




"""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_      =    '''src/diffusers'''

# Matches is_xxx_available()
A_      =    re.compile(r'''is\_([a-z_]*)_available\(\)''')
# Matches from xxx import bla
A_      =    re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')


A_      =    '''\n{0} = None\n'''

A_      =    '''\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n'''


A_      =    '''\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'''


def  UpperCAmelCase__	(snake_case__							: Optional[Any]   ):
  """simple docstring"""

  _snake_case							:		int								=  _re_backend.findall(snake_case__   )
  if len(snake_case__   ) == 0:
    return None

  return "_and_".join(snake_case__   )


def  UpperCAmelCase__	():
  """simple docstring"""

  with open(os.path.join(snake_case__		,       """__init__.py"""   )		,       """r"""		,       encoding="""utf-8"""		,       newline="""\n"""   ) as f:
    _snake_case							:		List[str]								=  f.readlines()

  # Get to the point we do the actual imports for type checking
  _snake_case							:		str								=  0
  _snake_case							:		str								=  {}
  # Go through the end of the file
  while line_index < len(snake_case__   ):
    # If the line contains is_backend_available, we grab all objects associated with the `else` block
    _snake_case							:		Tuple								=  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 line_index < len(snake_case__   ) and len(lines[line_index]   ) > 1:
        _snake_case							:		str								=  lines[line_index]
        _snake_case							:		Optional[Any]								=  _re_single_line_import.search(snake_case__   )
        if single_line_import_search is not None:
          objects.extend(single_line_import_search.groups()[0].split(""", """   )   )
        elif line.startswith(""" """ * 8   ):
          objects.append(line[8:-2]   )
        line_index += 1

      if len(snake_case__   ) > 0:
        _snake_case							:		Optional[int]								=  objects
    else:
      line_index += 1

  return backend_specific_objects


def  UpperCAmelCase__	(snake_case__							: Union[str, Any]		,       snake_case__							: Optional[Any]   ):
  """simple docstring"""

  if name.isupper():
    return DUMMY_CONSTANT.format(snake_case__   )
  elif name.islower():
    return DUMMY_FUNCTION.format(snake_case__		,       snake_case__   )
  else:
    return DUMMY_CLASS.format(snake_case__		,       snake_case__   )


def  UpperCAmelCase__	(snake_case__							: Dict=None   ):
  """simple docstring"""

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

  for backend, objects in backend_specific_objects.items():
    _snake_case							:		Any								=  """[""" + """, """.join(F"\"{b}\"" for b in backend.split("""_and_"""   )   ) + """]"""
    _snake_case							:		Tuple								=  """# 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(snake_case__		,       snake_case__   ) for o in objects]   )
    _snake_case							:		List[Any]								=  dummy_file

  return dummy_files


def  UpperCAmelCase__	(snake_case__							: Any=False   ):
  """simple docstring"""

  _snake_case							:		str								=  create_dummy_files()
  # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
  _snake_case							:		Union[str, Any]								=  {"""torch""": """pt"""}

  # Locate actual dummy modules and read their content.
  _snake_case							:		str								=  os.path.join(snake_case__		,       """utils"""   )
  _snake_case							:		List[Any]								=  {
      backend: os.path.join(snake_case__		,       F"dummy_{short_names.get(snake_case__		,       snake_case__   )}_objects.py"   )
      for backend in dummy_files.keys()
  }

  _snake_case							:		int								=  {}
  for backend, file_path in dummy_file_paths.items():
    if os.path.isfile(snake_case__   ):
      with open(snake_case__		,       """r"""		,       encoding="""utf-8"""		,       newline="""\n"""   ) as f:
        _snake_case							:		Tuple								=  f.read()
    else:
      _snake_case							:		str								=  """"""

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


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

     check_dummies(args.fix_and_overwrite)





"""simple docstring"""


import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


A_      =    get_tests_dir('''fixtures/spiece.model''')






@require_sentencepiece
@require_tokenizers
class  lowercase(					__a	,      unittest.TestCase			):







 '''simple docstring'''





 lowercase__			 = AlbertTokenizer
 lowercase__			 = AlbertTokenizerFast
 lowercase__			 = True
 lowercase__			 = True
 lowercase__			 = True


 def 			UpperCamelCase_       (    self:		str		):




   '''simple docstring'''



   super().setUp()

   # We have a SentencePiece fixture for testing
   _snake_case							:		Optional[int]								=  AlbertTokenizer(a_		)
   tokenizer.save_pretrained(self.tmpdirname		)


 def 			UpperCamelCase_       (    self:		Optional[int],				a_:		int		):




   '''simple docstring'''



   _snake_case							:		Dict								=  """this is a test"""
   _snake_case							:		Optional[int]								=  """this is a test"""
   return input_text, output_text


 def 			UpperCamelCase_       (    self:		str		):




   '''simple docstring'''



