


import os
import sys
import unittest


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







class 			_lowercase (							unittest.TestCase):


       """simple docstring"""




       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  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")

             lowerCamelCase__		:				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")

             lowerCamelCase__		:				Dict    =  find_backend(
                 "    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"       )
             self.assertEqual(__lowerCamelCase					,      "torch_and_transformers_and_onnx"       )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[Any]    =  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 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  create_dummy_object("CONSTANT"					,      "\'torch\'"       )
             self.assertEqual(__lowerCamelCase					,      "\nCONSTANT = None\n"       )

             lowerCamelCase__		:				List[str]    =  create_dummy_object("function"					,      "\'torch\'"       )
             self.assertEqual(
                 __lowerCamelCase					,      "\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n"       )

             lowerCamelCase__		:				Optional[Any]    =  "\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"
             lowerCamelCase__		:				List[str]    =  create_dummy_object("FakeClass"					,      "\'torch\'"       )
             self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Dict    =  "# 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"
             lowerCamelCase__		:				List[str]    =  create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}       )
             self.assertEqual(dummy_files["torch"]					,      __lowerCamelCase       )





from __future__ import annotations

import collections
import pprint
from pathlib import Path





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return "".join(sorted(UpperCamelCase__      )      )





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return word_by_signature[signature(UpperCamelCase__      )]


_UpperCAmelCase		:   str										=       Path(__file__).parent.joinpath("""words.txt""").read_text(encoding="""utf-8""")
_UpperCAmelCase		:   Dict										=       sorted({word.strip().lower() for word in data.splitlines()})

_UpperCAmelCase		:   List[str]										=       collections.defaultdict(list)
for word in word_list:
					word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
					_UpperCAmelCase		:   Dict										=       {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

					with open("""anagrams.txt""", """w""") as file:
										file.write("""all_anagrams = \n """)
										file.write(pprint.pformat(all_anagrams))




