import os
import sys
import unittest


_lowercase:	Optional[int]       			=		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
_lowercase:	int       			=		os.path.join(git_repo_path, '''src''', '''diffusers''')



class        lowerCamelCase__				(   unittest.TestCase				):





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any						):
										_lowerCAmelCase							=							find_backend('    if not is_torch_available():'						)
										self.assertEqual(lowercase__  ,  'torch'						)

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

										_lowerCAmelCase							=							find_backend('    if not (is_torch_available() and is_transformers_available()):'						)
										self.assertEqual(lowercase__  ,  '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							=							find_backend(
										    '    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'						)
										self.assertEqual(lowercase__  ,  'torch_and_transformers_and_onnx'						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										_lowerCAmelCase							=							read_init()
										# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
										self.assertIn('torch'  ,  lowercase__						)
										self.assertIn('torch_and_transformers'  ,  lowercase__						)
										self.assertIn('flax_and_transformers'  ,  lowercase__						)
										self.assertIn('torch_and_transformers_and_onnx'  ,  lowercase__						)

										# 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   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										_lowerCAmelCase							=							create_dummy_object('CONSTANT'  ,  '\'torch\''						)
										self.assertEqual(lowercase__  ,  '\nCONSTANT = None\n'						)

										_lowerCAmelCase							=							create_dummy_object('function'  ,  '\'torch\''						)
										self.assertEqual(
										    lowercase__  ,  '\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'						)

										_lowerCAmelCase							=							'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, \'torch\')\n'
										_lowerCAmelCase							=							create_dummy_object('FakeClass'  ,  '\'torch\''						)
										self.assertEqual(lowercase__  ,  lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple						):
										_lowerCAmelCase							=							'# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, ["torch"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = ["torch"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, ["torch"])\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, ["torch"])\n'
										_lowerCAmelCase							=							create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}						)
										self.assertEqual(dummy_files['torch']  ,  lowercase__						)







import functools






def _lowerCamelCase  (		snake_case     , snake_case  ):

							# Validation
							if not isinstance(snake_case     , snake_case  ) or not all(isinstance(snake_case     , snake_case  ) for day in days  ):
														raise ValueError('The parameter days should be a list of integers'  )

							if len(snake_case  ) != 3 or not all(isinstance(snake_case     , snake_case  ) for cost in costs  ):
														raise ValueError('The parameter costs should be a list of three integers'  )

							if len(snake_case  ) == 0:
														return 0

							if min(snake_case  ) <= 0:
														raise ValueError('All days elements should be greater than 0'  )

							if max(snake_case  ) >= 366:
														raise ValueError('All days elements should be less than 366'  )

							_lowerCAmelCase							=							set(snake_case  )

							@functools.cache
							def dynamic_programming(snake_case  ) -> int:
														if index > 365:
																					return 0

														if index not in days_set:
																					return dynamic_programming(index + 1  )

														return min(
														    costs[0] + dynamic_programming(index + 1  )     , costs[1] + dynamic_programming(index + 7  )     , costs[2] + dynamic_programming(index + 30  )     , )

							return dynamic_programming(1  )


if __name__ == "__main__":
				import doctest

				doctest.testmod()






