

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 						__magic_name__    (       unittest.TestCase    ):


 def _UpperCamelCase	(						self		: Any    )    ->      Union[str, Any]:
   UpperCAmelCase					      =  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					      =  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					      =  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		: Optional[int]    )    ->      List[str]:
   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"			,						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		: Optional[Any]    )    ->      int:
   UpperCAmelCase					      =  create_dummy_object("CONSTANT"			,						"'torch'"    )
   self.assertEqual(lowerCAmelCase__			,						"\nCONSTANT = None\n"    )

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

   UpperCAmelCase					      =  "\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"
   UpperCAmelCase					      =  create_dummy_object("FakeClass"			,						"'torch'"    )
   self.assertEqual(lowerCAmelCase__			,						lowerCAmelCase__    )


 def _UpperCamelCase	(						self		: Any    )    ->      int:
   UpperCAmelCase					      =  "# 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"
   UpperCAmelCase					      =  create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}    )
   self.assertEqual(dummy_files["torch"]			,						lowerCAmelCase__    )






lowerCAmelCase__       = {
    "a": "AAAAA",
    "b": "AAAAB",
    "c": "AAABA",
    "d": "AAABB",
    "e": "AABAA",
    "f": "AABAB",
    "g": "AABBA",
    "h": "AABBB",
    "i": "ABAAA",
    "j": "BBBAA",
    "k": "ABAAB",
    "l": "ABABA",
    "m": "ABABB",
    "n": "ABBAA",
    "o": "ABBAB",
    "p": "ABBBA",
    "q": "ABBBB",
    "r": "BAAAA",
    "s": "BAAAB",
    "t": "BAABA",
    "u": "BAABB",
    "v": "BBBAB",
    "w": "BABAA",
    "x": "BABAB",
    "y": "BABBA",
    "z": "BABBB",
    " ": " ",
}


lowerCAmelCase__       = {value: key for key, value in encode_dict.items()}
def      _lowerCAmelCase(	__A			):
  UpperCAmelCase					      =  ""
  for letter in word.lower():
    if letter.isalpha() or letter == " ":
      encoded += encode_dict[letter]
    else:
      raise Exception("encode() accepts only letters of the alphabet and spaces"			)
  return encoded
def      _lowerCAmelCase(	__A			):
  if set(__A			) - {"A", "B", " "} != set():
    raise Exception("decode() accepts only 'A', 'B' and spaces"			)
  UpperCAmelCase					      =  ""
  for word in coded.split():
    while len(__A			) != 0:
      decoded += decode_dict[word[:5]]
      UpperCAmelCase					      =  word[5:]
    decoded += " "
  return decoded.strip()


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

      testmod()



