






import os
import sys
import unittest


__UpperCamelCase					:		Dict	  =						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					:		Any	  =						os.path.join(git_repo_path, """src""", """diffusers""")


class   __SCREAMING_SNAKE_CASE(	unittest.TestCase	):
							def lowerCAmelCase_ (     self:      Optional[Any]						)		->		Optional[Any]:
											snake_case__									=     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")

											snake_case__									=     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")

											snake_case__									=     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:      Union[str, Any]						)		->		str:
											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'       ,	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:      str						)		->		List[str]:
											snake_case__									=     create_dummy_object('CONSTANT'       ,	'\'torch\''						)
											self.assertEqual(UpperCamelCase       ,	'\nCONSTANT = None\n'						)

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

											snake_case__									=     '\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'
											snake_case__									=     create_dummy_object('FakeClass'       ,	'\'torch\''						)
											self.assertEqual(UpperCamelCase       ,	UpperCamelCase						)


							def lowerCAmelCase_ (     self:      List[str]						)		->		List[Any]:
											snake_case__									=     '# 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'
											snake_case__									=     create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']}						)
											self.assertEqual(dummy_files['torch']       ,	UpperCamelCase						)








from argparse import ArgumentParser

from .env import EnvironmentCommand
def      a_ (      )			->			Optional[Any]:







				"""simple docstring"""
				snake_case__									=     ArgumentParser('Diffusers CLI tool'      ,   usage='diffusers-cli <command> [<args>]'  )
				snake_case__									=     parser.add_subparsers(help='diffusers-cli command helpers'  )

				# Register commands
				EnvironmentCommand.register_subcommand(_A  )

				# Let's go
				snake_case__									=     parser.parse_args()

				if not hasattr(_A      ,   'func'  ):
								parser.print_help()
								exit(1  )

				# Run
				snake_case__									=     args.func(_A  )
				service.run()


if __name__ == "__main__":
							main()




