





# 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.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase=None )			->     Tuple:
    if subparsers is not None:
        lowerCamelCase__    :      Any					 =		subparsers.add_parser('test' )
    else:
        lowerCamelCase__    :      int					 =		argparse.ArgumentParser('Accelerate test command' )

    parser.add_argument(
        '--config_file'						,	default=_UpperCAmelCase						,	help=(
            'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
            'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
            'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
            'with \'huggingface\'.'
        )						,	)

    if subparsers is not None:
        parser.set_defaults(func=_UpperCAmelCase )
    return parser


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     Union[str, Any]:
    lowerCamelCase__    :      Tuple					 =		os.path.sep.join(__file__.split(os.path.sep )[:-2] + ['test_utils', 'scripts', 'test_script.py'] )

    if args.config_file is None:
        lowerCamelCase__    :      List[str]					 =		script_name
    else:
        lowerCamelCase__    :      List[Any]					 =		F"""--config_file={args.config_file} {script_name}"""

    lowerCamelCase__    :      str					 =		['accelerate-launch'] + test_args.split()
    lowerCamelCase__    :      Dict					 =		execute_subprocess_async(_UpperCAmelCase						,	env=os.environ.copy() )
    if result.returncode == 0:
        print('Test is a success! You are ready for your distributed training!' )


def        SCREAMING_SNAKE_CASE      (       )			->     Any:
    lowerCamelCase__    :      Any					 =		test_command_parser()
    lowerCamelCase__    :      List[Any]					 =		parser.parse_args()
    test_command(_UpperCAmelCase )


if __name__ == "__main__":
    main()













"""simple docstring"""






import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible




class 							lowerCAmelCase__				(			unittest.TestCase ):






      '''simple docstring'''

      def _SCREAMING_SNAKE_CASE (						self     :  str):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		[
              '''safety_checker/pytorch_model.bin''',
              '''safety_checker/model.safetensors''',
              '''vae/diffusion_pytorch_model.bin''',
              '''vae/diffusion_pytorch_model.safetensors''',
              '''text_encoder/pytorch_model.bin''',
              '''text_encoder/model.safetensors''',
              '''unet/diffusion_pytorch_model.bin''',
              '''unet/diffusion_pytorch_model.safetensors''',
          ]
          self.assertTrue(is_safetensors_compatible(lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		[
              '''unet/diffusion_pytorch_model.bin''',
              '''unet/diffusion_pytorch_model.safetensors''',
          ]
          self.assertTrue(is_safetensors_compatible(lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  List[str]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		[
              '''safety_checker/pytorch_model.bin''',
              '''safety_checker/model.safetensors''',
              '''vae/diffusion_pytorch_model.bin''',
              '''vae/diffusion_pytorch_model.safetensors''',
              '''text_encoder/pytorch_model.bin''',
              '''text_encoder/model.safetensors''',
              '''unet/diffusion_pytorch_model.bin''',
              # Removed: 'unet/diffusion_pytorch_model.safetensors',
          ]
          self.assertFalse(is_safetensors_compatible(lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  int):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		[
              '''text_encoder/pytorch_model.bin''',
              '''text_encoder/model.safetensors''',
          ]
          self.assertTrue(is_safetensors_compatible(lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		[
              '''safety_checker/pytorch_model.bin''',
              '''safety_checker/model.safetensors''',
              '''vae/diffusion_pytorch_model.bin''',
              '''vae/diffusion_pytorch_model.safetensors''',
              '''text_encoder/pytorch_model.bin''',
              # Removed: 'text_encoder/model.safetensors',
              '''unet/diffusion_pytorch_model.bin''',
              '''unet/diffusion_pytorch_model.safetensors''',
          ]
          self.assertFalse(is_safetensors_compatible(lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  str    						=		[
              '''safety_checker/pytorch_model.fp16.bin''',
              '''safety_checker/model.fp16.safetensors''',
              '''vae/diffusion_pytorch_model.fp16.bin''',
              '''vae/diffusion_pytorch_model.fp16.safetensors''',
              '''text_encoder/pytorch_model.fp16.bin''',
              '''text_encoder/model.fp16.safetensors''',
              '''unet/diffusion_pytorch_model.fp16.bin''',
              '''unet/diffusion_pytorch_model.fp16.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  Any    						=		'''fp16'''
          self.assertTrue(is_safetensors_compatible(lowercase_						,	variant=lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  str):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		[
              '''unet/diffusion_pytorch_model.fp16.bin''',
              '''unet/diffusion_pytorch_model.fp16.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  Dict    						=		'''fp16'''
          self.assertTrue(is_safetensors_compatible(lowercase_						,	variant=lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  int):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[str]    						=		[
              '''unet/diffusion_pytorch_model.bin''',
              '''unet/diffusion_pytorch_model.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  Any    						=		'''fp16'''
          self.assertTrue(is_safetensors_compatible(lowercase_						,	variant=lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  Union[str, Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Tuple    						=		[
              '''safety_checker/pytorch_model.fp16.bin''',
              '''safety_checker/model.fp16.safetensors''',
              '''vae/diffusion_pytorch_model.fp16.bin''',
              '''vae/diffusion_pytorch_model.fp16.safetensors''',
              '''text_encoder/pytorch_model.fp16.bin''',
              '''text_encoder/model.fp16.safetensors''',
              '''unet/diffusion_pytorch_model.fp16.bin''',
              # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
          ]
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		'''fp16'''
          self.assertFalse(is_safetensors_compatible(lowercase_						,	variant=lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		[
              '''text_encoder/pytorch_model.fp16.bin''',
              '''text_encoder/model.fp16.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  Any    						=		'''fp16'''
          self.assertTrue(is_safetensors_compatible(lowercase_						,	variant=lowercase_))
      def _SCREAMING_SNAKE_CASE (						self     :  List[str]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		[
              '''text_encoder/pytorch_model.bin''',
              '''text_encoder/model.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		'''fp16'''
          self.assertTrue(is_safetensors_compatible(lowercase_						,	variant=lowercase_))



      def _SCREAMING_SNAKE_CASE (						self     :  Optional[Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		[
              '''safety_checker/pytorch_model.fp16.bin''',
              '''safety_checker/model.fp16.safetensors''',
              '''vae/diffusion_pytorch_model.fp16.bin''',
              '''vae/diffusion_pytorch_model.fp16.safetensors''',
              '''text_encoder/pytorch_model.fp16.bin''',
              # 'text_encoder/model.fp16.safetensors',
              '''unet/diffusion_pytorch_model.fp16.bin''',
              '''unet/diffusion_pytorch_model.fp16.safetensors''',
          ]
          SCREAMING_SNAKE_CASE_      :  str    						=		'''fp16'''
          self.assertFalse(is_safetensors_compatible(lowercase_						,	variant=lowercase_))


