






'''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 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				find_backend("""    if not is_torch_available():"""			)
       self.assertEqual(__lowerCAmelCase      ,  """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(__lowerCAmelCase      ,  """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_					: Union[str, Any]            =				find_backend(
           """    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"""			)
       self.assertEqual(__lowerCAmelCase      ,  """torch_and_transformers_and_onnx"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Dict            =				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("""torch_and_transformers"""      ,  __lowerCAmelCase			)
       self.assertIn("""flax_and_transformers"""      ,  __lowerCAmelCase			)
       self.assertIn("""torch_and_transformers_and_onnx"""      ,  __lowerCAmelCase			)

       # 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 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: str            =				create_dummy_object("""CONSTANT"""      ,  """'torch'"""			)
       self.assertEqual(__lowerCAmelCase      ,  """\nCONSTANT = None\n"""			)

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

       UpperCamelCase_					: Optional[int]            =				"""
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_					: Optional[int]            =				create_dummy_object("""FakeClass"""      ,  """'torch'"""			)
       self.assertEqual(__lowerCAmelCase      ,  __lowerCAmelCase			)





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[str]            =				"""# 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"""]      ,  __lowerCAmelCase			)














'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 @staticmethod
 @abstractmethod
 def 	_UpperCAmelCase							(				__lowerCAmelCase			):
       raise NotImplementedError()





 @abstractmethod
 def 	_UpperCAmelCase							(				self			):
       raise NotImplementedError()






