




import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase				:		Dict     =   get_tests_dir("fixtures/test_sentencepiece.model")







@require_sentencepiece
@require_tokenizers
class   A(						UpperCamelCase							,      unittest.TestCase   ):



 '''simple docstring'''


 UpperCamelCase						   =						ReformerTokenizer
 UpperCamelCase						   =						ReformerTokenizerFast
 UpperCamelCase						   =						True
 UpperCamelCase						   =						False
 UpperCamelCase						   =						True

 def 				a__ (				self					:  Union[str, Any]  )   ->	int:

       """simple docstring"""






       super().setUp()

       lowerCamelCase_		     =    ReformerTokenizer(A_						,							keep_accents=A_  )
       tokenizer.save_pretrained(self.tmpdirname  )

 def 				a__ (				self					:  Union[str, Any]  )   ->	int:

       """simple docstring"""






       lowerCamelCase_		     =    '<s>'
       lowerCamelCase_		     =    1

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

 def 				a__ (				self					:  List[Any]  )   ->	List[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    list(self.get_tokenizer().get_vocab().keys()  )

       self.assertEqual(vocab_keys[0]						,							'<unk>'  )
       self.assertEqual(vocab_keys[1]						,							'<s>'  )
       self.assertEqual(vocab_keys[-1]						,							'j'  )
       self.assertEqual(len(A_  )						,							1000  )

 def 				a__ (				self					:  List[str]  )   ->	Optional[int]:

       """simple docstring"""






       self.assertEqual(self.get_tokenizer().vocab_size						,							1000  )

 def 				a__ (				self					:  List[Any]  )   ->	int:

       """simple docstring"""






       if not self.test_rust_tokenizer:
             return

       lowerCamelCase_		     =    self.get_tokenizer()
       lowerCamelCase_		     =    self.get_rust_tokenizer()

       lowerCamelCase_		     =    'I was born in 92000, and this is falsé.'

       lowerCamelCase_		     =    tokenizer.tokenize(A_  )
       lowerCamelCase_		     =    rust_tokenizer.tokenize(A_  )
       self.assertListEqual(A_						,							A_  )

       lowerCamelCase_		     =    tokenizer.encode(A_						,							add_special_tokens=A_  )
       lowerCamelCase_		     =    rust_tokenizer.encode(A_						,							add_special_tokens=A_  )
       self.assertListEqual(A_						,							A_  )

       lowerCamelCase_		     =    self.get_rust_tokenizer()
       lowerCamelCase_		     =    tokenizer.encode(A_  )
       lowerCamelCase_		     =    rust_tokenizer.encode(A_  )
       self.assertListEqual(A_						,							A_  )

 def 				a__ (				self					:  List[Any]						,							A_					:  Optional[int]=15  )   ->	List[Any]:

       """simple docstring"""






       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
                   lowerCamelCase_		     =    self.rust_tokenizer_class.from_pretrained(A_						,							**A_  )

                   # Simple input
                   lowerCamelCase_		     =    'This is a simple input'
                   lowerCamelCase_		     =    ['This is a simple input 1', 'This is a simple input 2']
                   lowerCamelCase_		     =    ('This is a simple input', 'This is a pair')
                   lowerCamelCase_		     =    [
                       ('This is a simple input 1', 'This is a simple input 2'),
                       ('This is a simple pair 1', 'This is a simple pair 2'),
                   ]

                   # Simple input tests
                   self.assertRaises(A_						,							tokenizer_r.encode						,							A_						,							max_length=A_						,							padding='max_length'  )

                   # Simple input
                   self.assertRaises(A_						,							tokenizer_r.encode_plus						,							A_						,							max_length=A_						,							padding='max_length'  )

                   # Simple input
                   self.assertRaises(
                       A_						,							tokenizer_r.batch_encode_plus						,							A_						,							max_length=A_						,							padding='max_length'						,							)

                   # Pair input
                   self.assertRaises(A_						,							tokenizer_r.encode						,							A_						,							max_length=A_						,							padding='max_length'  )

