
import os
import sys
import unittest


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







class 							lowerCAmelCase__   ( unittest.TestCase						):

						def 			A_					(      self					)       ->   Optional[Any]:


								'''simple docstring'''

								_UpperCamelCase         =						find_backend("""    if not is_torch_available():"""					)
								self.assertEqual(A_							,				"""torch"""					)

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

								_UpperCamelCase         =						find_backend("""    if not (is_torch_available() and is_transformers_available()):"""					)
								self.assertEqual(A_							,				"""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         =						find_backend(
								    """    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"""					)
								self.assertEqual(A_							,				"""torch_and_transformers_and_onnx"""					)

						def 			A_					(      self					)       ->   Dict:


								'''simple docstring'''

								_UpperCamelCase         =						read_init()
								# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
								self.assertIn("""torch"""							,				A_					)
								self.assertIn("""torch_and_transformers"""							,				A_					)
								self.assertIn("""flax_and_transformers"""							,				A_					)
								self.assertIn("""torch_and_transformers_and_onnx"""							,				A_					)

								# 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 			A_					(      self					)       ->   int:


								'''simple docstring'''

								_UpperCamelCase         =						create_dummy_object("""CONSTANT"""							,				"""'torch'"""					)
								self.assertEqual(A_							,				"""\nCONSTANT = None\n"""					)

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

								_UpperCamelCase         =						"""
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         =						create_dummy_object("""FakeClass"""							,				"""'torch'"""					)
								self.assertEqual(A_							,				A_					)







						def 			A_					(      self					)       ->   Optional[int]:


								'''simple docstring'''

								_UpperCamelCase         =						"""# 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         =						create_dummy_files({"""torch""": ["""CONSTANT""", """function""", """FakeClass"""]}					)
								self.assertEqual(dummy_files["""torch"""]							,				A_					)







"""simple docstring"""




def       a_ (	lowercase__ :str,			lowercase__ :int     ):
			return [sentence[i : i + ngram_size] for i in range(len(lowercase__     ) - ngram_size + 1     )]


if __name__ == "__main__":
					from doctest import testmod

					testmod()




