





import os
import sys
import unittest


SCREAMING_SNAKE_CASE_						       =	os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
SCREAMING_SNAKE_CASE_						       =	os.path.join(git_repo_path, """src""", """transformers""")

SCREAMING_SNAKE_CASE_						       =	"""
{0} = None
"""

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

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


SCREAMING_SNAKE_CASE_						       =	"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""

class 		UpperCamelCase__			(				unittest.TestCase       ):



     '''simple docstring'''

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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						find_backend("""    _import_structure[\"models.albert\"].append(\"AlbertTokenizerFast\")"""	)
           self.assertIsNone(lowerCamelCase__	)

           SCREAMING_SNAKE_CASE		=						find_backend("""    if not is_tokenizers_available():"""	)
           self.assertEqual(lowerCamelCase__						,"""tokenizers"""	)

           SCREAMING_SNAKE_CASE		=						find_backend("""    if not is_tensorflow_text_available():"""	)
           self.assertEqual(lowerCamelCase__						,"""tensorflow_text"""	)

           SCREAMING_SNAKE_CASE		=						find_backend("""    if not (is_sentencepiece_available() and is_tokenizers_available()):"""	)
           self.assertEqual(lowerCamelCase__						,"""sentencepiece_and_tokenizers"""	)

           SCREAMING_SNAKE_CASE		=						find_backend(
               """    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"""	)
           self.assertEqual(lowerCamelCase__						,"""sentencepiece_and_tensorflow_text"""	)

           SCREAMING_SNAKE_CASE		=						find_backend(
               """    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):"""	)
           self.assertEqual(lowerCamelCase__						,"""sentencepiece_and_tokenizers_and_vision"""	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   str	)					->		int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						read_init()
           # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
           self.assertIn("""torch"""						,lowerCamelCase__	)
           self.assertIn("""tensorflow_text"""						,lowerCamelCase__	)
           self.assertIn("""sentencepiece_and_tokenizers"""						,lowerCamelCase__	)

           # Likewise, we can't assert on the exact content of a key
           self.assertIn("""BertModel"""						,objects["""torch"""]	)
           self.assertIn("""TFBertModel"""						,objects["""tf"""]	)
           self.assertIn("""FlaxBertModel"""						,objects["""flax"""]	)
           self.assertIn("""BertModel"""						,objects["""torch"""]	)
           self.assertIn("""TFBertTokenizer"""						,objects["""tensorflow_text"""]	)
           self.assertIn("""convert_slow_tokenizer"""						,objects["""sentencepiece_and_tokenizers"""]	)






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						create_dummy_object("""CONSTANT"""						,"""'torch'"""	)
           self.assertEqual(lowerCamelCase__						,"""\nCONSTANT = None\n"""	)

           SCREAMING_SNAKE_CASE		=						create_dummy_object("""function"""						,"""'torch'"""	)
           self.assertEqual(
               lowerCamelCase__						,"""\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"""	)

           SCREAMING_SNAKE_CASE		=						"""
class FakeClass(metaclass=DummyObject):
    _backends = 'torch'

    def __init__(self, *args, **kwargs):
        requires_backends(self, 'torch')
"""
           SCREAMING_SNAKE_CASE		=						create_dummy_object("""FakeClass"""						,"""'torch'"""	)
           self.assertEqual(lowerCamelCase__						,lowerCamelCase__	)






     def     SCREAMING_SNAKE_CASE__  (							self						:   int	)					->		Tuple:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						"""# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends


CONSTANT = None


def function(*args, **kwargs):
    requires_backends(function, [\"torch\"])


class FakeClass(metaclass=DummyObject):
    _backends = [\"torch\"]

    def __init__(self, *args, **kwargs):
        requires_backends(self, [\"torch\"])
"""
           SCREAMING_SNAKE_CASE		=						create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}	)
           self.assertEqual(dummy_files["""torch"""]						,lowerCamelCase__	)









from __future__ import annotations

import math



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       bool:


      '''simple docstring'''


      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5			,						int(math.sqrt(_SCREAMING_SNAKE_CASE     ) + 1     )			,						6     ):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       list[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						str(_SCREAMING_SNAKE_CASE     )
      SCREAMING_SNAKE_CASE		=						[n]
      for i in range(1			,						len(_SCREAMING_SNAKE_CASE     )     ):
            list_nums.append(int(str_num[i:]     )     )
            list_nums.append(int(str_num[:-i]     )     )
      return list_nums



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       bool:


      '''simple docstring'''


      if len(str(_SCREAMING_SNAKE_CASE     )     ) > 3:
            if not is_prime(int(str(_SCREAMING_SNAKE_CASE     )[-3:]     )     ) or not is_prime(int(str(_SCREAMING_SNAKE_CASE     )[:3]     )     ):
                  return False
      return True



def        __lowercase       (				_SCREAMING_SNAKE_CASE = 11     )			->       list[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						[]
      SCREAMING_SNAKE_CASE		=						13
      while len(_SCREAMING_SNAKE_CASE     ) != count:
            if validate(_SCREAMING_SNAKE_CASE     ):
                  SCREAMING_SNAKE_CASE		=						list_truncated_nums(_SCREAMING_SNAKE_CASE     )
                  if all(is_prime(_SCREAMING_SNAKE_CASE     ) for i in list_nums     ):
                        list_truncated_primes.append(_SCREAMING_SNAKE_CASE     )
            num += 2
      return list_truncated_primes



def        __lowercase       (				)			->       int:


      '''simple docstring'''


      return sum(compute_truncated_primes(11     )     )


if __name__ == "__main__":
      print(F'''{sum(compute_truncated_primes(1_1)) = }''')