                   # Pair input
                   self.assertRaises(A_						,							tokenizer_r.encode_plus						,							A_						,							max_length=A_						,							padding='max_length'  )

                   # Pair input
                   self.assertRaises(
                       A_						,							tokenizer_r.batch_encode_plus						,							A_						,							max_length=A_						,							padding='max_length'						,							)

 def 				a__ (				self					:  Optional[Any]  )   ->	List[Any]:

       """simple docstring"""






       pass

 def 				a__ (				self					:  str  )   ->	Optional[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    ReformerTokenizer(A_						,							keep_accents=A_  )

       lowerCamelCase_		     =    tokenizer.tokenize('This is a test'  )
       self.assertListEqual(A_						,							['▁This', '▁is', '▁a', '▁t', 'est']  )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(A_  )						,							[285, 46, 10, 170, 382]						,							)

       lowerCamelCase_		     =    tokenizer.tokenize('I was born in 92000, and this is falsé.'  )
       self.assertListEqual(
           A_						,							[
               SPIECE_UNDERLINE + 'I',
               SPIECE_UNDERLINE + 'was',
               SPIECE_UNDERLINE + 'b',
               'or',
               'n',
               SPIECE_UNDERLINE + 'in',
               SPIECE_UNDERLINE + '',
               '9',
               '2',
               '0',
               '0',
               '0',
               ',',
               SPIECE_UNDERLINE + 'and',
               SPIECE_UNDERLINE + 'this',
               SPIECE_UNDERLINE + 'is',
               SPIECE_UNDERLINE + 'f',
               'al',
               's',
               'é',
               '.',
           ]						,							)
       lowerCamelCase_		     =    tokenizer.convert_tokens_to_ids(A_  )
       self.assertListEqual(
           A_						,							[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]						,							)

       lowerCamelCase_		     =    tokenizer.convert_ids_to_tokens(A_  )
       self.assertListEqual(
           A_						,							[
               SPIECE_UNDERLINE + 'I',
               SPIECE_UNDERLINE + 'was',
               SPIECE_UNDERLINE + 'b',
               'or',
               'n',
               SPIECE_UNDERLINE + 'in',
               SPIECE_UNDERLINE + '',
               '<unk>',
               '2',
               '0',
               '0',
               '0',
               ',',
               SPIECE_UNDERLINE + 'and',
               SPIECE_UNDERLINE + 'this',
               SPIECE_UNDERLINE + 'is',
               SPIECE_UNDERLINE + 'f',
               'al',
               's',
               '<unk>',
               '.',
           ]						,							)

 @cached_property
 def 				a__ (				self					:  Optional[int]  )   ->	List[str]:

       """simple docstring"""






       return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'  )

 @slow
 def 				a__ (				self					:  Optional[int]  )   ->	int:

       """simple docstring"""






       lowerCamelCase_		     =    'Hello World!'
       lowerCamelCase_		     =    [126, 32, 262, 152, 38, 72, 287]

       self.assertListEqual(A_						,							self.big_tokenizer.encode(A_  )  )

 @slow
 def 				a__ (				self					:  List[Any]  )   ->	Dict:

       """simple docstring"""






       lowerCamelCase_		     =    (
           'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
           ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
       )
       lowerCamelCase_		     =    [
           108,
           265,
           24,
           111,
           4,
           258,
           156,
           35,
           28,
           275,
           3,
           259,
           297,
           260,
           84,
           4,
           35,
           110,
           44,
           8,
           259,
           91,
           268,
           21,
           11,
           209,
           274,
           109,
           266,
           277,
           117,
           86,
           93,
           315,
           258,
           278,
           258,
           277,
           258,
           0,
           258,
           288,
           258,
           319,
           258,
           0,
           258,
           0,
           258,
           0,
           258,
           0,
           258,
           287,
           258,
           315,
           258,
           289,
           258,
           278,
           99,
           269,
           266,
           262,
           8,
           259,
           241,
           4,
           217,
           230,
           268,
           266,
           55,
           168,
           106,
           75,
           193,
           266,
           223,
           27,
           49,
           26,
           282,
           25,
           264,
           299,
           19,
           26,
           0,
           258,
           277,
           117,
           86,
           93,
           176,
           183,
           270,
           11,
           262,
           42,
           61,
           265,
       ]

       self.assertListEqual(A_						,							self.big_tokenizer.encode(A_  )  )

