


import os
import sys
import unittest


__snake_case   							=						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   							=						os.path.join(git_repo_path, '''src''', '''diffusers''')



class 	__lowerCamelCase			(unittest.TestCase						):







       def 		snake_case_	(			self: str					):






            '''simple docstring'''




            __UpperCamelCase =			find_backend('    if not is_torch_available():'					)
            self.assertEqual(__SCREAMING_SNAKE_CASE,'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(__SCREAMING_SNAKE_CASE,'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(__SCREAMING_SNAKE_CASE,'torch_and_transformers_and_onnx'					)







       def 		snake_case_	(			self: Any					):






            '''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',__SCREAMING_SNAKE_CASE					)
            self.assertIn('torch_and_transformers',__SCREAMING_SNAKE_CASE					)
            self.assertIn('flax_and_transformers',__SCREAMING_SNAKE_CASE					)
            self.assertIn('torch_and_transformers_and_onnx',__SCREAMING_SNAKE_CASE					)

            # 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 		snake_case_	(			self: str					):






            '''simple docstring'''




            __UpperCamelCase =			create_dummy_object('CONSTANT','\'torch\''					)
            self.assertEqual(__SCREAMING_SNAKE_CASE,'\nCONSTANT = None\n'					)

            __UpperCamelCase =			create_dummy_object('function','\'torch\''					)
            self.assertEqual(
                __SCREAMING_SNAKE_CASE,'\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(__SCREAMING_SNAKE_CASE,__SCREAMING_SNAKE_CASE					)







       def 		snake_case_	(			self: Dict					):






            '''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'],__SCREAMING_SNAKE_CASE					)




def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__		):
      if index == number_of_items:
            return 0
      UpperCamelCase__     : str											=					0
      UpperCamelCase__     : Optional[Any]											=					0
      UpperCamelCase__     : int											=					knapsack(UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		index + 1		)
      if weights[index] <= max_weight:
            UpperCamelCase__     : List[Any]											=					values[index] + knapsack(
                UpperCamelCase__			,		UpperCamelCase__			,		UpperCamelCase__			,		max_weight - weights[index]			,		index + 1		)
      return max(UpperCamelCase__			,		UpperCamelCase__		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()


