a_						   =     ""

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


if __name__ == "__main__":
      UpperCamelCase_						   =   argparse.ArgumentParser()
      parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
      UpperCamelCase_						   =   parser.parse_args()

      check_dummies(args.fix_and_overwrite)






import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  def __init__(   self    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   None:
     warnings.warn(
         '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use DetrImageProcessor instead.'''    ,							UpperCAmelCase    ,							)
     super().__init__(*UpperCAmelCase    ,							**UpperCAmelCase      )