 @require_torch
 @slow
 def 				a__ (				self					:  str  )   ->	Optional[int]:

       """simple docstring"""






       import torch

       from transformers import ReformerConfig, ReformerModel

       # Build sequence
       lowerCamelCase_		     =    list(self.big_tokenizer.get_vocab().keys()  )[:10]
       lowerCamelCase_		     =    ' '.join(A_  )
       lowerCamelCase_		     =    self.big_tokenizer.encode_plus(A_						,							return_tensors='pt'  )
       lowerCamelCase_		     =    self.big_tokenizer.batch_encode_plus([sequence, sequence]						,							return_tensors='pt'  )

       lowerCamelCase_		     =    ReformerConfig()
       # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
       lowerCamelCase_		     =    encoded_sequence['input_ids'].shape
       lowerCamelCase_		     =    ReformerModel(A_  )

       # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
       assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

       with torch.no_grad():
             model(**A_  )
             model(**A_  )





 @slow
 def 				a__ (				self					:  Any  )   ->	Optional[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    {'input_ids': [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], '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]]}  # noqa: E501
       # fmt: on

       # This tokenizer does not know some characters like ")".
       # That is the reason why we use very simple texts here.
       # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
       lowerCamelCase_		     =    [
           'This is a very simple sentence.',
           'The quick brown fox jumps over the lazy dog.',
       ]

       self.tokenizer_integration_test_util(
           expected_encoding=A_						,							model_name='google/reformer-crime-and-punishment'						,							revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a'						,							padding=A_						,							sequences=A_						,							)









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
lowerCamelCase				:		Union[str, Any]     =   "src/diffusers"

# Matches is_xxx_available()
lowerCamelCase				:		Dict     =   re.compile(r"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
lowerCamelCase				:		Union[str, Any]     =   re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


lowerCamelCase				:		Any     =   "\n{0} = None\n"

lowerCamelCase				:		List[str]     =   "\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"


lowerCamelCase				:		str     =   "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[Any]     ):


      '''simple docstring'''



      lowerCamelCase_		     =    _re_backend.findall(lowercase     )
      if len(lowercase     ) == 0:
            return None

      return "_and_".join(lowercase     )

def 			_SCREAMING_SNAKE_CASE			(							):


      '''simple docstring'''



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

      # Get to the point we do the actual imports for type checking
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    {}
      # Go through the end of the file
      while line_index < len(lowercase     ):
            # If the line contains is_backend_available, we grab all objects associated with the `else` block
            lowerCamelCase_		     =    find_backend(lines[line_index]     )
            if backend is not None:
                  while not lines[line_index].startswith('else:'     ):
                        line_index += 1
                  line_index += 1
                  lowerCamelCase_		     =    []
                  # Until we unindent, add backend objects to the list
                  while line_index < len(lowercase     ) and len(lines[line_index]     ) > 1:
                        lowerCamelCase_		     =    lines[line_index]
                        lowerCamelCase_		     =    _re_single_line_import.search(lowercase     )
                        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(lowercase     ) > 0:
                        lowerCamelCase_		     =    objects
            else:
                  line_index += 1

      return backend_specific_objects

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[str]	,							lowercase	:       str     ):


      '''simple docstring'''



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

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[int]=None     ):


      '''simple docstring'''



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

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

      return dummy_files

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[int]=False     ):


      '''simple docstring'''



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

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

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

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


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

 check_dummies(args.fix_and_overwrite)



