






"""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_						:					Dict      				=			"""src/transformers"""

# Matches is_xxx_available()
UpperCamelCase_						:					str      				=			re.compile(r"""is\_([a-z_]*)_available()""")
# Matches from xxx import bla
UpperCamelCase_						:					Union[str, Any]      				=			re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
UpperCamelCase_						:					Any      				=			re.compile(r"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")


UpperCamelCase_						:					Optional[Any]      				=			"""
{0} = None
"""

UpperCamelCase_						:					Optional[int]      				=			"""
class {0}(metaclass=DummyObject):
    _backends = {1}

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


UpperCamelCase_						:					List[str]      				=			"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""



def      __lowercase       (     a			:					Optional[int]			)       ->       List[str]:
      if _re_test_backend.search(a			) is None:
            return None
      __snake_case   :     Union[str, Any]	      =[b[0] for b in _re_backend.findall(a			)]
      backends.sort()
      return "_and_".join(a			)



def      __lowercase       (     )       ->       Union[str, Any]:
      with open(os.path.join(a							,		'''__init__.py'''			)							,		'''r'''							,		encoding='''utf-8'''							,		newline='''\n'''			) as f:
            __snake_case   :     Optional[Any]	      =f.readlines()

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

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

                  __snake_case   :     List[str]	      =[]
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]			) <= 1 or lines[line_index].startswith(''' ''' * 8			):
                        __snake_case   :     str	      =lines[line_index]
                        __snake_case   :     Optional[Any]	      =_re_single_line_import.search(a			)
                        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

                  __snake_case   :     Union[str, Any]	      =objects
            else:
                  line_index += 1

      return backend_specific_objects



def      __lowercase       (     a			:					Union[str, Any]							,		a			:					Optional[Any]			)       ->       str:
      if name.isupper():
            return DUMMY_CONSTANT.format(a			)
      elif name.islower():
            return DUMMY_FUNCTION.format(a							,		a			)
      else:
            return DUMMY_CLASS.format(a							,		a			)



def      __lowercase       (     a			:					List[str]=None			)       ->       Union[str, Any]:
      if backend_specific_objects is None:
            __snake_case   :     int	      =read_init()
      # For special correspondence backend to module name as used in the function requires_modulename
      __snake_case   :     Any	      ={}

      for backend, objects in backend_specific_objects.items():
            __snake_case   :     Tuple	      ='''[''' + ''', '''.join(f'''"{b}"''' for b in backend.split('''_and_'''			)			) + ''']'''
            __snake_case   :     List[Any]	      ='''# 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(a							,		a			) for o in objects]			)
            __snake_case   :     Any	      =dummy_file

      return dummy_files



def      __lowercase       (     a			:					List[Any]=False			)       ->       str:
      __snake_case   :     Any	      =create_dummy_files()
      # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
      __snake_case   :     Optional[Any]	      ={'''torch''': '''pt'''}

      # Locate actual dummy modules and read their content.
      __snake_case   :     Optional[int]	      =os.path.join(a							,		'''utils'''			)
      __snake_case   :     Optional[Any]	      ={
          backend: os.path.join(a							,		f'''dummy_{short_names.get(a							,		a			)}_objects.py'''			)
          for backend in dummy_files.keys()
      }

      __snake_case   :     Tuple	      ={}
      for backend, file_path in dummy_file_paths.items():
            if os.path.isfile(a			):
                  with open(a							,		'''r'''							,		encoding='''utf-8'''							,		newline='''\n'''			) as f:
                        __snake_case   :     List[str]	      =f.read()
            else:
                  __snake_case   :     Optional[Any]	      =''''''

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


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

    check_dummies(args.fix_and_overwrite)










"""simple docstring"""





import numpy as np



def      __lowercase       (     a			:					Union[str, Any]							,		a			:					Optional[Any]							,		a			:					List[str]			)       ->       Dict:
      __snake_case   :     Dict	      =n_draws * class_counts / class_counts.sum()
      # floored means we don't overshoot n_samples, but probably undershoot
      __snake_case   :     int	      =np.floor(a			)
      # we add samples according to how much "left over" probability
      # they had, until we arrive at n_samples
      __snake_case   :     Dict	      =int(n_draws - floored.sum()			)
      if need_to_add > 0:
            __snake_case   :     List[str]	      =continuous - floored
            __snake_case   :     str	      =np.sort(np.unique(a			)			)[::-1]
            # add according to remainder, but break ties
            # randomly to avoid biases
            for value in values:
                  ((__snake_case)      ,					)   :     Tuple	      =np.where(remainder == value			)
                  # if we need_to_add less than what's in inds
                  # we draw randomly from them.
                  # if we need to add more, we add them all and
                  # go to the next value
                  __snake_case   :     int	      =min(len(a			)							,		a			)
                  __snake_case   :     Any	      =rng.choice(a							,		size=a							,		replace=a			)
                  floored[inds] += 1
                  need_to_add -= add_now
                  if need_to_add == 0:
                        break
      return floored.astype(np.intaa			)



def      __lowercase       (     a			:					Any							,		a			:					str							,		a			:					Dict							,		a			:					Union[str, Any]							,		a			:					Union[str, Any]=10			)       ->       Any:
      __snake_case      ,					__snake_case   :     int	      =np.unique(a							,		return_inverse=a			)
      __snake_case   :     Dict	      =classes.shape[0]
      __snake_case   :     int	      =np.bincount(a			)
      if np.min(a			) < 2:
            raise ValueError('''Minimum class count error'''			)
      if n_train < n_classes:
            raise ValueError(
                '''The train_size = %d should be greater or ''' '''equal to the number of classes = %d''' % (n_train, n_classes)			)
      if n_test < n_classes:
            raise ValueError(
                '''The test_size = %d should be greater or ''' '''equal to the number of classes = %d''' % (n_test, n_classes)			)
      __snake_case   :     str	      =np.split(np.argsort(a							,		kind='''mergesort'''			)							,		np.cumsum(a			)[:-1]			)
      for _ in range(a			):
            __snake_case   :     str	      =approximate_mode(a							,		a							,		a			)
            __snake_case   :     List[str]	      =class_counts - n_i
            __snake_case   :     Union[str, Any]	      =approximate_mode(a							,		a							,		a			)

            __snake_case   :     int	      =[]
            __snake_case   :     Union[str, Any]	      =[]

            for i in range(a			):
                  __snake_case   :     Union[str, Any]	      =rng.permutation(class_counts[i]			)
                  __snake_case   :     Dict	      =class_indices[i].take(a							,		mode='''clip'''			)
                  train.extend(perm_indices_class_i[: n_i[i]]			)
                  test.extend(perm_indices_class_i[n_i[i] : n_i[i] + t_i[i]]			)
            __snake_case   :     Any	      =rng.permutation(a			)
            __snake_case   :     int	      =rng.permutation(a			)

            yield train, test


