


'''simple docstring'''



import os
import sys
import unittest


__UpperCAmelCase				       =     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
__UpperCAmelCase				       =     os.path.join(git_repo_path, "src", "diffusers")



class 			a       (	unittest.TestCase ):


     """simple docstring"""






     def 				lowerCamelCase__				(       self  :	Tuple    )		->							Optional[int]:
          __UpperCAmelCase			:				List[Any]													=    find_backend('''    if not is_torch_available():'''    )
          self.assertEqual(snake_case							,				'''torch'''    )

          # backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
          # self.assertEqual(backend_with_underscore, "tensorflow_text")

          __UpperCAmelCase			:				List[str]													=    find_backend('''    if not (is_torch_available() and is_transformers_available()):'''    )
          self.assertEqual(snake_case							,				'''torch_and_transformers'''    )

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

          __UpperCAmelCase			:				Any													=    find_backend(
              '''    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'''    )
          self.assertEqual(snake_case							,				'''torch_and_transformers_and_onnx'''    )

     def 				lowerCamelCase__				(       self  :	int    )		->							str:
          __UpperCAmelCase			:				Union[str, Any]													=    read_init()
          # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
          self.assertIn('''torch'''							,				snake_case    )
          self.assertIn('''torch_and_transformers'''							,				snake_case    )
          self.assertIn('''flax_and_transformers'''							,				snake_case    )
          self.assertIn('''torch_and_transformers_and_onnx'''							,				snake_case    )

          # Likewise, we can't assert on the exact content of a key
          self.assertIn('''UNet2DModel'''							,				objects['''torch''']    )
          self.assertIn('''FlaxUNet2DConditionModel'''							,				objects['''flax''']    )
          self.assertIn('''StableDiffusionPipeline'''							,				objects['''torch_and_transformers''']    )
          self.assertIn('''FlaxStableDiffusionPipeline'''							,				objects['''flax_and_transformers''']    )
          self.assertIn('''LMSDiscreteScheduler'''							,				objects['''torch_and_scipy''']    )
          self.assertIn('''OnnxStableDiffusionPipeline'''							,				objects['''torch_and_transformers_and_onnx''']    )

     def 				lowerCamelCase__				(       self  :	Union[str, Any]    )		->							List[Any]:
          __UpperCAmelCase			:				Dict													=    create_dummy_object('''CONSTANT'''							,				'''\'torch\''''    )
          self.assertEqual(snake_case							,				'''\nCONSTANT = None\n'''    )

          __UpperCAmelCase			:				List[str]													=    create_dummy_object('''function'''							,				'''\'torch\''''    )
          self.assertEqual(
              snake_case							,				'''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''    )

          __UpperCAmelCase			:				Tuple													=    '''
class FakeClass(metaclass=DummyObject):
    _backends = \'torch\'

    def __init__(self, *args, **kwargs):
        requires_backends(self, \'torch\')

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, \'torch\')

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, \'torch\')
'''
          __UpperCAmelCase			:				List[str]													=    create_dummy_object('''FakeClass'''							,				'''\'torch\''''    )
          self.assertEqual(snake_case							,				snake_case    )






     def 				lowerCamelCase__				(       self  :	str    )		->							Any:
          __UpperCAmelCase			:				int													=    '''# 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"])

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, ["torch"])

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, ["torch"])
'''
          __UpperCAmelCase			:				str													=    create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}    )
          self.assertEqual(dummy_files['''torch''']							,				snake_case    )



'''simple docstring'''



def 			_a			(		_lowercase      :			int = 50000000						):





     '''simple docstring'''






     __UpperCAmelCase			:				List[str]													=    set()
     __UpperCAmelCase			:				Tuple													=    int((limit - 24) ** (1 / 2)						)

     __UpperCAmelCase			:				Tuple													=    set(range(3    ,      prime_square_limit + 1    ,      2						)						)
     primes.add(2						)
     for p in range(3    ,      prime_square_limit + 1    ,      2						):
          if p not in primes:
               continue
          primes.difference_update(set(range(p * p    ,      prime_square_limit + 1    ,      _lowercase						)						)						)

     for primea in primes:
          __UpperCAmelCase			:				Any													=    primea * primea
          for primea in primes:
               __UpperCAmelCase			:				Any													=    primea * primea * primea
               if square + cube >= limit - 16:
                    break
               for primea in primes:
                    __UpperCAmelCase			:				Optional[Any]													=    primea * primea * primea * primea
                    __UpperCAmelCase			:				Union[str, Any]													=    square + cube + tetr
                    if total >= limit:
                         break
                    ret.add(_lowercase						)

     return len(_lowercase						)


if __name__ == "__main__":
      print(f"""{solution() = }""")