   _snake_case							:		str								=  """<pad>"""
   _snake_case							:		List[Any]								=  0

   self.assertEqual(self.get_tokenizer()._convert_token_to_id(a_		),				a_		)
   self.assertEqual(self.get_tokenizer()._convert_id_to_token(a_		),				a_		)


 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  list(self.get_tokenizer().get_vocab().keys()		)

   self.assertEqual(vocab_keys[0],				"""<pad>"""		)
   self.assertEqual(vocab_keys[1],				"""<unk>"""		)
   self.assertEqual(vocab_keys[-1],				"""▁eloquent"""		)
   self.assertEqual(len(a_		),				30_000		)


 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   self.assertEqual(self.get_tokenizer().vocab_size,				30_000		)


 def 			UpperCamelCase_       (    self:		List[str]		):




   '''simple docstring'''



   if not self.test_rust_tokenizer:
     return

   _snake_case							:		Tuple								=  self.get_tokenizer()
   _snake_case							:		List[str]								=  self.get_rust_tokenizer()

   _snake_case							:		Optional[int]								=  """I was born in 92000, and this is falsé."""

   _snake_case							:		Optional[Any]								=  tokenizer.tokenize(a_		)
   _snake_case							:		List[str]								=  rust_tokenizer.tokenize(a_		)
   self.assertListEqual(a_,				a_		)

   _snake_case							:		Any								=  tokenizer.encode(a_,				add_special_tokens=a_		)
   _snake_case							:		Any								=  rust_tokenizer.encode(a_,				add_special_tokens=a_		)
   self.assertListEqual(a_,				a_		)

   _snake_case							:		int								=  self.get_rust_tokenizer()
   _snake_case							:		Dict								=  tokenizer.encode(a_		)
   _snake_case							:		Optional[int]								=  rust_tokenizer.encode(a_		)
   self.assertListEqual(a_,				a_		)


 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Any								=  AlbertTokenizer(a_,				keep_accents=a_		)

   _snake_case							:		Any								=  tokenizer.tokenize("""This is a test"""		)
   self.assertListEqual(a_,				["""▁this""", """▁is""", """▁a""", """▁test"""]		)

   self.assertListEqual(tokenizer.convert_tokens_to_ids(a_		),				[48, 25, 21, 1_289]		)

   _snake_case							:		Dict								=  tokenizer.tokenize("""I was born in 92000, and this is falsé."""		)
   self.assertListEqual(
       a_,				["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """."""]		)
   _snake_case							:		str								=  tokenizer.convert_tokens_to_ids(a_		)
   self.assertListEqual(a_,				[31, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]		)

   _snake_case							:		Tuple								=  tokenizer.convert_ids_to_tokens(a_		)
   self.assertListEqual(
       a_,				["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """."""],				)


 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  AlbertTokenizer(a_		)

   _snake_case							:		int								=  tokenizer.encode("""sequence builders"""		)
   _snake_case							:		Optional[int]								=  tokenizer.encode("""multi-sequence build"""		)

   _snake_case							:		Any								=  tokenizer.build_inputs_with_special_tokens(a_		)
   _snake_case							:		Union[str, Any]								=  tokenizer.build_inputs_with_special_tokens(a_,				a_		)

   assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
   assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
       tokenizer.sep_token_id
   ]


 @slow
 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   _snake_case							:		Any								=  {"""attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """input_ids""": [[2, 21_970, 13, 5, 6_092, 167, 28, 7_103, 2_153, 673, 8, 7_028, 12_051, 18, 17, 7_103, 2_153, 673, 8, 3_515, 18_684, 8, 4_461, 6, 1_927, 297, 8, 12_060, 2_607, 18, 13, 5, 4_461, 15, 10_538, 38, 8, 135, 15, 822, 58, 15, 993, 10_363, 15, 1_460, 8_005, 4_461, 15, 993, 255, 2_328, 9, 9, 9, 6, 26, 1_112, 816, 3_260, 13, 5, 103, 2_377, 6, 17, 1_112, 816, 2_782, 13, 5, 103, 10_641, 6, 29, 84, 2_512, 2_430, 782, 18_684, 2_761, 19, 808, 2_430, 2_556, 17, 855, 1_480, 9_477, 4_091, 128, 11_712, 15, 7_103, 2_153, 673, 17, 24_883, 9_990, 9, 3], [2, 11_502, 25, 1_006, 20, 782, 8, 11_809, 855, 1_732, 19_393, 18_667, 37, 367, 21_018, 69, 1_854, 34, 11_860, 19_124, 27, 156, 225, 17, 193, 4_141, 19, 65, 9_124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2_231, 886, 2_385, 17_659, 84, 14, 16_792, 1_952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
   # fmt: on

   self.tokenizer_integration_test_util(
       expected_encoding=a_,				model_name="""albert-base-v2""",				revision="""6b6560eaf5ff2e250b00c50f380c5389a9c2d82e""",				)


