






"""simple docstring"""



import os
import sys
import unittest


A__	:    Optional[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__	:    Tuple			 = os.path.join(git_repo_path, 'src', 'diffusers')







class        lowercase__      (							unittest.TestCase       ):


   def      UpperCAmelCase__						(				self					:  Any ):
          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_	:							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")

          lowerCamelCase_	:							Optional[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					:  List[str] ):
          lowerCamelCase_	:							Optional[int]									=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					:  List[str] ):
          lowerCamelCase_	:							Any									=create_dummy_object("CONSTANT"       ,	"\'torch\'" )
          self.assertEqual(_lowerCamelCase       ,	"\nCONSTANT = None\n" )

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

          lowerCamelCase_	:							Dict									="\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[Any]									=create_dummy_object("FakeClass"       ,	"\'torch\'" )
          self.assertEqual(_lowerCamelCase       ,	_lowerCamelCase )


   def      UpperCAmelCase__						(				self					:  str ):
          lowerCamelCase_	:							str									="# 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_	:							Optional[int]									=create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]} )
          self.assertEqual(dummy_files["torch"]       ,	_lowerCamelCase )











"""simple docstring"""



# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Optional[int]									=ArgumentParser("Accelerate CLI tool"    ,						usage="accelerate <command> [<args>]"    ,						allow_abbrev=lowerCamelCase__  )
							lowerCamelCase_	:							Optional[int]									=parser.add_subparsers(help="accelerate command helpers"  )

							# Register commands
							get_config_parser(subparsers=lowerCamelCase__  )
							env_command_parser(subparsers=lowerCamelCase__  )
							launch_command_parser(subparsers=lowerCamelCase__  )
							tpu_command_parser(subparsers=lowerCamelCase__  )
							test_command_parser(subparsers=lowerCamelCase__  )

							# Let's go
							lowerCamelCase_	:							int									=parser.parse_args()

							if not hasattr(lowerCamelCase__    ,						"func"  ):
														parser.print_help()
														exit(1  )

							# Run
							args.func(lowerCamelCase__  )


if __name__ == "__main__":
						main()



