



import os
import sys
import unittest


__snake_case    :		List[str]  =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
__snake_case    :		str  =os.path.join(git_repo_path, 'src', 'diffusers')



class 	lowerCamelCase__      (							unittest.TestCase):




		'''simple docstring'''



		def 		lowerCAmelCase__				(self			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					find_backend('''    if not is_torch_available():'''			)
						self.assertEqual(UpperCamelCase__		,'''torch'''			)

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

						lowerCAmelCase__					:    Optional[int]												=					find_backend('''    if not (is_torch_available() and is_transformers_available()):'''			)
						self.assertEqual(UpperCamelCase__		,'''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")

						lowerCAmelCase__					:    Optional[int]												=					find_backend(
						    '''    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'''			)
						self.assertEqual(UpperCamelCase__		,'''torch_and_transformers_and_onnx'''			)



		def 		lowerCAmelCase__				(self			)					->      Any:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[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'''		,UpperCamelCase__			)
						self.assertIn('''torch_and_transformers'''		,UpperCamelCase__			)
						self.assertIn('''flax_and_transformers'''		,UpperCamelCase__			)
						self.assertIn('''torch_and_transformers_and_onnx'''		,UpperCamelCase__			)

						# 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			)					->      Dict:

						"""simple docstring"""






						lowerCAmelCase__					:    Dict												=					create_dummy_object('''CONSTANT'''		,'''\'torch\''''			)
						self.assertEqual(UpperCamelCase__		,'''\nCONSTANT = None\n'''			)

						lowerCAmelCase__					:    Optional[Any]												=					create_dummy_object('''function'''		,'''\'torch\''''			)
						self.assertEqual(
						    UpperCamelCase__		,'''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''			)

						lowerCAmelCase__					:    Optional[Any]												=					'''
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\')
'''
						lowerCAmelCase__					:    int												=					create_dummy_object('''FakeClass'''		,'''\'torch\''''			)
						self.assertEqual(UpperCamelCase__		,UpperCamelCase__			)



		def 		lowerCAmelCase__				(self			)					->      List[str]:

						"""simple docstring"""






						lowerCAmelCase__					:    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"])
'''
						lowerCAmelCase__					:    Tuple												=					create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}			)
						self.assertEqual(dummy_files['''torch''']		,UpperCamelCase__			)






def      lowerCAmelCase__		(   lowerCamelCase_		:		int = 1000):





				'''simple docstring'''

				lowerCAmelCase__						,		lowerCAmelCase__					:    int												=					1, 1
				lowerCAmelCase__					:    Any												=					2
				while True:
								lowerCAmelCase__					:    Optional[Any]												=					0
								lowerCAmelCase__					:    Any												=					fa + fa
								lowerCAmelCase__						,		lowerCAmelCase__					:    Optional[Any]												=					fa, f
								index += 1
								for _ in str(lowerCamelCase_):
												i += 1
								if i == n:
												break
				return index


if __name__ == "__main__":
							print(solution(int(str(input()).strip())))

