import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict



@dataclass
class     _A   (    __UpperCAmelCase							):
  SCREAMING_SNAKE_CASE_	:	Dict						=ComputeEnvironment.AMAZON_SAGEMAKER
  SCREAMING_SNAKE_CASE_	:	int						=True
  SCREAMING_SNAKE_CASE_	:	Dict						='''ml.p3.2xlarge'''
  SCREAMING_SNAKE_CASE_	:	List[Any]						='''accelerate_sagemaker_execution_role'''
  SCREAMING_SNAKE_CASE_	:	int						='''hf-sm'''
  SCREAMING_SNAKE_CASE_	:	List[Any]						='''us-east-1'''
  SCREAMING_SNAKE_CASE_	:	List[Any]						=1
  SCREAMING_SNAKE_CASE_	:	List[str]						='''accelerate-sagemaker-1'''
  SCREAMING_SNAKE_CASE_	:	Optional[int]						='''1.6'''
  SCREAMING_SNAKE_CASE_	:	List[str]						='''4.4'''
  SCREAMING_SNAKE_CASE_	:	List[str]						='''train.py'''
  SCREAMING_SNAKE_CASE_	:	Tuple						=[
      '''--model_name_or_path''',
      '''bert''',
      '''--do_train''',
      '''False''',
      '''--epochs''',
      '''3''',
      '''--learning_rate''',
      '''5e-5''',
      '''--max_steps''',
      '''50.5''',
  ]
  SCREAMING_SNAKE_CASE_	:	Optional[int]						=[
      '''--model_name_or_path''',
      '''bert''',
      '''--do_train''',
      '''--do_test''',
      '''False''',
      '''--do_predict''',
      '''--epochs''',
      '''3''',
      '''--learning_rate''',
      '''5e-5''',
      '''--max_steps''',
      '''50.5''',
  ]



class     _A   (    unittest.TestCase							):






  def 		_a					(self	)		->      Optional[Any]:





       '''simple docstring'''





       UpperCamelCase__										=      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args	)
       assert isinstance(converted_args['''model_name_or_path''']   ,				__SCREAMING_SNAKE_CASE	)
       assert isinstance(converted_args['''do_train''']   ,				__SCREAMING_SNAKE_CASE	)
       assert isinstance(converted_args['''epochs''']   ,				__SCREAMING_SNAKE_CASE	)
       assert isinstance(converted_args['''learning_rate''']   ,				__SCREAMING_SNAKE_CASE	)
       assert isinstance(converted_args['''max_steps''']   ,				__SCREAMING_SNAKE_CASE	)

       with pytest.raises(__SCREAMING_SNAKE_CASE	):
            _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args	)




from ...configuration_utils import PretrainedConfig
from ...utils import logging


__magic_name__								=logging.get_logger(__name__)

__magic_name__								={
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}



class     _A   (    __UpperCamelCase							):
  SCREAMING_SNAKE_CASE_	:	Dict						="vit_mae"






  def __init__(self   ,				SCREAMING_SNAKE_CASE_=768   ,				SCREAMING_SNAKE_CASE_=12   ,				SCREAMING_SNAKE_CASE_=12   ,				SCREAMING_SNAKE_CASE_=3072   ,				SCREAMING_SNAKE_CASE_="gelu"   ,				SCREAMING_SNAKE_CASE_=0.0   ,				SCREAMING_SNAKE_CASE_=0.0   ,				SCREAMING_SNAKE_CASE_=0.02   ,				SCREAMING_SNAKE_CASE_=1E-12   ,				SCREAMING_SNAKE_CASE_=224   ,				SCREAMING_SNAKE_CASE_=16   ,				SCREAMING_SNAKE_CASE_=3   ,				SCREAMING_SNAKE_CASE_=True   ,				SCREAMING_SNAKE_CASE_=16   ,				SCREAMING_SNAKE_CASE_=512   ,				SCREAMING_SNAKE_CASE_=8   ,				SCREAMING_SNAKE_CASE_=2048   ,				SCREAMING_SNAKE_CASE_=0.75   ,				SCREAMING_SNAKE_CASE_=False   ,				**SCREAMING_SNAKE_CASE_   ,				)		->      Optional[Any]:





       '''simple docstring'''





       super().__init__(**SCREAMING_SNAKE_CASE_	)

       UpperCamelCase__										=      hidden_size
       UpperCamelCase__										=      num_hidden_layers
       UpperCamelCase__										=      num_attention_heads
       UpperCamelCase__										=      intermediate_size
       UpperCamelCase__										=      hidden_act
       UpperCamelCase__										=      hidden_dropout_prob
       UpperCamelCase__										=      attention_probs_dropout_prob
       UpperCamelCase__										=      initializer_range
       UpperCamelCase__										=      layer_norm_eps
       UpperCamelCase__										=      image_size
       UpperCamelCase__										=      patch_size
       UpperCamelCase__										=      num_channels
       UpperCamelCase__										=      qkv_bias
       UpperCamelCase__										=      decoder_num_attention_heads
       UpperCamelCase__										=      decoder_hidden_size
       UpperCamelCase__										=      decoder_num_hidden_layers
       UpperCamelCase__										=      decoder_intermediate_size
       UpperCamelCase__										=      mask_ratio
       UpperCamelCase__										=      norm_pix_loss



